Importance of data selection for machine learning-based atomistic potentials

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
Volume	258
DOIs	https://doi.org/NA
State	Published - Aug 25 2019
Event	ACS Fall National Meeting and Exposition - Duration: Aug 25 2019 → …

Name	ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
Volume	258
ISSN (Print)	0065-7727

Conference	ACS Fall National Meeting and Exposition
Period	08/25/19 → …

Access to Document

@inproceedings{11aee6d1d8a74b23bd4587c64370c982,

title = "Importance of data selection for machine learning-based atomistic potentials",

author = "Justin Smith and Benjamin Nebgen and Lubbers, \{N. Icholas\} and Sergei Tretiak and Kipton Barros",

year = "2019",

month = aug,

day = "25",

doi = "NA",

language = "English",

volume = "258",

series = "ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY",

booktitle = "ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY",

note = "ACS Fall National Meeting and Exposition ; Conference date: 25-08-2019",

}

TY - GEN

T1 - Importance of data selection for machine learning-based atomistic potentials

AU - Smith, Justin

AU - Nebgen, Benjamin

AU - Lubbers, N. Icholas

AU - Tretiak, Sergei

AU - Barros, Kipton

PY - 2019/8/25

Y1 - 2019/8/25

U2 - NA

DO - NA

M3 - Conference contribution

VL - 258

T3 - ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY

BT - ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY

T2 - ACS Fall National Meeting and Exposition

Y2 - 25 August 2019

ER -