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Fiedler, Lenz
54  Ergebnisse:
Personensuche X
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1

Machine-Learning for Static and Dynamic Electronic Structur..:

, In: Challenges and Advances in Computational Chemistry and Physics; Machine Learning in Molecular Sciences,
Fiedler, Lenz ; Shah, Karan ; Cangi, Attila - p. 113-160 , 2023
Link: https://doi.org/10.1007/..
 
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2

Predicting electronic structures at any length scale with m..:

Fiedler, Lenz ; Modine, Normand A. ; Schmerler, Steve...
npj Computational Materials.  9 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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3

Accelerating equilibration in first-principles molecular dy..:

Fiedler, Lenz ; Moldabekov, Zhandos A. ; Shao, Xuecheng...
Physical Review Research.  4 (2022)  4 - p. , 2022
Link: https://doi.org/10.1103/..
 
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4

Training-free hyperparameter optimization of neural network..:

Fiedler, Lenz ; Hoffmann, Nils ; Mohammed, Parvez...
Machine Learning: Science and Technology.  3 (2022)  4 - p. 045008 , 2022
Link: https://doi.org/10.1088/..
 
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5

PyFLOSIC: Python-based Fermi–Löwdin orbital self-interactio..:

Schwalbe, Sebastian ; Fiedler, Lenz ; Kraus, Jakob...
The Journal of Chemical Physics.  153 (2020)  8 - p. , 2020
Link: https://doi.org/10.1063/..
 
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Interpretation and Automatic Generation of Fermi‐Orbital De..:

Schwalbe, Sebastian ; Trepte, Kai ; Fiedler, Lenz...
Journal of Computational Chemistry.  40 (2019)  32 - p. 2843-2857 , 2019
Link: https://doi.org/10.1002/..
 
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7

Retrained Models and Scripts for Aluminum at 298K and 933K:

Fiedler, Lenz ; Cangi, Attila
url:https://www.hzdr.de/publications/Publ-38719.  , 2024
Link: https://rodare.hzdr.de/r..
 
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Retrained Models and Scripts for Aluminum at 298K and 933K:

Fiedler, Lenz ; Cangi, Attila
url:https://www.hzdr.de/publications/Publ-38719.  , 2024
Link: https://rodare.hzdr.de/r..
 
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9

Machine learning the electronic structure of matter across ..:

Fiedler, Lenz ; Modine, Normand A ; Miller, Kyle D.
http://arxiv.org/abs/2306.06032.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

MALA:

Brzoza, Bartosz ; Callow, Timothy J ; Cangi, Attila...
https://github.com/mala-project/mala/tree/v1.2.0.  , 2023
Link: https://zenodo.org/recor..
 
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11

LDOS/SNAP data for MALA: Beryllium at high temperatures:

Fiedler, Lenz ; Cangi, Attila
url:https://www.hzdr.de/publications/Publ-36846.  , 2023
Link: https://rodare.hzdr.de/r..
 
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12

Scripts and models for "Machine learning the electronic str..:

Fiedler, Lenz ; Modine, Normand A ; Miller, Kyle D.
url:https://www.hzdr.de/publications/Publ-36845.  , 2023
Link: https://rodare.hzdr.de/r..
 
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13

Predicting electronic structures at any length scale with m..:

Fiedler, Lenz ; Modine, Normand A ; Schmerler, Steve...
http://arxiv.org/abs/2210.11343.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

MALA:

Cangi, Attila ; Ellis, J. Austin ; Fiedler, Lenz...
https://github.com/mala-project/mala/tree/v1.1.0.  , 2022
Link: https://zenodo.org/recor..
 
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15

Training-free hyperparameter optimization of neural network..:

Fiedler, Lenz ; Hoffmann, Nils ; Mohammed, Parvez...
http://arxiv.org/abs/2202.09186.  , 2022
Link: http://arxiv.org/abs/220..
 
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