| [Office of Basic Energy Sciences (BES)] Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning D Ratner, B Sumpter, F Alexander, JJ Billings, R Coffee, S Cousineau, ... DOESC Office of Basic Energy Sciences, 2019 | 2 | 2019 |
| & Lee, S.(2019) N Baker, F Alexander, T Bremer, A Hagberg, Y Kevrekidis, H Najm Workshop report on basic research needs for scientific machine learning …, 0 | 7 | |
| 328 J. Sethian, S. Wild, K. Willcox, and S. Lee,“ N Baker, F Alexander, T Bremer, A Hagberg, Y Kevrekidis, H Najm, ... Workshop Report on Basic Research Needs for 329, 1, 0 | 27 | |
| A consistent Boltzmann algorithm FJ Alexander, AL Garcia, BJ Alder Physical Review Letters 74 (26), 5212, 1995 | 163 | 1995 |
| A Control Variate Approach for Improving Efficiency of Ensemble Monte Carlo T Borogovac, FJ Alexander, P Vakili arXiv preprint arXiv:0809.3187, 2008 | | 2008 |
| A mean field approximation in data assimilation for nonlinear dynamics GL Eyink, JM Restrepo, FJ Alexander Physica D: Nonlinear Phenomena 195 (3-4), 347-368, 2004 | 59 | 2004 |
| A multifaceted mathematical approach for complex systems F Alexander | 5 | 2012 |
| A particle method with adjustable transport properties—the generalized consistent Boltzmann algorithm AL Garcia, FJ Alexander, BJ Alder Journal of statistical physics 89, 403-409, 1997 | 23 | 1997 |
| A perspective on materials informatics: state-of-the-art and challenges T Lookman, PV Balachandran, D Xue, G Pilania, T Shearman, J Theiler, ... Information science for materials discovery and design, 3-12, 2016 | 25 | 2016 |
| A rigorous uncertainty-aware quantification framework is essential for reproducible and replicable machine learning workflows L Pouchard, KG Reyes, FJ Alexander, BJ Yoon Digital Discovery 2 (5), 1251-1258, 2023 | 4 | 2023 |
| A Study of Two-Temperature Non-Equilibrium Ising Models: Critical Behavior and Universality P Tamayo, FJ Alexander, R Gupta arXiv preprint cond-mat/9407046, 1994 | 1 | 1994 |
| Accelerated Monte Carlo for optimal estimation of time series FJ Alexander, GL Eyink, JM Restrepo Journal of Statistical Physics 119, 1331-1345, 2005 | 65 | 2005 |
| Accelerating scientific discoveries through data-driven innovations FJ Alexander, M Lin, X Qian, BJ Yoon Patterns 4 (11), 2023 | | 2023 |
| Adaptive group testing with mismatched models M Fan, BJ Yoon, FJ Alexander, ER Dougherty, X Qian ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
| Adaptive mesh refinement for multiscale nonequilibrium physics DF Martin, P Colella, M Anghel, FJ Alexander Computing in science & engineering 7 (3), 24-31, 2005 | 32 | 2005 |
| AI for Optimal Experimental Design and Decision-Making FJ Alexander, KR Reyes, LR Varshney, BJ Yoon Artificial Intelligence for Science: A Deep Learning Revolution, 609-625, 2023 | 1 | 2023 |
| Alexander, FJ, H. Chen, S. Chen, and GD Doolen. A lattice-Boltzmann FJ Alexander, I Edrei, PL Garrido, JL Lebowitz Journal of Statistical Physics 68 (3/4), 1992 | | 1992 |
| Algorithm refinement for stochastic partial differential equations: I. Linear diffusion FJ Alexander, AL Garcia, DM Tartakovsky Journal of Computational Physics 182 (1), 47-66, 2002 | 83 | 2002 |
| Algorithm refinement for stochastic partial differential equations: II. Correlated systems FJ Alexander, AL Garcia, DM Tartakovsky Journal of Computational Physics 207 (2), 769-787, 2005 | 42 | 2005 |
| An Early Quantum Computing Proposal SR Lee, FJ Alexander, KM Barros, MG Daniels, JR Gattiker, MS Hamada, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016 | | 2016 |
Alejandro L GarciaProfessor of Physics, San Jose State University在 sjsu.edu 的电子邮件经过验证
