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Martin Šípka
Martin Šípka
Phd from Charles Univeristy, research stay at MIT currently at Amazon
Verified email at mit.edu
Title
Cited by
Cited by
Year
Constructing Collective Variables Using Invariant Learned Representations
M Šípka, A Erlebach, L Grajciar
Journal of Chemical Theory and Computation 19 (3), 887-901, 2023
192023
A reactive neural network framework for water-loaded acidic zeolites
A Erlebach, M Šípka, I Saha, P Nachtigall, CJ Heard, L Grajciar
Nature Communications 15 (1), 4215, 2024
172024
Learning physics from data: a thermodynamic interpretation
F Chinesta, E Cueto, M Grmela, B Moya, M Pavelka, M Šípka
Workshop on Joint Structures and Common Foundations of Statistical Physics …, 2020
112020
Differentiable Simulations for Enhanced Sampling of Rare Events
M Sipka, JCB Dietschreit, L Grajciar, R Gómez-Bombarelli
International Conference on Machine Learning, 31990-32007, 2023
8*2023
On compatibility of the natural configuration framework with general equation for non-equilibrium reversible–irreversible coupling (GENERIC): Derivation of anisotropic rate …
P Pelech, K Tůma, M Pavelka, M Šípka, M Sýkora
Journal of Non-Newtonian Fluid Mechanics 305, 104808, 2022
8*2022
Direct Poisson neural networks: learning non-symplectic mechanical systems
M Šípka, P Michal, E Oğul, G Miroslav
Journal of Physics A: Mathematical and Theoretical 56 (49), 2023
52023
Lack-of-fit reduction in non-equilibrium thermodynamics applied to the Kac–Zwanzig model
K Mladá, M Šípka, M Pavelka
Journal of Non-Equilibrium Thermodynamics 49 (2), 181-194, 2024
22024
Learning the GENERIC evolution
M Šípka, M Pavelka
arXiv preprint arXiv:2109.12659, 2021
22021
Modeling of anisotropic viscoelastic fluids
M Šípka
Univerzita Karlova, Matematicko-fyzikální fakulta, 2020
12020
Machine learning through geometric mechanics and thermodynamics
M Šípka
Univerzita Karlova, Matematicko-fyzikální fakulta, 2024
2024
Journal of non-equilibrium thermodynamics: Lack-of-fit reduction in non-equilibrium thermodynamics applied to the Kac–Zwanzig model
K Mladá, M Šípka, M Pavelka
de Gruyter, 2024
2024
Optimizing probability of barrier crossing with differentiable simulators
M Sipka, JCB Dietschreit, M Pavelka, L Grajciar, R Gomez-Bombarelli
ICML 2023 Workshop on Differentiable Almost Everything: Differentiable …, 0
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