Learning when to use physical relationships in descriptor-based tabular machine learning

Learning when to use physical relationships in descriptor-based tabular machine learning, Zhou, Han, Wang, Shiwen, Huo, Mengni, Peng, Zhongyou, Tan, Licheng, Liaw, Boryann, Tempel, Hermann, Yu, Shicheng, Chen, Yiwang, Eichel, Rüdiger-A

Authors

Institutions

Publication Details

Journal
AI for Science
Published
2026-11-06
DOI
https://doi.org/10.1088/3050-287x/aebee8
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Learning when to use physical relationships in descriptor-based tabular machine learning

Bor Yann Liaw, Shicheng Yu, Zhongyou Peng, Han Zhou et al.
3 links
AI for Science
Machine Learning in Materials Science
article

Learning when to use physical relationships in descriptor-based tabular machine learning

Bor Yann Liaw, Shicheng Yu, Zhongyou Peng, Han Zhou, Licheng Tan, Rüdiger‐A. Eichel, Shiwen Wang, Hermann Tempel, Yiwang Chen, Mengni Huo
article en

Abstract

Learning when to use physical relationships in descriptor-based tabular machine learning, Zhou, Han, Wang, Shiwen, Huo, Mengni, Peng, Zhongyou, Tan, Licheng, Liaw, Boryann, Tempel, Hermann, Yu, Shicheng, Chen, Yiwang, Eichel, Rüdiger-A

AI for Science
Nanchang University (CN), Forschungszentrum Jülich (DE)
Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen, National Key Research and Development Program of China
Openalex Percentile: Top 60%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon