E-LIB Suche - Ergebnisse für: Schuetzke, Jan - Sprache DE

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1

Uncertainty-aware particle segmentation for electron micros..:

Rettenberger, Luca ; Szymanski, Nathan J. ; Zeng, Yan...
npj Computational Materials. 10 (2024) 1 - p. , 2024

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

2

Charge controlled interactions between DNA-modified silica ..:

Sheshachala, Sahana ; Huber, Birgit ; Schuetzke, Jan...
Nanoscale Advances. 5 (2023) 15 - p. 3914-3923 , 2023

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

3

Validating neural networks for spectroscopic classification..:

Schuetzke, Jan ; Szymanski, Nathan J. ; Reischl, Markus
npj Computational Materials. 9 (2023) 1 - p. , 2023

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

4

Accelerating Materials Discovery: Automated Identification ..:

Schuetzke, Jan ; Schweidler, Simon ; Muenke, Friedrich R....
Advanced Intelligent Systems. 6 (2023) 3 - p. , 2023

Link: https://doi.org/10.1002/..

5

Enhancing deep-learning training for phase identification i..:

Schuetzke, Jan ; Benedix, Alexander ; Mikut, Ralf.
IUCrJ. 8 (2021) 3 - p. 408-420 , 2021

Link: https://doi.org/10.1107/..

6

Charge controlled interactions between DNA-modified silica ..:

Sheshachala, Sahana ; Huber, Birgit ; Schuetzke, Jan...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367961/. , 2023

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

7

Validating neural networks for spectroscopic classification..:

Schuetzke, Jan ; Szymanski, Nathan J ; Reischl, Markus
info:eu-repo/semantics/altIdentifier/wos/001000893600001. , 2023

Link: https://publikationen.bi..

8

Accelerating Materials Discovery: Automated Identification ..:

Schuetzke, Jan ; Schweidler, Simon ; Muenke, Friedrich R...
info:eu-repo/semantics/altIdentifier/wos/001132813600001. , 2023

Link: https://publikationen.bi..

9

Charge controlled interactions between DNA-modified silica ..:

Sheshachala, Sahana ; Huber, Birgit ; Schuetzke, Jan...
info:eu-repo/semantics/altIdentifier/wos/001023683500001. , 2023

Link: https://publikationen.bi..

10

A Critical Review of Neural Networks for the Use with Spect..:

Schuetzke, Jan ; Szymanski, Nathan J ; Ceder, Gerbrand.
https://publikationen.bibliothek.kit.edu/1000151442. , 2022

Link: https://publikationen.bi..

11

A universal synthetic dataset for machine learning on spect..:

Schuetzke, Jan ; Szymanski, Nathan J ; Reischl, Markus
http://arxiv.org/abs/2206.06031. , 2022

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

12

Enhancing deep-learning training for phase identification i..:

Schuetzke, Jan ; Benedix, Alexander ; Mikut, Ralf.
info:eu-repo/semantics/altIdentifier/doi/10.1107/S2052252521002402. , 2021

Link: https://publikationen.bi..

13

Validating neural networks for spectroscopic classification..:

Jan Schuetzke ; Nathan J. Szymanski ; Markus Reischl
https://doi.org/10.1038/s41524-023-01055-y. , 2023

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

14

Enhancing deep-learning training for phase identification i..:

Jan Schuetzke ; Alexander Benedix ; Ralf Mikut.
http://scripts.iucr.org/cgi-bin/paper?S2052252521002402. , 2021

Link: https://doi.org/10.1107/..

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