Further details of my research can be found in the posters, flyers, and slides from talks enumerated by year below. A pdf copy of the resource may be downloaded by clicking on the image of the first slide.
Posters are divided into five subject areas, the first triad focusing on machine learning, and the final pair on condensed matter physics. Please click on an image to download and view the poster.
Machine learning for materials discovery
Machine learning for industrial chemicals and pharmaceuticals
Machine learning commercialization
Solid state physics
Ultracold atomic gases
Flyers for Alchemite™ offered by Intellegens are divided into three tranches, the first focusing on the machine learning software and generic applications, the second on application in alloy and battery design, and the final tranche on the application to industrial chemicals. Please click on an image to download and view the flyer.
Machine learning software and generic applications
Alloys and batteries
Chemicals and health sciences
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A repulsive atomic gas on the border of itinerant ferromagnetism Israeli Physical Society Conference. December 2009 |
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Inhomogeneous phase formation on the border of itinerant ferromagnetism Weizmann Institute of Science, Israel. June 2009 |
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Itinerant ferromagnetism: A quantum fluctuation driven FFLO analogue Birmingham Condensed Matter Physics Group, UK. May 2009 |
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FFLO instability in 2D atomic gases APS March meeting, USA. March 2009 |
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Quantum critical itinerant ferromagnetism Theory of Condensed Matter Group, University of Cambridge, UK. February 2009 |
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Electron gases of many flavours Abdus Salam Prize talk, University of Cambridge, UK. January 2009 |
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Quantum critical itinerant ferromagnetism St Andrews Condensed Matter Physics Group, UK. October 2008 |
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Physics at Work University of Cambridge, UK. September 2008 |
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Triplet pairing orbitals in a spin Theory of Condensed Matter Group, University of Cambridge, UK. June 2008 |
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The search for itinerant ferromagnetism with Quantum Monte Carlo Theory of Condensed Matter Group, University of Cambridge, UK. February 2008 |
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FFLO instability in 2D atomic gases Theory of Condensed Matter Group, University of Cambridge, UK. January 2008 |
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Physics at Work University of Cambridge, UK. September 2007 |
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Electron gases of many flavours Theory of Condensed Matter Group, University of Cambridge, UK. May 2007 |
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The Fourth "R" Theory of Condensed Matter Group, University of Cambridge, UK. February 2007 |
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Major Halo Mergers: Investigation of Density Profiles BP Institute, UK. February 2005 |
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Major Halo Mergers: Investigation of Density Profiles University of Leicester, UK. September 2004 |
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A primer on Quantum Monte Carlo Calculations for Minimum Energy Structures Weizmann Institute of Science, Israel. December 2010 |
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An ab initio study of the quantum Little-Parks effect Israeli Physical Society Conference. December 2010 |
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Electronic structure calculations with Quantum Monte Carlo Ben Gurion University, Israel. December 2010 |
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The realization of itinerant ferromagnetism in an atomic Fermi gas Mizpe Ramon Scientific Retreat, Israel. October 2010 |
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Perspectives on itinerant ferromagnetism in an atomic Fermi gas Center for Ultracold Atoms, MIT, USA. May 2010 |
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Perspectives on itinerant ferromagnetism in an atomic Fermi gas CIFAR Quantum Materials Program Meeting, Canada. May 2010 |
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Ferromagnetism in an atomic Fermi gas Ben Gurion University, Israel. April 2010 |
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Effect of three-body loss on itinerant ferromagnetism in an atomic Fermi gas APS March meeting, USA. March 2010 |
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A repulsive atomic gas on the border of itinerant ferromagnetism APS March meeting, USA. March 2010 |
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Inhomogeneous phase formation on the border of itinerant ferromagnetism APS March meeting, USA. March 2010 |
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A repulsive atomic gas on the border of itinerant ferromagnetism St Andrews Condensed Matter Physics Group, UK. March 2010 |
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A repulsive atomic gas on the border of itinerant ferromagnetism Newspin 2010, Utrecht University, The Netherlands. January 2010 |
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A repulsive atomic gas on the border of itinerant ferromagnetism Weizmann Institute of Science, Israel. January 2010 |
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New experimental protocols to probe the Stoner transition in a Fermi gas CMMP11, UK. December 2011 |
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Electrons in a spin: the physics of gadgets Cambridge University Physics Society, UK. October 2011 |
