| Efficiency of generalized regular k-point grids WS Morgan, JJ Jorgensen, BC Hess, GLW Hart Computational Materials Science 153, 424-430, 2018 | 56 | 2018 |
| "Pressure Oscillations in a Chemical Garden", J Pantaleone, A Toth, D Horvath, L RoseFigura, W Morgan, ... Physical Review E 79 (5), 056221-056229, 2009 | 46 | 2009 |
| Precipitation pattern formation in the copper (II) oxalate system with gravity flow and axial symmetry A Baker, Á Tóth, D Horváth, J Walkush, AS Ali, W Morgan, A Kukovecz, ... The Journal of Physical Chemistry A 113 (29), 8243-8248, 2009 | 31 | 2009 |
| Generating derivative superstructures for systems with high configurational freedom WS Morgan, GLW Hart, RW Forcade Computational Materials Science 136, 144-149, 2017 | 30 | 2017 |
| Generalized regular k-point grid generation on the fly WS Morgan, JE Christensen, PK Hamilton, JJ Jorgensen, BJ Campbell, ... Computational Materials Science 173, 109340, 2020 | 19 | 2020 |
| A robust algorithm for k-point grid generation and symmetry reduction GLW Hart, JJ Jorgensen, WS Morgan, RW Forcade Journal of Physics Communications 3 (6), 065009, 2019 | 19 | 2019 |
| Development and validation of a postprocedural model to predict outcome after endovascular treatment for ischemic stroke V Chalos, E Venema, MJHL Mulder, B Roozenbeek, EW Steyerberg, ... JAMA neurology 80 (9), 940-948, 2023 | 14 | 2023 |
| Numerical algorithm for pólya enumeration theorem CW Rosenbrock, WS Morgan, GLW Hart, S Curtarolo, RW Forcade Journal of Experimental Algorithmics (JEA) 21, 1-17, 2016 | 3 | 2016 |
| Using Symmetry to Accelerate Materials Discovery WS Morgan Brigham Young University, 2019 | | 2019 |
| Using machine learning interatomic potentials for finding CoNiTi ternaries CA Leon Chinchay, W Morgan, G Hart APS March Meeting Abstracts 2019, X19. 004, 2019 | | 2019 |
| Metals: Automatic k-point generation for a 60% speed-up of total energy calculations G Hart, W Morgan, J Jorgensen, R Forcade APS March Meeting Abstracts 2019, V18. 007, 2019 | | 2019 |
| Keeping Squares Square J Christensen, G Hart, W Morgan, R Forcade Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Study of CoNiTi alloys using MTP machine C Leon, W Morgan, G Hart Bulletin of the American Physical Society 63, 2018 | | 2018 |
| Materials prediction using machine learning: comparing MBTR, MTP and deep learning C Nyshadham, W Morgan, B Bekker, G Hart APS March Meeting Abstracts 2018, E34. 011, 2018 | | 2018 |
| Generating Generalized K-point Grids on the fly W Morgan, P Hamilton, J Christensen, R Forcade, G Hart, WM Team APS March Meeting Abstracts 2018, P02. 009, 2018 | | 2018 |
| Why do calculations of metals converge so slowly? G Hart, J Jorgensen, W Morgan, H Oliver, P Hamilton Bulletin of the American Physical Society 62, 2017 | | 2017 |
| Making materials prediction faster: Choosing integration grids to leverage symmetry P Hamilton, G Hart, W Morgan, R Forcade Bulletin of the American Physical Society 62, 2017 | | 2017 |
| Using Machine Learning to Improve Cluster Expansion Predictions W Morgan, K Francis, G Hart APS March Meeting Abstracts 2017, A1. 004, 2017 | | 2017 |
| Increasing the Computational Efficiency of Combinatoric Searches WS Morgan Brigham Young University, 2016 | | 2016 |
| Displacement Pattern Enumeration for Phonon Modeling W Morgan, R Forcade, G Hart Bulletin of the American Physical Society 60, 2015 | | 2015 |
Gus L. W. HartBrigham Young University, Physics and Astronomyبريد إلكتروني تم التحقق منه على byu.edu
