Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol

Emiel Slootman; Igor Poltavsky; Ravindra Laxman Shinde; Jacopo Cocomello; Saverio Moroni; Alexander Tkatchenko; C. Filippi

Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol

Emiel Slootman, Igor Poltavsky, Ravindra Laxman Shinde, Jacopo Cocomello, Saverio Moroni, Alexander Tkatchenko, C. Filippi

Research output: Contribution to conference › Poster › Academic

Original language	English
Number of pages	1
Publication status	Published - 17 Apr 2024
Event	CTC Symposium 2024 - TU Eindhoven, Eindhoven, Netherlands Duration: 17 Apr 2024 → 17 Apr 2024

Conference

Conference	CTC Symposium 2024
Country/Territory	Netherlands
City	Eindhoven
Period	17/04/24 → 17/04/24

1 Poster

Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol
Slootman, E., Poltavsky, I., Shinde, R. L., Cocomello, J., Moroni, S., Tkatchenko, A. & Filippi, C., 23 Sept 2024. 1 p.
Research output: Contribution to conference › Poster › Academic

Cite this

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title = "Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol",

author = "Emiel Slootman and Igor Poltavsky and Shinde, {Ravindra Laxman} and Jacopo Cocomello and Saverio Moroni and Alexander Tkatchenko and C. Filippi",

year = "2024",

month = apr,

day = "17",

language = "English",

note = "CTC Symposium 2024 ; Conference date: 17-04-2024 Through 17-04-2024",

}