Materials Genome Engineering Advances

A peer-reviewed, open access journal in high-throughput computation, high-throughput preparation and characterization, high-throughput experiments, materials database, materials big-data technologies & digitalized and intelligent materials r&d.

Publication Details

Journal
GSI Repository (German Federal Government)
Published
2024-10-18
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

Materials Genome Engineering Advances

GSI Repository (German Federal Government)
Machine Learning in Materials Science
article

Materials Genome Engineering Advances

article en

Abstract

A peer-reviewed, open access journal in high-throughput computation, high-throughput preparation and characterization, high-throughput experiments, materials database, materials big-data technologies & digitalized and intelligent materials r&d.

GSI Repository (German Federal Government)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Machine Learning in Materials Science
Open 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.

Materials Genome Engineering Advances · GSI Repository (German Federal Government) (2024) | TGRS Research Map | TGRS