Követés
Sakib Matin
Cím
Hivatkozott rá
Hivatkozott rá
Év
Genetic drift in range expansions is very sensitive to density dependence in dispersal and growth
G Birzu, S Matin, O Hallatschek, KS Korolev
Ecology Letters 22 (11), 1817-1827, 2019
492019
Pinned, locked, pushed, and pulled traveling waves in structured environments
CH Wang, S Matin, AB George, KS Korolev
Theoretical population biology 127, 102-119, 2019
212019
Prediction in a driven-dissipative system displaying a continuous phase transition using machine learning
CK Pun, S Matin, W Klein, H Gould
Physical Review E 101 (2), 022102, 2020
132020
Effective ergodicity breaking phase transition in a driven-dissipative system
S Matin, CK Pun, H Gould, W Klein
Physical Review E 101 (2), 022103, 2020
132020
Universal fluctuations in growth dynamics of economic systems
NC Frey, S Matin, HE Stanley, MA Salinger
Scientific reports 9 (1), 713, 2019
42019
Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to Experiment
S Matin, AEA Allen, J Smith, N Lubbers, RB Jadrich, R Messerly, ...
Journal of Chemical Theory and Computation, 2024
32024
Learning together: Towards foundational models for machine learning interatomic potentials with meta-learning
AEA Allen, N Lubbers, S Matin, J Smith, R Messerly, S Tretiak, K Barros
arXiv preprint arXiv:2307.04012, 2023
32023
Scaling of causal neural avalanches in a neutral model
S Matin, T Tenzin, W Klein
Physical Review Research 3 (1), 013107, 2021
32021
Tensor Sensitivity and long-range Coulomb interactions improve the accuracy and extensibility of Machine Learning Potentials
S Matin, B Han, J Smith, A Allen, N Lubbers, A Habib, N Fedik, X Li, ...
Bulletin of the American Physical Society, 2024
2024
Sunny, a user-friendly Julia package for simulating generalized spin dynamics
K Barros, H Zhang, S Matin, M Wilson, YW Li, D Dahlbom, D Pajerowski, ...
Bulletin of the American Physical Society, 2024
2024
Cluster scaling and critical points: A cautionary tale
W Klein, H Gould, S Matin
Physical Review E 108 (3), 034119, 2023
2023
Active Learning Framework
B Nebgen, J Smith, N Lubbers, K Barros, YW Li, W Li
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023
2023
Modeling Excited-State Dynamics for Polariton Chemistry with Hierarchically Interacting Particle Neural Network
X Li, Y Zhang, S Tretiak, K Barros, N Lubbers, A Allen, B Nebgen, S Matin
APS March Meeting Abstracts 2023, T60. 005, 2023
2023
Sunny, an open source code for simulating generalized spin dynamics
K Barros, D Dahlbom, C Miles, H Zhang, S Matin, M Wilson, YW Li, X Bai, ...
APS March Meeting Abstracts 2023, T62. 003, 2023
2023
Contributing to Sunny open source code
K Barros, S Matin, YW Li, M Wilson
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022
2022
Scaling of avalanches
S Matin
Boston University, 2022
2022
Fitting Hamiltonian Parameters with Bayesian Optimization of Numerical Simulations
M Wilson, YW Li, K Barros, S Matin, C Miles, X Bai, M Mourigal, C Batista
APS March Meeting Abstracts 2022, Z49. 006, 2022
2022
The unreasonable effectiveness of cluster scaling
S Matin, T Tenzin, W Klein, H Gould
APS March Meeting Abstracts 2021, P08. 010, 2021
2021
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