Explainable Deep Learning–Guided Screening of LiNO <sub>3</sub> -Based Molten-Salt Phase Change Materials for Lithium-Ion Battery Safety

-based PCMs, providing a simple, fast, and potentially transformative complementary approach to traditional thermal analysis methods for PCM screening.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-04-01
DOI
https://doi.org/10.1021/acs.analchem.5c06917
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Explainable Deep Learning–Guided Screening of LiNO 3 -Based Molten-Salt Phase Change Materials for Lithium-Ion Battery Safety

Jinhyuk Choi, Xianshuang Wang, J. Yoh
Analytical Chemistry
Advanced Battery Technologies Research
article

Explainable Deep Learning–Guided Screening of LiNO 3 -Based Molten-Salt Phase Change Materials for Lithium-Ion Battery Safety

Jinhyuk Choi, Xianshuang Wang, J. Yoh
article en

Abstract

-based PCMs, providing a simple, fast, and potentially transformative complementary approach to traditional thermal analysis methods for PCM screening.

Analytical ChemistryVol. 98(14)
Beijing Institute of Technology (CN), Seoul National University (KR)
Seoul National University, National Research Foundation of Korea
Reduced inequalities
Openalex Percentile: Top 30%
Advanced Battery Technologies Research
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.