Extrapolative machine learning models for copolymers

Authors

Institutions

Publication Details

Journal
Molecular Systems Design & Engineering
Published
2024-11-27
DOI
https://doi.org/10.1039/d4me00123k
Citations
3
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extrapolative machine learning models for copolymers

himanshu ., Rahul Karmakar, Tarak K. Patra, Israrul H Hashmi
3 citations
Molecular Systems Design & Engineering
Machine Learning in Materials Science
0.35
article

Extrapolative machine learning models for copolymers

himanshu ., Rahul Karmakar, Tarak K. Patra, Israrul H Hashmi
article en
3 citations

Abstract

No abstract available for this paper.
Molecular Systems Design & EngineeringVol. 10(2)
Indian Institute of Technology Madras (IN)
Openalex Percentile: Top 43%
Machine Learning in Materials Science
0.35
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.

Extrapolative machine learning models for copolymers — himanshu ., Rahul Karmakar, et al. · Molecular Systems Design & Engineering (2024) | TGRS Research Map | TGRS