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New experimental protocols to probe the Stoner transition in a Fermi gas Quantum Magnetism Conference, Israel. May 2011 |
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The realization of itinerant ferromagnetism in an atomic Fermi gas Durham University, UK. March 2011 |
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More is different for condensed matter physics St Paul's School, London, UK. March 2011 |
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An ab initio study of the Little-Parks effect in ultrathin cylinders London Centre for Nanotechnology, UK. March 2011 |
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An ab initio study of the Little-Parks effect in ultrathin cylinders The Rudolf Peierls Centre for Theoretical Physics, University of Oxford, UK. March 2011 |
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An ab initio study of the Little-Parks effect Theory of Condensed Matter Group, University of Cambridge, UK. March 2011 |
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Ferromagnetism in a few-fermion system The Rudolf Peierls Centre, University of Oxford, UK. November 2012 |
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Ferromagnetism in a few-fermion trap Theory of Condensed Matter Group, University of Cambridge, UK. November 2012 |
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Cold atoms unspun Theory of Condensed Matter Group, University of Cambridge, UK. October 2012 |
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Imprinting magnetic monopoles onto an atomic gas POLATOM Network Conference, UK. September 2012 |
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Imprinting magnetic monopoles onto an atomic gas CMP in the City: Disorder and Magnetism, London, UK. June 2012 |
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Modeling the magnetoresistance of disordered superconducting films CMP in the City: Superconductivity, London, UK. June 2012 |
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Imprinting magnetic monopoles onto an atomic gas University of Cambridge, UK. May 2012 |
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Alloys by design Easter Science School, UK. April 2012 |
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Modelling the magnetoresistance of disordered superconducting films Royal Holloway, University of London, UK. March 2012 |
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Bespoke alloy design: characterization and optimization Royal Society, UK. March 2012 |
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Cold atoms in a spin Maria Waldrast meeting, Austria. March 2012 |
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Alloys by design Caius Sciences Study Day, UK. February 2012 |
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Cold atoms in a spin Theory of Condensed Matter Group, University of Cambridge, UK. February 2012 |
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Alloys by design Royal Commission for the Exhibition of 1851 Science Evening, UK. January 2012 |
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Alloys by design Winning talk at the Institute of Physics "3-minute wonder competition", UK. January 2012 |
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Modelling the magnetoresistance of disordered superconducting films University of York, UK. January 2012 |
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Pseudopotentials reach for the stars Theory of Condensed Matter Group, University of Cambridge, UK. November 2013 |
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Few-atom approach to many-body physics Physics Department, Loughborough University, UK. October 2013 |
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Few-atom approach to many-body physics Department of Physics, University of Warwick, UK. October 2013 |
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Concurrent materials design University College London, UK. September 2013 |
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Concurrent materials design Accelrys Inc., UK. September 2013 |
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Few-atom approach to many-body physics UK-NL Condensed Matter Meeting, Bristol, UK. August 2013 |
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Few-atom approach to many-body physics Dynamics of Complex Quantum Systems Workshop, Windsor, UK. August 2013 |
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Computational design of superalloys QMC versus density functional theory conference, Tuscany, Italy. July 2013 |
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Ferromagnetic spin correlations in a few-fermion system CMP in the City: Magnetism, London, UK. July 2013 |
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Concurrent materials design Granta Design Ltd, UK. July 2013 |
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Accelerated iterative sampling BP compressive sensing symposium, UK. July 2013 |
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Ferromagnetism in a few-fermion atom gas Department of Physics, University of Nottingham, UK. June 2013 |
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Computational design of superalloys Thomas Young Centre, Imperial College London, UK. May 2013 |
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Computational design of superalloys Worshipful Company of Armourers and Brasiers, London, UK. May 2013 |
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Top Trumps: metals & alloys Theory of Condensed Matter Group, University of Cambridge, UK. May 2013 |
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The materials age Easter Science School, UK. April 2013 |
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A few-fermion BCS superconductor Theory of Condensed Matter Group, University of Cambridge, UK. March 2013 |
