Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Data-centric framework for crystal structure identification in atomistic simulations using machine learning
This is not the latest version of this item. The latest version can be found here.

Data-centric framework for crystal structure identification in atomistic simulations using machine learning

Thumbnail Image
Download
Name

PhysRevMaterials.6.043801.pdf

Description
Published version
Size

2.78 MB

Format

Adobe PDF

Checksum (MD5)

8118c235ca148f1ede88de63ad56bec8

sword-2022-05-12T15:12:01.original.xml (130 B)
Original SWORD entry document
Author(s)
Chung, Heejung W
•
Freitas, Rodrigo
•
Cheon, Gowoon
•
Reed, Evan J
Date Issued
April 5, 2022
Journal
Physical Review Materials
Publisher
American Physical Society (APS)
Citation
Chung, Heejung W, Freitas, Rodrigo, Cheon, Gowoon and Reed, Evan J. 2022. "Data-centric framework for crystal structure identification in atomistic simulations using machine learning." Physical Review Materials, 6 (4).
Version
Final published version
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/142500
DOI of Published Version
10.1103/physrevmaterials.6.043801
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.