Recent developments in organic molecular crystal structure prediction methods and applications: traditional techniques and machine learning

Authors

Publication Details

Journal
Scientia Sinica Chimica
Published
2025-04-28
DOI
https://doi.org/10.1360/ssc-2025-0096
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent developments in organic molecular crystal structure prediction methods and applications: traditional techniques and machine learning

Chengxi Zhao, Linjiang Chen
Scientia Sinica Chimica
Machine Learning in Materials Science
article

Recent developments in organic molecular crystal structure prediction methods and applications: traditional techniques and machine learning

Chengxi Zhao, Linjiang Chen
article en

Abstract

No abstract available for this paper.
Scientia Sinica ChimicaVol. 55(6)
Openalex Percentile: Top 94%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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.

Recent developments in organic molecular crystal structure prediction methods and applications: traditional techniques and machine learning — Chengxi Zhao, Linjiang Chen · Scientia Sinica Chimica (2025) | TGRS Research Map | TGRS