🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Nongnuch Artrith

Utrecht University

ORCID: 0000-0003-1153-6583

Also affiliated with Nanomaterials Research (United States)

Materials ScienceEngineeringEnergy

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile
0.909Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes

Scientific Data(2023)10.1038/s41597-023-02262-4
Top 22%
0.909DataRank
Top 22%24 citations

Matthew R. Carbone, Chuntian Cao, Jianzhou Qu, Yonghua Du, Seong‐Min Bak +7 more

Papers

Driven by 7 papers — median percentile 39. Top paper: “Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes”.

Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes

Scientific Data(2023)10.1038/s41597-023-02262-4
Top 22%
0.909DataRank
Top 22%24 citations

Matthew R. Carbone, Chuntian Cao, Jianzhou Qu, Yonghua Du, Seong‐Min Bak +7 more

AENET–LAMMPS and AENET–TINKER: Interfaces for accurate and efficient molecular dynamics simulations with machine learning potentials

The Journal of Chemical Physics(2021)10.1063/5.0063880
N/A
0.510DataRank · unranked
29 citations

Tobias Morawietz, Hideki Mori, Thomas E. Markland, Nongnuch Artrith, Michael S. Chen

Atomic insights into the oxidative degradation mechanisms of sulfide solid electrolytes

Cell Reports Physical Science(2024)10.1016/j.xcrp.2024.101909
N/A
0.464DataRank · unranked
21 citations

Matthew R. Carbone, Cem Komurcuoglu, Jagriti S. Shekhawat, Kerry Sun, Haoyue Guo +13 more

Understanding the Onset of Surface Degradation in LiNiO2 Cathodes

ACS Applied Energy Materials(2022)10.1021/acsaem.2c00012
N/A
0DataRank · unranked
34 citations

Qian Wang, Haoyue Guo, Nongnuch Artrith, Alexander Urban, Xin‐Hao Li

Efficient training of ANN potentials by including atomic forces via Taylor expansion and application to water and a transition-metal oxide

npj Computational Materials(2020)10.1038/s41524-020-0323-8
N/A
0DataRank · unranked
66 citations

Johannes Kästner, Alexander Urban, Nongnuch Artrith, April M. Cooper

Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes

arXiv (Cornell University)(2023)10.48550/arxiv.2302.00126
Top 100%
0DataRank
Top 100%0 citations

Matthew R. Carbone, Chuntian Cao, Jianzhou Qu, Yonghua Du, Seong‐Min Bak +7 more

Atomic Insights into the Oxidative Degradation Mechanisms of Sulfide Solid Electrolytes

arXiv (Cornell University)(2023)10.48550/arxiv.2310.00794
N/A
0DataRank · unranked
0 citations

Matthew R. Carbone, Cem Komurcuoglu, Jagriti S. Shekhawat, Kerry Sun, Haoyue Guo +13 more