1. A bin and hash method for analyzing reference data and descriptors in machine learning potentials. Issue 3 (22nd April 2021) Authors: Paleico, Martín Leandro; Behler, Jörg Journal: Machine learning: science and technology Issue: Volume 2:Issue 3(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A critical comparison of neural network potentials for molecular reaction dynamics with exact permutation symmetry. Issue 19 (23rd January 2019) Authors: Li, Jun; Song, Kaisheng; Behler, Jörg Journal: Physical chemistry chemical physics Issue: Volume 21:Issue 19(2019) Page Start: 9672 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. An assessment of the structural resolution of various fingerprints commonly used in machine learning. Issue 1 (6th April 2021) Authors: Parsaeifard, Behnam; Sankar De, Deb; Christensen, Anders S; Faber, Felix A; Kocer, Emir; De, Sandip; Behler, Jörg; Anatole von Lilienfeld, O; Goedecker, Stefan Journal: Machine learning: science and technology Issue: Volume 2:Issue 1(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. An experimentally validated neural-network potential energy surface for H-atom on free-standing graphene in full dimensionality. Issue 45 (11th September 2020) Authors: Wille, Sebastian; Jiang, Hongyan; Bünermann, Oliver; Wodtke, Alec M.; Behler, Jörg; Kandratsenka, Alexander Journal: Physical chemistry chemical physics Issue: Volume 22:Issue 45(2020) Page Start: 26113 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Constructing high‐dimensional neural network potentials: A tutorial review1. Issue 16 (6th March 2015) Authors: Behler, Jörg; Rupp, Matthias Journal: International journal of quantum chemistry Issue: Volume 115:Issue 16(2015:Aug. 19) Page Start: 1032 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Correction: A critical comparison of neural network potentials for molecular reaction dynamics with exact permutation symmetry. Issue 47 (8th December 2020) Authors: Li, Jun; Song, Kaisheng; Behler, Jörg Journal: Physical chemistry chemical physics Issue: Volume 22:Issue 47(2020) Page Start: 27914 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Cover Feature: New Insights into the Catalytic Activity of Cobalt Orthophosphate Co3(PO4)2 from Charge Density Analysis (Chem. Eur. J. 69/2019). Issue 69 (17th October 2019) Authors: Keil, Helena; Hellström, Matti; Stückl, Claudia; Herbst‐Irmer, Regine; Behler, Jörg; Stalke, Dietmar Journal: Chemistry Issue: Volume 25:Issue 69(2019) Page Start: 15704 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Density anomaly of water at negative pressures from first principles. (4th June 2018) Authors: Singraber, Andreas; Morawietz, Tobias; Behler, Jörg; Dellago, Christoph Journal: Journal of physics Issue: Volume 30:Number 25(2018) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems. Issue 42 (18th August 2017) Authors: Behler, Jörg Journal: Angewandte Chemie international edition Issue: Volume 56:Issue 42(2017) Page Start: 12828 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Front Cover: Neural network potentials for metals and oxides – First applications to copper clusters at zinc oxide (Phys. Status Solidi B 6/2013). Issue 6 (4th June 2013) Authors: Artrith, Nongnuch; Hiller, Björn; Behler, Jörg Journal: Physica status solidi Issue: Volume 250:Issue 6(2013:Jun.) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