Transition state search accelerated with machine learning algorithms

Klemens Schmuck, Andreas Hauser

Publikation: KonferenzbeitragAbstractForschungBegutachtung

Originalspracheenglisch
Seiten76
Seitenumfang1
PublikationsstatusVeröffentlicht - Jun 2018
VeranstaltungEPFL: Computational Chemistry meets Artificial Intelligence - EPFL, Lausanne, Schweiz
Dauer: 13 Jun 201815 Jun 2018
https://cc2ai.epfl.ch/

Konferenz

KonferenzEPFL
LandSchweiz
OrtLausanne
Zeitraum13/06/1815/06/18
Internetadresse

Fields of Expertise

  • Advanced Materials Science

Dies zitieren

Schmuck, K., & Hauser, A. (2018). Transition state search accelerated with machine learning algorithms. 76. Abstract von EPFL, Lausanne, Schweiz.

Transition state search accelerated with machine learning algorithms. / Schmuck, Klemens; Hauser, Andreas.

2018. 76 Abstract von EPFL, Lausanne, Schweiz.

Publikation: KonferenzbeitragAbstractForschungBegutachtung

Schmuck, K & Hauser, A 2018, 'Transition state search accelerated with machine learning algorithms' EPFL, Lausanne, Schweiz, 13/06/18 - 15/06/18, S. 76.
Schmuck K, Hauser A. Transition state search accelerated with machine learning algorithms. 2018. Abstract von EPFL, Lausanne, Schweiz.
Schmuck, Klemens ; Hauser, Andreas. / Transition state search accelerated with machine learning algorithms. Abstract von EPFL, Lausanne, Schweiz.1 S.
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note = "EPFL : Computational Chemistry meets Artificial Intelligence ; Conference date: 13-06-2018 Through 15-06-2018",
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T1 - Transition state search accelerated with machine learning algorithms

AU - Schmuck, Klemens

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