E-LIB Suche - Ergebnisse für: Smidt, Tess E. - Sprache EN

Search for persons X

Sorted by: Relevance

Sorted by: Year

1

A recipe for cracking the quantum scaling limit with machin..:

Rackers, Joshua A ; Tecot, Lucas ; Geiger, Mario.
Machine Learning: Science and Technology. 4 (2023) 1 - p. 015027 , 2023

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

2

E(3)-equivariant graph neural networks for data-efficient a..:

Batzner, Simon ; Musaelian, Albert ; Sun, Lixin...
Nature Communications. 13 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

3

Anisotropic 2D excitons unveiled in organic–inorganic quant..:

Maserati, Lorenzo ; Refaely-Abramson, Sivan ; Kastl, Christoph...
Materials Horizons. 8 (2021) 1 - p. 197-208 , 2021

Link: https://doi.org/10.1039/..

4

Finding symmetry breaking order parameters with Euclidean n..:

Smidt, Tess E. ; Geiger, Mario ; Miller, Benjamin Kurt
Physical Review Research. 3 (2021) 1 - p. , 2021

Link: https://doi.org/10.1103/..

5

An automatically curated first-principles database of ferro..:

Smidt, Tess E. ; Mack, Stephanie A. ; Reyes-Lillo, Sebastian E...
Scientific Data. 7 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

6

Discovering Symmetry Breaking in Physical Systems with Rela..:

Wang, Rui ; Gao, Han ; Walters, Robin.
http://arxiv.org/abs/2310.02299. , 2023

Link: http://arxiv.org/abs/231..

7

E(3)-equivariant graph neural networks for data-efficient a..:

Batzner, Simon ; Musaelian, Albert ; Sun, Lixin...
qt350567s7. , 2022

Link: https://escholarship.org..

8

E(3)-equivariant graph neural networks for data-efficient a..:

Batzner, Simon ; Musaelian, Albert ; Sun, Lixin...
10.1038/s41467-022-29939-5. , 2022

Link: https://hdl.handle.net/1..

9

Cracking the Quantum Scaling Limit with Machine Learned Ele..:

Rackers, Joshua A ; Tecot, Lucas ; Geiger, Mario.
http://arxiv.org/abs/2201.03726. , 2022

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

10

E(3)-equivariant graph neural networks for data-efficient a..:

Batzner, Simon ; Musaelian, Albert ; Sun, Lixin...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9068614/. , 2022

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

11

Anisotropic 2D excitons unveiled in organic–inorganic quant..:

Maserati, Lorenzo ; Refaely-Abramson, Sivan ; Kastl, Christoph...
qt1kv4x0jw. , 2021

Link: https://escholarship.org..

12

E(3)-Equivariant Graph Neural Networks for Data-Efficient a..:

Batzner, Simon ; Musaelian, Albert ; Sun, Lixin...
http://arxiv.org/abs/2101.03164. , 2021

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

13

Finding symmetry breaking order parameters with Euclidean n..:

Smidt, Tess E ; Geiger, Mario ; Miller, Benjamin Kurt
https://refubium.fu-berlin.de/handle/fub188/29933. , 2021

Link: https://refubium.fu-berl..

14

Euclidean Symmetry and Equivariance in Machine Learning:

Smidt, Tess E
qt7q29x3qh. , 2021

Link: https://escholarship.org..

15

Finding Symmetry Breaking Order Parameters with Euclidean N..:

Smidt, Tess E ; Geiger, Mario ; Miller, Benjamin Kurt
http://arxiv.org/abs/2007.02005. , 2020

Link: http://arxiv.org/abs/200..

1-15