E-LIB Suche - Ergebnisse für: Šípka, Martin

1

A reactive neural network framework for water-loaded acidic..:

Erlebach, Andreas ; Šípka, Martin ; Saha, Indranil...
Nature Communications. 15 (2024) 1 - p. , 2024

2

Direct Poisson neural networks: learning non-symplectic mec..:

Šípka, Martin ; Pavelka, Michal ; Esen, Oğul.
Journal of Physics A: Mathematical and Theoretical. 56 (2023) 49 - p. 495201 , 2023

Link: https://doi.org/10.1088/..

3

Constructing Collective Variables Using Invariant Learned R..:

Šípka, Martin ; Erlebach, Andreas ; Grajciar, Lukáš
Journal of Chemical Theory and Computation. 19 (2023) 3 - p. 887-901 , 2023

Link: https://doi.org/10.1021/..

4

Learning Physics from Data: A Thermodynamic Interpretation:

, In: Springer Proceedings in Mathematics & Statistics; Geometric Structures of Statistical Physics, Information Geometry, and Learning,

Chinesta, Francisco ; Cueto, Elías ; Grmela, Miroslav... - p. 276-297 , 2021

Link: https://doi.org/10.1007/..

5

A reactive neural network framework for water-loaded acidic..:

Erlebach, Andreas ; Šípka, Martin ; Saha, Indranil...
http://arxiv.org/abs/2307.00911. , 2023

Link: http://arxiv.org/abs/230..

6

Supplementary data (CC BY 4.0): A reactive neural network f..:

Erlebach, Andreas ; Šípka, Martin ; Saha, Indranil...
arxiv:arXiv:2307.00911. , 2023

Link: https://zenodo.org/recor..

7

Direct Poisson neural networks: Learning non-symplectic mec..:

Šípka, Martin ; Pavelka, Michal ; Esen, Oğul.
http://arxiv.org/abs/2305.05540. , 2023

Link: http://arxiv.org/abs/230..

8

Direct Poisson neural networks: learning non-symplectic mec..:

Šípka, Martin ; Pavelka, Michal ; Esen, Oğul.
https://publications.polymtl.ca/56705/1/2023_Sipka_Direct_poisson_neural_networks_learning.pdf. , 2023

Link: https://publications.pol..

9

Constructing Collective Variables Using Invariant Learned R..:

Šípka, Martin ; Erlebach, Andreas ; Grajciar, Lukáš
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940718/. , 2023

Link: http://www.ncbi.nlm.nih...

10

Differentiable Simulations for Enhanced Sampling of Rare Ev..:

Šípka, Martin ; Dietschreit, Johannes C. B ; Grajciar, Lukáš.
http://arxiv.org/abs/2301.03480. , 2023

Link: http://arxiv.org/abs/230..

11

Understanding chemical reactions via variational autoencode..:

Šípka, Martin ; Erlebach, Andreas ; Grajciar, Lukáš
http://arxiv.org/abs/2203.08097. , 2022

Link: http://arxiv.org/abs/220..

12

Learning the GENERIC evolution:

Šípka, Martin ; Pavelka, Michal
http://arxiv.org/abs/2109.12659. , 2021

Link: http://arxiv.org/abs/210..

13

On compatibility of the natural configuration framework wit..:

Pelech, Petr ; Tůma, Karel ; Pavelka, Michal..
ISSN:2198-5855. , 2021

Link: https://oa.tib.eu/renate..

14

On compatibility of the natural configuration framework wit..:

Pelech, Petr ; Tůma, Karel ; Pavelka, Michal..
https://doi.org/10.20347/WIAS.PREPRINT.2856. , 2021

Link: https://doi.org/10.20347..

15

On compatibility of the Natural configuration framework wit..:

Pelech, Petr ; Tuma, Karel ; Pavelka, Michal..
http://arxiv.org/abs/2010.06903. , 2020

Link: http://arxiv.org/abs/201..