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The materials age Caius Sciences Study Day, UK. February 2013 |
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The materials age Whitgift School visit, UK. February 2013 |
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Fluctuation-induced pair density wave in itinerant ferromagnets Quantum Matter Group, University of Cambridge, UK. February 2013 |
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Fluctuation-induced phases in itinerant ferromagnets Theory of Condensed Matter Group, University of Cambridge, UK. February 2013 |
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Ultracold atomic gases as quantum simulators Graduate Lecture Series, University of Cambridge, UK. January 2013 |
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p-wave superconductivity in the itinerant ferromagnet School of Physics, Bristol University, UK. November 2014 |
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Course in many-body theory Centre for Doctoral Training in Condensed Matter Physics, Bristol University, UK. November 2014 |
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Breakthroughs in data driven materials design Samsung Advanced Institute of Technology, Republic of Korea. November 2014 |
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Concurrent materials design Surfaces, Microstructure and Fracture Group, University of Cambridge, UK. October 2014 |
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Machine learning in materials design, oil exploration, and beyond Samsung R&D Institute, UK. October 2014 |
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Concurrent materials design Abu Dhabi Investment Authority, UK. September 2014 |
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Pseudizing the Hamiltonian QMC versus density functional theory conference, Tuscany, Italy. July 2014 |
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Concurrent materials design NanoDTC symposium, UK. July 2014 |
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Concurrent materials design School of Engineering, University of Edinburgh, UK. June 2014 |
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Concurrent materials design Department of Chemistry, University College London, UK. June 2014 |
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Concurrent materials design Wright Brothers Institute: Tec^Edge Innovation & Collaboration Center, USA. June 2014 |
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Pseudoψence Theory of Condensed Matter Group, University of Cambridge, UK. May 2014 |
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Pseudoψence Theory of Condensed Matter Group, University of Cambridge, UK. May 2014 |
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Concurrent materials design School of Physical Sciences, University of Kent, UK. May 2014 |
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Concurrent materials design School of Physics and Astronomy, University of Edinburgh, UK. May 2014 |
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DFT design of new materials Samsung GRO launch day, University of Cambridge, UK. April 2014 |
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Concurrent materials design Strategic Analysis, Arlington, USA. February 2014 |
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Concurrent materials design Aberdeen Proving Grounds, Maryland, USA. February 2014 |
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The materials age Caius Sciences Study Day, UK. February 2014 |
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Pseudopotentials reach for the stars Theory of Condensed Matter Group, University of Cambridge, UK. January 2014 |
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DFT modeling research Department of Materials Science & Metallurgy, University of Cambridge, UK. January 2014 |
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Using pseudopotentials to study strongly correlated phases University of Trento, Italy. December 2015 |
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TCM Dragons' Den University of Cambridge, UK. November 2015 |
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Materials discovery with artificial intelligence Lancaster University, UK. November 2015 |
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Materials discovery with artificial intelligence Imperial College London, UK. October 2015 |
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Research plans over the next five years University of Cambridge, UK. October 2015 |
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Pseudoψence University of Cambridge, UK. October 2015 |
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The materials age Gonville & Caius Summer School, UK. July 2015 |
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Taking materials from the lab to industry National Centre for Universities and Business, UK. July 2015 |
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The elemental Gordian knot University of Cambridge, UK. April 2015 |
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The resurrection of pseudoψence Theory of Condensed Matter Group, University of Cambridge, UK. March 2015 |
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Pseudizing the Hamiltonian Quantum Winter School, University of Oxford, UK. March 2015 |
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The materials age Cambridge University Physics Society Access Event, UK. March 2015 |
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A multi-particle superconductor? University of Cambridge, UK. November 2016 |
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Phases of itinerant matter Graduate Lecture Series, University of Cambridge, UK. November 2016 |
