Synergistic screening of high-performance TMDs/2D-LHPs heterostructures for solar cells <i>via</i> deep learning and DFT

Authors

Institutions

Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta02429c
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synergistic screening of high-performance TMDs/2D-LHPs heterostructures for solar cells via deep learning and DFT

Congsheng Xu, Gang Guo, Gencai Guo
4 citations
Journal of Materials Chemistry A
Machine Learning in Materials Science
2.07
article

Synergistic screening of high-performance TMDs/2D-LHPs heterostructures for solar cells via deep learning and DFT

Congsheng Xu, Gang Guo, Gencai Guo
article en
4 citations

Abstract

No abstract available for this paper.
Journal of Materials Chemistry AVol. 13(26)
Harbin Institute of Technology (CN), Xiangtan University (CN), Hunan Institute of Technology (CN)
Openalex Percentile: Top 13%
Machine Learning in Materials Science
2.07
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.

Synergistic screening of high-performance TMDs/2D-LHPs heterostructures for solar cells <i>via</i> deep learning and DFT — Congsheng Xu, Gang Guo, et al. · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS