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Sakib Matin

Showing results (1-10 of 10) with videos related to

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Physical Review. E|October 18, 2023
Cluster scaling and critical points: A cautionary taleW Klein, Harvey Gould, Sakib Matin
Physical Review. E|March 15, 2020
Prediction in a driven-dissipative system displaying a continuous phase transition using machine learningChon-Kit Pun, Sakib Matin, W Klein, et al.
Ecology Letters|September 10, 2019
Genetic drift in range expansions is very sensitive to density dependence in dispersal and growthGabriel Birzu, Sakib Matin, Oskar Hallatschek, et al.
Physical Review. E|March 15, 2020
Effective ergodicity breaking phase transition in a driven-dissipative systemSakib Matin, Chon-Kit Pun, Harvey Gould, et al.
Scientific Reports|January 26, 2019
Universal fluctuations in growth dynamics of economic systemsNathan C Frey, Sakib Matin, H Eugene Stanley, et al.
Theoretical Population Biology|April 15, 2019
Pinned, locked, pushed, and pulled traveling waves in structured environmentsChing-Hao Wang, Sakib Matin, Ashish B George, et al.
The Journal of Chemical Physics|April 28, 2026
Knowledge distillation of noisy force labels for improved coarse-grained force fieldsFeranmi V Olowookere, Sakib Matin, Aleksandra Pachalieva, et al.
Journal of Chemical Theory and Computation|November 23, 2024
Thermodynamic Transferability in Coarse-Grained Force Fields Using Graph Neural NetworksEmily Shinkle, Aleksandra Pachalieva, Riti Bahl, et al.
Journal of Chemical Information and Modeling|January 28, 2025
Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data AugmentationLuan G F Dos Santos, Benjamin T Nebgen, Alice E A Allen, et al.
Journal of Chemical Theory and Computation|February 2, 2024
Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to ExperimentSakib Matin, Alice E A Allen, Justin Smith, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Physical Review. E|October 18, 2023
Cluster scaling and critical points: A cautionary taleW Klein, Harvey Gould, Sakib Matin
Physical Review. E|March 15, 2020
Prediction in a driven-dissipative system displaying a continuous phase transition using machine learningChon-Kit Pun, Sakib Matin, W Klein, et al.
Ecology Letters|September 10, 2019
Genetic drift in range expansions is very sensitive to density dependence in dispersal and growthGabriel Birzu, Sakib Matin, Oskar Hallatschek, et al.
Physical Review. E|March 15, 2020
Effective ergodicity breaking phase transition in a driven-dissipative systemSakib Matin, Chon-Kit Pun, Harvey Gould, et al.
Scientific Reports|January 26, 2019
Universal fluctuations in growth dynamics of economic systemsNathan C Frey, Sakib Matin, H Eugene Stanley, et al.
Theoretical Population Biology|April 15, 2019
Pinned, locked, pushed, and pulled traveling waves in structured environmentsChing-Hao Wang, Sakib Matin, Ashish B George, et al.
The Journal of Chemical Physics|April 28, 2026
Knowledge distillation of noisy force labels for improved coarse-grained force fieldsFeranmi V Olowookere, Sakib Matin, Aleksandra Pachalieva, et al.
Journal of Chemical Theory and Computation|November 23, 2024
Thermodynamic Transferability in Coarse-Grained Force Fields Using Graph Neural NetworksEmily Shinkle, Aleksandra Pachalieva, Riti Bahl, et al.
Journal of Chemical Information and Modeling|January 28, 2025
Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data AugmentationLuan G F Dos Santos, Benjamin T Nebgen, Alice E A Allen, et al.
Journal of Chemical Theory and Computation|February 2, 2024
Machine Learning Potentials with the Iterative Boltzmann Inversion: Training to ExperimentSakib Matin, Alice E A Allen, Justin Smith, et al.
Pageof 1