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Data validation and imputation with artificial intelligence Lorentz Center, Netherlands. October 2016 |
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How to succeed in the Physical Natural Sciences Gonville & Caius College, UK. September 2016 |
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Materials discovery with artificial intelligence RAMS2016, University of Lancaster, UK. September 2016 |
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Research in Theory of Condensed Matter University of Cambridge, UK. September 2016 |
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The materials age Gonville & Caius Summer School, UK. July 2016 |
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Materials imputation with artificial intelligence Granta Design Ltd, UK. May 2016 |
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Materials discovery with artificial intelligence University of Warwick, UK. May 2016 |
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Using pseudopotentials to study strongly correlated phases University of Oxford, UK. May 2016 |
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Materials discovery with artificial intelligence Today's Data Predicting Tomorrow, Loughborough University, UK. April 2016 |
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Materials discovery with artificial intelligence RAMM2016, Queen Mary University of London, UK. March 2016 |
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Materials discovery with artificial intelligence Cambridge Enterprise, UK. February 2016 |
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Three particle Cooper pair University of Cambridge, UK. January 2016 |
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Materials discovery with artificial intelligence Royal Dutch Shell plc, Amsterdam, Netherlands. December 2017 |
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Multi-particle theory of superconductivity University College London, UK. November 2017 |
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Who needs science to design materials? BenevolentAI Ltd, London, UK. November 2017 |
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Artificial intelligence and cognitive is now Artificial Intelligence and Cognitive Healthcare conference, UK. November 2017 |
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Who needs science to design materials? Surrogate Models and Coarsening Techniques workshop, IPAM, UCLA, USA. November 2017 |
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Modelling to select molecules with optimal properties for lubricant base oils BP-ICAM annual conference, Manchester, UK. October 2017 |
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Drug discovery with artificial intelligence Cambridge, UK. September 2017 |
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Who needs atoms to design materials? From the atom to the molecule, E-CAM workshop, UK. September 2017 |
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Who needs atoms to design materials? National University of Singapore. September 2017 |
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Materials design with artificial intelligence A*STAR Institute of High Performance Computing, Singapore. September 2017 |
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Materials discovery with artificial intelligence Society of Chemical Industry Materials Science Forum. September 2017 |
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Drug discovery with artificial intelligence Cambridge, UK. September 2017 |
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Training deep neural networks on fragmented data London, UK. August 2017 |
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Training deep neural networks on fragmented data University of Cambridge, UK. July 2017 |
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Non-equilibrium magneto-resistance of Au-Ge Spin Orbit Materials Conference, Luxembourg. July 2017 |
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Time dependent resistance of GeAu Condensed Matter in the City, UK. July 2017 |
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Future applications of machine learning Caius Science Networking, UK. June 2017 |
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Special Relativity British Physics Olympiad team, UK. June 2017 |
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Materials design with artificial intelligence Department of Materials, University of Oxford, UK. June 2017 |
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The materials age Gonville & Caius Summer School, UK. June 2017 |
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Materials discovery with artificial intelligence International workshop, University of Manchester, UK. May 2017 |
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Neural networks for drug discovery Dassault Systèmes, UK. May 2017 |
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Multi-particle instability in an imbalanced electron gas DPG Spring Meeting, Dresden, Germany. March 2017 |
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Materials discovery with artificial intelligence DPG Spring Meeting, Dresden, Germany. March 2017 |
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A multi-particle Cooper pair? Seminar at Imperial College London, UK. March 2017 |
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Dragons' Den University of Cambridge, UK. January 2017 |
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Non-equilibrium magneto-resistance of GeAu Frontiers in Condensed Matter Physics, Bristol, UK. January 2017 |
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Materials discovery using deep learning EPFL, Switzerland. December 2018 |
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Wibbles and wobbles of the Coulomb crystal University of Cambridge, UK. October 2018 |
