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ResearcherID: C-3747-2019

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Employment (1)

Stanford University: Stanford, CA, US

2023-12-01 to present | Lecturer (Materials Science and Engineering)
Employment
Source: Self-asserted source
Enze Chen

Education and qualifications (3)

University of California, Berkeley: Berkeley, California, US

2019-08-21 to 2023-12-15 | PhD (Materials Science and Engineering)
Education
Source: Self-asserted source
Enze Chen

Stanford University: Stanford, CA, US

2017-09-25 to 2019-01-10 | Masters of Science (Institute for Computational and Mathematical Engineering)
Education
Source: Self-asserted source
Enze Chen

Stanford University: Stanford, CA, US

2014-09-22 to 2018-06-17 | Bachelors of Science with Honors (Materials Science and Engineering)
Education
Source: Self-asserted source
Enze Chen

Funding (1)

NSF Graduate Research Fellowship Program

2020-09 to 2025-08 | Award
National Science Foundation (VA, VA, US)
GRANT_NUMBER:

DGE-1752814
Source: Self-asserted source
Enze Chen

Works (9)

Artificial Intelligence in Materials Education: A Roundtable Discussion

JOM
2023-07 | Journal article
DOI: 10.1007/s11837-023-05922-3
Part of ISSN: 1047-4838
Part of ISSN: 1543-1851
Contributors: Kaitlin Tyler; Enze Chen; Bryce Meredig; Taylor Sparks
Source: Self-asserted source
Enze Chen

Educating current industrial workforce to embrace data-driven materials development

MRS Bulletin
2022-10 | Journal article | Author
DOI: 10.1557/s43577-022-00410-6
Part of ISSN: 0883-7694
Part of ISSN: 1938-1425
Contributors: Enze Chen; Oghoghosa Igbineweka; Lenore Kubie; James
Source: Self-asserted source
Enze Chen

Using Jupyter Tools to Design an Interactive Textbook to Guide Undergraduate Research in Materials Informatics

Journal of Chemical Education
2022-10-11 | Journal article | Author
DOI: 10.1021/acs.jchemed.2c00640
Part of ISSN: 0021-9584
Part of ISSN: 1938-1328
Contributors: Enze Chen; Mark Asta
Source: Self-asserted source
Enze Chen

Modeling antiphase boundary energies of Ni3Al-based alloys using automated density functional theory and machine learning

npj Computational Materials
2022-04-25 | Journal article
DOI: 10.1038/s41524-022-00755-1
Part of ISSN: 2057-3960
Source: Self-asserted source
Enze Chen

Twin-Boundary Structural Phase Transitions in Elemental Titanium

2021-03-10 | Preprint
ARXIV: arXiv:2103.06194v1
Source: Self-asserted source
Enze Chen

Stitch It Up: Using Progressive Data Storage to Scale Science

2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
2020-05 | Other
DOI: 10.1109/ipdps47924.2020.00016
Contributors: Jay Lofstead; John Mitchell; Enze Chen
Source: Self-asserted source
Enze Chen via Crossref Metadata Search

Data-Driven Methods for Building Reduced Kinetic Monte Carlo Models of Complex Chemistry from Molecular Dynamics Simulations

From Biocultural Homogenization to Biocultural Conservation
2019-02 | Other
DOI: 10.1007/978-3-030-05600-1_9
Part of ISSN: 2198-9729
Contributors: Qian Yang; Carlos A. Sing-Long; Enze Chen; Evan J. Reed
Source: Self-asserted source
Enze Chen via Crossref Metadata Search

Transferable Kinetic Monte Carlo Models with Thousands of Reactions Learned from Molecular Dynamics Simulations

The Journal of Physical Chemistry A
2019-02-08 | Journal article
DOI: 10.1021/acs.jpca.8b09947
Part of ISSN: 1089-5639
Contributors: Enze Chen; Qian Yang; Vincent Dufour-Décieux; Carlos A. Sing-Long; Rodrigo Freitas; Evan J. Reed
Source: Self-asserted source
Enze Chen via Crossref Metadata Search

Gold Nanorods as Plasmonic Nanotransducers: Distance-Dependent Refractive Index Sensitivity

Langmuir
2012 | Journal article
DOI: 10.1021/la3034534
Part of ISSN: 0743-7463
Contributors: Limei Tian; Enze Chen; Naveen Gandra; Abdennour Abbas; Srikanth Singamaneni
Source: Self-asserted source
Enze Chen via Crossref Metadata Search

Peer review (3 reviews for 1 publication/grant)

Review activity for Journal of chemical education. (3)
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