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The Journal of Physical Chemistry. B|July 26, 2024
Vibrational Energy Landscapes and Energy Flow in GPCRsHumanath Poudel, David J Wales, David M LeitnerBMJ Open Respiratory Research|February 14, 2018
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trialDavid W Shimabukuro, Christopher W Barton, Mitchell D Feldman, et al.Journal of the American Medical Informatics Association : JAMIA|March 31, 2016
Discharge recommendation based on a novel technique of homeostatic analysisJacob S Calvert, Daniel A Price, Christopher W Barton, et al.BMJ Open Diabetes Research & Care|January 20, 2022
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitusAngier Allen, Zohora Iqbal, Abigail Green-Saxena, et al.Journal of Critical Care|August 11, 2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)Sidney Le, Emily Pellegrini, Abigail Green-Saxena, et al.The Journal of Physical Chemistry. B|August 27, 2011
Energy landscape and global optimization for a frustrated model proteinMark T Oakley, David J Wales, Roy L JohnstonNanoscale|October 8, 2011
Energy landscapes of colloidal clusters: thermodynamics and rearrangement mechanismsFlorent Calvo, Jonathan P K Doye, David J WalesJournal of Chemical Theory and Computation|November 24, 2015
Exploring Energy Landscapes: Metrics, Pathways, and Normal-Mode Analysis for Rigid-Body MoleculesVictor Rühle, Halim Kusumaatmaja, Dwaipayan Chakrabarti, et al.The Journal of Chemical Physics|August 8, 2023
Exploring energy landscapes for solid-state systems with variable cells at the extended tight-binding levelPhilipp Pracht, John W R Morgan, David J WalesPhysical Chemistry Chemical Physics : PCCP|May 14, 2026
Comparison of predictive approaches to the dynamics of activated catalytic processesGiorgio Conter, Thantip Roongcharoen, David J Wales, et al.Pageof 30