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Materials discovery using deep learning Université Catholique de Louvain, Belgium. September 2018 |
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The modern-day blacksmith Engineering Materials Live, UK. September 2018 |
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Imputation of protein activity data using deep learning Open Data Science Conference Europe, UK. September 2018 |
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Vibrational modes, phonons, and atomic relaxation in Diffusion Monte Carlo ACS National Meeting, USA. August 2018 |
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Imputation of protein activity data using deep learning Takeda, USA. August 2018 |
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Imputation of protein activity data using deep learning ACS National Meeting, USA. August 2018 |
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The modern day blacksmith Legion Ltd, UK. August 2018 |
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Probabilistic neural network design of an alloy for direct laser deposition Nanyang Technological University, Singapore. August 2018 |
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Concurrent materials design with artificial intelligence A*STAR Institute of High Performance Computing, Singapore. July 2018 |
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Deep learning for materials design, drug discovery, and beyond A*STAR, Singapore. July 2018 |
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Deep learning in materials design and drug discovery Barclays AI Frenzy, UK. July 2018 |
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Special Relativity British Physics Olympiad training camp, UK. June 2018 |
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Instability of the Coulomb crystal Theory of Condensed Matter Group, University of Cambridge, UK. June 2018 |
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OPTiMaDe in Cambridge Open Databases Integration for Materials Design workshop, EPFL, Switzerland. June 2018 |
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Learning to commercialize deep learning Workshop on "Commercialisation of software", UK. May 2018 |
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Intellegens: a case study on cognitive healthcare Artificial Intelligence and Cognitive Healthcare conference, UK. April 2018 |
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Materials discovery with artificial intelligence Tata Steel symposium, Netherlands. March 2018 |
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Materials discovery using deep learning Annual research showcase, Cambridge, UK. March 2018 |
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Probabilistic neural network design of an alloy for direct laser deposition DPG Spring Meeting, Berlin, Germany. March 2018 |
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Multi-particle theory of superconductivity DPG Spring Meeting, Berlin, Germany. March 2018 |
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Imputation of protein activity data using deep learning Optibrium "Drug Discovery Consultants' Day", UK. March 2018 |
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Imputation of protein activity data using deep learning Café Synthetique, Cambridge, UK. February 2018 |
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The metals marketplace BenevolentAI Ltd, London, UK. February 2018 |
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Phases of itinerant matter Graduate Lecture Series, University of Cambridge, UK. January 2018 |
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Anharmonic vibrations in the Coulomb crystal Theory of Condensed Matter Group, University of Cambridge, UK. January 2018 |
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Materials validation with artificial intelligence Material Data Management Consortium, Los Angeles, USA. January 2018 |
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Multi-particle instability in a spin-imbalanced Fermi gas Frontiers in Condensed Matter Physics Conference, UK. January 2018 |
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A guide to transformation Panel member at Anglo American Open Forum, UK. December 2019 |
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Deep learning for industrial formulations and materials Invited talk, Boeing, UK. November 2019 |
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The modern-day blacksmith University of Cambridge, UK. November 2019 |
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Phases of itinerant matter Graduate Lecture Series, University of Cambridge, UK. October 2019 |
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Advanced material design using deep learning NSG Group, UK. October 2019 |
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Optimisation of Material Design using Deep Learning Advanced Engineering Show, Birmingham, UK. October 2019 |
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Probabilistic neural network identification of an alloy for direct laser deposition Alloys for Additive Manufacturing Symposium, Sweden. September 2019 |
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Introduction to Intellegens at IDMBAT Granta Design, UK. September 2019 |
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Climbing the greasy pole with machine learning: designing lubricants A*STAR Institute of High Performance Computing, Singapore. September 2019 |
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Panel member Data analytics and what it means to the Materials Community, National Academy of Sciences, USA. July 2019 |
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The modern-day blacksmith Data analytics and what it means to the Materials Community, National Academy of Sciences, USA. July 2019 |
