From Data to Discovery: How AI-Driven Materials Databases Are Reshaping Research

AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms such as Digital Catalysis Platform (DigCat) and Dynamic Database of S... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.064061
Citations
6
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
3.11

Funders

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article

From Data to Discovery: How AI-Driven Materials Databases Are Reshaping Research

Yaping Qi, Weijie Yang
6 citations
Computers, materials & continua/Computers, materials & continua (Print)
Machine Learning in Materials Science
3.11
article

From Data to Discovery: How AI-Driven Materials Databases Are Reshaping Research

Yaping Qi, Weijie Yang
article en
6 citations

Abstract

AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization. Platforms such as Digital Catalysis Platform (DigCat) and Dynamic Database of S... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Chinese Academy of Sciences
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Machine Learning in Materials Science
3.11
DOIOpen Access PDFOpenAlex
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From Data to Discovery: How AI-Driven Materials Databases Are Reshaping Research — Yaping Qi, Weijie Yang · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS