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Alpha A. Lee
Researcher at University of Cambridge
Publications - 115
Citations - 4109
Alpha A. Lee is an academic researcher from University of Cambridge. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 26, co-authored 107 publications receiving 2671 citations. Previous affiliations of Alpha A. Lee include Imperial College London & Harvard University.
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Journal ArticleDOI
The Electrostatic Screening Length in Concentrated Electrolytes Increases with Concentration.
TL;DR: It is revealed, using experimental detection of the interaction between two planar charged surfaces across a wide range of electrolytes, that beyond the dilute (Debye-Hückel) regime the screening length increases with increasing concentration.
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Molecular Transformer: A Model for Uncertainty-Calibrated Chemical Reaction Prediction.
Philippe Schwaller,Philippe Schwaller,Teodoro Laino,Théophile Gaudin,Peter Bolgar,Christopher A. Hunter,Costas Bekas,Alpha A. Lee +7 more
TL;DR: This work shows that a multihead attention Molecular Transformer model outperforms all algorithms in the literature, achieving a top-1 accuracy above 90% on a common benchmark data set and is able to handle inputs without a reactant–reagent split and including stereochemistry, which makes the method universally applicable.
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Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning
TL;DR: An accurate battery forecasting system by combining electrochemical impedance spectroscopy (EIS)—a real-time, non-invasive and information-rich measurement that is hitherto underused in battery diagnosis—with Gaussian process machine learning is built.
Journal ArticleDOI
Long range electrostatic forces in ionic liquids
Matthew A. Gebbie,Alexander M. Smith,Howard A. Dobbs,Alpha A. Lee,Gregory G. Warr,Xavier Banquy,Markus Valtiner,Mark W. Rutland,Jacob N. Israelachvili,Susan Perkin,Rob Atkin +10 more
TL;DR: The evidence for long range surface forces in ionic liquids is examined, key outstanding questions are identified, and possible mechanisms underlying the origin of these long range forces are explored.
Journal ArticleDOI
Scaling Analysis of the Screening Length in Concentrated Electrolytes.
TL;DR: A simple scaling theory is derived that explains this anomalous dependence of the decay length on the ion concentration for concentrated electrolytes and can be an order of magnitude larger than the ion diameter in ionic liquids.