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Advanced material design using deep learning Advanced Materials Show, Telford, UK. July 2019 |
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Special Relativity British and USA Physics Olympiad training camp, UK. July 2019 |
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Tickling the Monte Carlo tail Theory of Condensed Matter Group, University of Cambridge, UK. July 2019 |
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Open Databases Integration for Materials Design CECAM, Lausanne, Switzerland. June 2019 |
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Machine learning for the design of materials, chemicals, and drugs Department for International Trade, UK. June 2019 |
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The modern-day blacksmith Materials Challenges for Future Aerospace, CAMatNet, UK. April 2019 |
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Design of an alloy for direct laser deposition using neural networks Metalysis, UK. March 2019 |
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Deep learning tools to predict failure types from sparse or noisy data Digital Catapult, London, UK. February 2019 |
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The modern-day blacksmith Theory of Condensed Matter Group, University of Cambridge, UK. January 2019 |
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The modern-day blacksmith Commercialising Artificial Intelligence and Emerging Technologies in Higher Education Conference, London, UK. January 2019 |
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Deep learning on sparse data Life Science R&D Data Intelligence Leaders Forum, Switzerland. January 2019 |
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Phases of itinerant matter Graduate Lecture Series, University of Cambridge, UK. January 2019 |
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Back to the Future for machine learning A*STAR Institute of High Performance Computing, Singapore. January 2019 |
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Disrupting the Production Timeline with Digitalisation and Additive Manufacturing CeramicsUK, London, UK. December 2020 |
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Modern day blacksmith: application of machine learning to materials and drug design BML Munjal University, India. November 2020 |
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Commercialisation of Research in Bioinformatics elixir bioinformatics industry forum, London, UK. October 2020 |
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Deploying Cerella™ for Active Learning using Deep Learning Imputation Optibrium, UK. October 2020 |
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Probabilistic neural network identification of an alloy for direct laser deposition International Materials Applications & Technologies, USA. October 2020 |
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Machine learning for battery discovery Aggregate Intellect Science, Canada. October 2020 |
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Machine learning for battery discovery Boeing, USA. October 2020 |
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Machine learning for sparse and noisy data China Railway and Sichuan Provincial Investment Group, China. September 2020 |
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Imputation of assay activity data using deep learning Royal Society of Chemistry AI in Chemistry meeting, UK. September 2020 |
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Alchemite™ Analytics Rolls Royce, Germany. September 2020 |
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Quantum leap for machine learning Knowledge Transfer Network, UK. July 2020 |
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The modern-day blacksmith Institute of Materials, Minerals and Mining, UK. July 2020 |
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Machine learning for sparse data GKN demo day. June 2020 |
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The modern-day alchemist: using machine learning to design lubricants Webinar, BP. June 2020 |
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Open Databases Integration for Materials Design CECAM, Lausanne, Switzerland. June 2020 |
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Imputation of assay activity data using deep learning Kymab seminar. June 2020 |
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Seven examples of how materials & chemicals companies innovate with AI Webinar. May 2020 |
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Machine learning for sparse data ATI-Boeing demo day. April 2020 |
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Imputation of assay activity data using deep learning MilliporeSigma seminar. April 2020 |
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Machine learning for battery discovery LGChem seminar. April 2020 |
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How to accelerate materials and chemicals design with AI Webinar. April 2020 |
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Titanium alloy for a structural heat exchanger ATI-Boeing demo day. March 2020 |
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The modern-day blacksmith Department of Engineering, University of Cambridge, UK. February 2020 |
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Advanced material design using deep learning UK Advanced Materials Research & Investor Showcase, London, UK. February 2020 |
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Challenges & opportunities of adopting AI in materials design Breakfast Briefing, Cambridge, UK. February 2020 |
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Machine learning for materials design National Physics Laboratory, UK. January 2020 |
