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Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements
High-fidelity electron microscopy simulations required for quantitative crystal structure refinements face a fundamental challenge: …
Shreshth A Malik, Tiarnan A.S. Doherty, Benjamin Colmey, Stephen J. Roberts, Yarin Gal, Paul A. Midgley
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Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science
Automated planetary transit detection has become vital to identify and prioritize candidates for expert analysis and verification given …
Shreshth A Malik, Nora L. Eisner, Ian R. Mason, Sofia Platymesi, Suzanne Aigrain, Stephen J. Roberts, Yarin Gal, Chris J. Lintott
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Predicting the Outcomes of Material Syntheses with Deep Learning
A key bottleneck for material discovery is synthesis. While significant advances have been made in computational material design, …
Shreshth A Malik, Rhys EA Goodall, Alpha A Lee
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