Particle production and equilibrium properties within a new hadron transport approach for heavy-ion collisions J Weil, V Steinberg, J Staudenmaier, LG Pang, D Oliinychenko, J Mohs, ... Physical Review C 94 (5), 054905, 2016 | 337 | 2016 |
PySINDy: A comprehensive Python package for robust sparse system identification AA Kaptanoglu, BM de Silva, U Fasel, K Kaheman, AJ Goldschmidt, ... Journal of Open Source Software 7 (69), 3994, 2021 | 121 | 2021 |
Collision geometry and flow in uranium+ uranium collisions A Goldschmidt, Z Qiu, C Shen, U Heinz Physical Review C 92 (4), 044903, 2015 | 51 | 2015 |
Bilinear dynamic mode decomposition for quantum control A Goldschmidt, E Kaiser, JL Dubois, SL Brunton, JN Kutz New Journal of Physics 23 (3), 033035, 2021 | 25 | 2021 |
Model predictive control for robust quantum state preparation AJ Goldschmidt, JL DuBois, SL Brunton, JN Kutz Quantum 6, 837, 2022 | 11 | 2022 |
Quantifying yeast colony morphologies with feature engineering from time-lapse photography A Goldschmidt, J Kunert-Graf, AC Scott, Z Tan, AM Dudley, JN Kutz Scientific Data 9 (1), 216, 2022 | 4 | 2022 |
Designing Crosstalk Robust Gate Sets using Optimal Control A Goldschmidt, G Quiroz, V Zhou, F Chong Bulletin of the American Physical Society, 2024 | | 2024 |
Automatic pulse-level calibration by tracking observables using iterative learning AJ Goldschmidt, FT Chong arXiv preprint arXiv:2304.12166, 2023 | | 2023 |
Data-driven modeling and control of quantum dynamics AJ Goldschmidt University of Washington, 2022 | | 2022 |