Jack Wetherell
Jack Wetherell
Postdoctoral Research Associate with Disney Research at Walt Disney Imagineering
Verified email at - Homepage
Cited by
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Accuracy of electron densities obtained via Koopmans-compliant hybrid functionals
AR Elmaslmane, J Wetherell, MJP Hodgson, KP McKenna, RW Godby
Physical Review Materials (Rapid Communications) 2 (4), 040801(R), 2018
Local density approximations from finite systems
MT Entwistle, MJP Hodgson, J Wetherell, B Longstaff, JD Ramsden, ...
Physical Review B 94 (20), 205134, 2016
Machine learning the derivative discontinuity of density-functional theory
J Gedeon, J Schmidt, MJP Hodgson, J Wetherell, CL Benavides-Riveros, ...
Machine Learning: Science and Technology 3 (1), 015011, 2021
Advantageous nearsightedness of many-body perturbation theory contrasted with Kohn-Sham density functional theory
J Wetherell, M Hodgson, L Talirz, R Godby
Physical Review B 99, 045129, 2019
GW self-screening error and its correction using a local density functional
J Wetherell, M Hodgson, R Godby
Physical Review B (Rapid Communications) 97 (12), 121102(R), 2018
Insights into one-body density matrices using deep learning
J Wetherell, A Costamagna, M Gatti, L Reining
Faraday Discussions 224, 265-291, 2020
Exact exchange-correlation potentials for calculating the fundamental gap with a fixed number of electrons
MJP Hodgson, J Wetherell, E Fromager
Physical Review A 103 (1), 012806, 2021
Challenges for large scale simulation
JG Brandenburg, K Burke, B Civalleri, DJ Cole, G Csányi, G David, ...
The Royal Society of Chemistry, 2020
Accurate real-time evolution of electron densities and ground-state properties from generalized Kohn-Sham theory
MJP Hodgson, J Wetherell
Physical Review A 101 (3), 032502, 2020
New approaches to study excited states in density functional theory
JG Brandenburg, K Burke, E Fromager, M Gatti, S Giarrusso, ...
The Royal Society of Chemistry, 2020
Electron correlation and screening in model nanostructures
J Wetherell
University of York, 2019
Deriving Environmental Risk Profiles for Autonomous Vehicles from Simulated Trips
J Anih, S Kolekar, T Dargahi, M Babaie, M Saraee, J Wetherell
IEEE Access, 2023
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