Format
Sort by

Send to

Choose Destination

Search results

Items: 5

1.

Towards exact molecular dynamics simulations with machine-learned force fields.

Chmiela S, Sauceda HE, Müller KR, Tkatchenko A.

Nat Commun. 2018 Sep 24;9(1):3887. doi: 10.1038/s41467-018-06169-2.

2.

Mechanical Vibrations of Atomically Defined Metal Clusters: From Nano- to Molecular-Size Oscillators.

Maioli P, Stoll T, Sauceda HE, Valencia I, Demessence A, Bertorelle F, Crut A, Vallée F, Garzón IL, Cerullo G, Del Fatti N.

Nano Lett. 2018 Oct 1. doi: 10.1021/acs.nanolett.8b02717. [Epub ahead of print]

PMID:
30247927
3.

SchNet - A deep learning architecture for molecules and materials.

Schütt KT, Sauceda HE, Kindermans PJ, Tkatchenko A, Müller KR.

J Chem Phys. 2018 Jun 28;148(24):241722. doi: 10.1063/1.5019779.

PMID:
29960322
4.

Machine learning of accurate energy-conserving molecular force fields.

Chmiela S, Tkatchenko A, Sauceda HE, Poltavsky I, Schütt KT, Müller KR.

Sci Adv. 2017 May 5;3(5):e1603015. doi: 10.1126/sciadv.1603015. eCollection 2017 May.

5.

Vibrational properties and specific heat of core-shell Ag-Au icosahedral nanoparticles.

Sauceda HE, Garzón IL.

Phys Chem Chem Phys. 2015 Nov 14;17(42):28054-9. doi: 10.1039/c5cp00232j. Epub 2015 Feb 20.

PMID:
25697903

Supplemental Content

Loading ...
Support Center