Risultati della ricerca - Edward O Pyzer-Knapp

Explainable Gaussian processes: a loss landscape perspective di Maximilian P Niroomand, Luke Dicks, Edward O Pyzer-Knapp, David J Wales

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Hessian QM9: A quantum chemistry database of molecular Hessians in implicit solvents di Nicholas J. Williams, Lara Kabalan, Ljiljana Stojanovic, Viktor Zólyomi, Edward O. Pyzer-Knapp

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Bayesian Optimization for Field-Scale Geological Carbon Storage di Xueying Lu, Kirk E. Jordan, Mary F. Wheeler, Edward O. Pyzer-Knapp, Matthew Benatan

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Global properties of the energy landscape: a testing and training arena for machine learned potentials di Vlad Cărare, Fabian L. Thiemann, Joe D. Morrow, David J. Wales, Edward O. Pyzer-Knapp, Luke Dicks

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Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease. di Laura-Jayne Gardiner, Anna Paola Carrieri, Karen Bingham, Graeme Macluskie, David Bunton, Marian McNeil, Edward O Pyzer-Knapp

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Foundation models for materials discovery – current state and future directions di Edward O. Pyzer-Knapp, Matteo Manica, Peter Staar, Lucas Morin, Patrick Ruch, Teodoro Laino, John R. Smith, Alessandro Curioni

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DGCNN approach links metagenome-derived taxon and functional information providing insight into global soil organic carbon di Laura-Jayne Gardiner, Matthew Marshall, Katharina Reusch, Chris Dearden, Mark Birmingham, Anna Paola Carrieri, Edward O. Pyzer-Knapp, Ritesh Krishna, Andrew L. Neal

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Accelerating materials discovery using artificial intelligence, high performance computing and robotics di Edward O. Pyzer-Knapp, Jed W. Pitera, Peter W. J. Staar, Seiji Takeda, Teodoro Laino, Daniel P. Sanders, James Sexton, John R. Smith, Alessandro Curioni

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