1. 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) ↗
2. 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) ↗
3. The neural network based Δ-machine learning approach efficiently brings the DFT potential energy surface to the CCSD(T) quality: a case for the OH + CH3OH reaction. Issue 16 (11th April 2023) Authors: Song, Kaisheng; Li, Jun Journal: Physical chemistry chemical physics Issue: Volume 25:Issue 16(2023) Page Start: 11192 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Validating experiments for the reaction H2 + NH2− by dynamical calculations on an accurate full-dimensional potential energy surface. Issue 17 (14th April 2022) Authors: Song, Kaisheng; Song, Hongwei; Li, Jun Journal: Physical chemistry chemical physics Issue: Volume 24:Issue 17(2022) Page Start: 10160 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