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Perambulation through random numbers A*STAR Institute of High Performance Computing, Singapore. January 2020 |
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Introduction to Alchemite™ A*STAR Institute of High Performance Computing, Singapore. January 2020 |
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Innovative machine learning for simulations, experiments, and beyond Ansys, USA. December 2021 |
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NATEP – Aerospace innovation for a post-COVID future NATEP, UK. November 2021 |
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The Sparse, Noisy Data Problem In Product Development, Manufacturing, and Beyond Advanced Engineering 2021, UK. November 2021 |
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Machine learning for additive manufacturing - Project MEDAL Advanced Engineering 2021, UK. November 2021 |
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Innovative machine learning for data-driven design of AM materials and processes Materials Intelligence Day, Ansys Granta, UK. November 2021 |
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Alchemite™ focus group Webinar, UK. November 2021 |
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Ontologies for machine learning driven materials design Workshop on Ontologies for Materials-Databases Interoperability, Sweden. October 2021 |
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Intellegens - MEDAL - Machine Learning for AM Experiential Design Algorithm Project Dissemination Video. September 2021 |
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Special Relativity British Physics Olympiad team, UK. July 2021 |
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Solving the 'small data' problem for formulations, materials, and processes Webinar, UK. July 2021 |
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Machine learning: a priori or a posteriori? CECAM, Lausanne, Switzerland. June 2021 |
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The modern day blacksmith Theory of Condensed Matter Group, University of Cambridge, UK. June 2021 |
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Alchemite™ focus group Webinar, UK. June 2021 |
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OPTIMADE in Cambridge CECAM, Lausanne, Switzerland. June 2021 |
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The modern day blacksmith IOM3 Material Informatics Webinar, UK. May 2021 |
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A melting pot for data: machine learning for materials design and beyond Department of Engineering, University of Cambridge, UK. April 2021 |
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Research commercialization in Cambridge Cambridge Phenomenon Program, China. March 2021 |
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Deep learning for additive manufacturing Baker Hughes, USA. March 2021 |
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Innovation through collaboration panel discussion p2i Enterprise Fair, UK. March 2021 |
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Deep learning for materials development and additive manufacturing Webinar, UK. February 2021 |
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The modern day alchemist Gonville & Caius College, UK. February 2021 |
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The modern day blacksmith Theory of Condensed Matter Group, University of Cambridge, UK. January 2021 |
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Intellegens company update Cambridge, UK. December 2022 |
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Alchemite™ focus group Webinar, UK. December 2022 |
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Modern day blacksmith University of Cambridge, UK. October 2022 |
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The modern day blacksmith HPC Autumn Academy, UK. September 2022 |
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インテレジェンズ 応用機械学習 National Institute for Materials Science, Japan. September 2022 |
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インテレジェンズ 応用機械学習 Global Business Innovation Programme, Ambassador's Residence, Japan. August 2022 |
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インテレジェンズ 応用機械学習 Global Business Innovation Programme, Biritsh Embassy, Japan. August 2022 |
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Metamaterials genome: lessons from OPTIMADE MetaMaterial Genome Workshop, Durham, UK. July 2022 |
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Ep 13. Artificial Intelligence and Machine Learning Podcast, Goodfellow, UK. July 2022 |
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New Products in Less Time: Fast Experimentation Through Machine Learning Discovery on Steroids: How AI Will Speed up Innovation, Gottlieb Duttweiler Institute, Switzerland. July 2022 |
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Special Relativity British Physics Olympiad training camp, UK. July 2022 |
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Turning uncertainty into good decisions for chemical, materials, and formulations R&D Webinar, UK. June 2022 |
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Alchemite™ focus group Webinar, UK. June 2022 |
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OPTIMADE Cambridge update CECAM, Lausanne, Switzerland. June 2022 |
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Modelling and AI Design UK Metamaterials Network Conference 2022. May 2022 |
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The modern-day blacksmith Cambridge Graphene Centre, UK. May 2022 |
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Applied machine learning to accelerate development of formulations and chemical processes CHEMUK 2022. May 2022 |
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The modern day blacksmith Scholarship Conference, UK. March 2022 |
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Towards net zero with machine learning: battery and materials development AIUK 2022, UK. March 2022 |
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Machine learning: a priori or a posteriori? Theory of Condensed Matter Group, University of Cambridge, UK. March 2022 |
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The modern-day blacksmith Department of Radiology, Addenbrooke’s Hospital, UK. March 2022 |
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Alchemite™ machine learning Ansys, USA. March 2022 |
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The modern-day blacksmith AI: Facts, Fictions, Futures, Loughborough University, UK. January 2022 |
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The rise of the machine (learning) with Gareth Conduit People doing Physics Podcast, Cavendish Laboratory, UK. November 2023 |
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Alchemite™ User Group Meeting Intellegens, UK. October 2023 |
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Accelerate R&D in materials & chemicals industries, moving up the value chain Cambridge Enterprise, UK. October 2023 |
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Machine learning for data-driven design of materials CICECO – Aveiro Institute of Materials, Portugal. September 2023 |
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Academic life Physics by the Lake, UK. August 2023 |
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Artificial intelligence – a tool for the modern-day blacksmith Physics by the Lake, UK. August 2023 |
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AI applications across disciplines UK. August 2023 |
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Artificial intelligence – a tool for the modern-day blacksmith Royal Society Yusuf Hamied Workshop, India. July 2023 |
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Special relativity British Physics Olympiad training camp, UK. July 2023 |
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Artificial intelligence – a tool for the modern-day blacksmith CICECO – Aveiro Institute of Materials, Portugal. June 2023 |
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Apply Alchemite™ machine learning to academic research Webinar, UK. June 2023 |
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Panel discussion Cam Tech Week, UK. May 2023 |
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Green materials in less time: accelerate discovery with machine learning 4th EMMC International Workshop, Austria. April 2023 |
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The modern-day blacksmith UK Metamaterials Network, UK. April 2023 |
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CALPHAD enhances machine learning for alloy design 2023 TMS Annual Meeting & Exhibition, USA. March 2023 |
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Panel discussion Actively Learning Materials Science, Finland. March 2023 |
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Modern-day blacksmith Actively Learning Materials Science, Finland. March 2023 |
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Computational tidbits Intellegens, UK. February 2023 |
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Unveil the unseen: uncover hidden information with machine learning A*STAR Institute of High Performance Computing, Singapore. January 2023 |
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Machine learning for data-driven design of AM materials and processes Advances in Structural Alloys and Their Manufacturing, Singapore. January 2023 |
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Machine-learning assisted materials discovery 11th International Conference on Multiscale Materials Modeling, Czech Republic. September 2024 |
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Research commercialization in Cambridge Cambridge Phenomenon Program, UK. August 2024 |
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Technological trends and tendencies in the aviation industry vox pop interview with Go Autonomous, Denmark. July 2024 |
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AX Founders Fireside Chat Farnborough International Airshow, UK. July 2024 |
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Special relativity British and German Physics Olympiad training camp, UK. June 2024 |
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Machine learning with OPTIMADE CECAM, Lausanne, Switzerland. June 2024 |
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The modern-day blacksmith Sharpening the UK AI Edge Workshop, UK. May 2024 |
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Unveil the unseen: uncover hidden information with machine learning MCacceL consortium, Austria. May 2024 |
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Panel discussion on Future of Materials Informatics IOM3 Materials Informatics Network: towards a new Technical Community, UK. April 2024 |
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Synthetic alchemy: unleash the power of multimodal machine learning for materials design IOM3 Materials Informatics Network: towards a new Technical Community, UK. April 2024 |
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AI recipes for a digital kitchen Yili Innovation Center Europe, Netherlands. April 2024 |
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Digital transformation and machine learning Webinar, USA. April 2024 |
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Ichnite™ – an introduction Intellegens, UK. March 2024 |
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Introduction to Intellegens RESTORE Sustainable remanufacturing solution, Portugal. January 2024 |