Description
An interdisciplinary study of the microstructure and composition of various materials such as metals, semiconductors, ceramics, and polymers, in relation to their macromolecular physical and chemical properties. Materials science enables the custom creation of new materials with specific properties and uses. [1]
Categorization Schemas
Periodicals | |
Publications |
Periodicals
2329-7662 ( Print )
2329-7670 ( Online )
Mary Ann Liebert
2472-3444 ( Print )
2330-5517 ( Online )
SAGE Publications
,
American Association of Textile Chemists and Colorists (AATCC)
1532-8813 ( Print )
2330-5525 ( Online )
American Association of Textile Chemists and Colorists (AATCC)
1079-5545 ( Print )
2167-2725 ( Online )
Academy of Management
2643-6728 ( Online )
American Chemical Society (ACS)
0949-1775 ( Print )
1432-0517 ( Online )
Springer
0889-325X ( Print )
1944-737X ( Online )
American Concrete Institute (ACI)
0889-3241 ( Online )
1944-7361 ( Online )
American Concrete Institute (ACI)
1550-4832 ( Print )
1550-4840 ( Online )
Association for Computing Machinery (ACM)
Publications
E Kny , R Hasler , W Luczak , ... , C Kleber
Analytical and Bioanalytical Chemistry , 2024 - VOLUME 416, ISSUE 9 , pp 2247-2259.
Pleurotus ostreatus as a model mushroom in genetics, cell biology, and material sciences.
T Nakazawa , M Kawauchi , Y Otsuka , ... , Y Honda
Applied Microbiology and Biotechnology , 2024 - VOLUME 108, ISSUE 1 , p 217.
MatKG: An autonomously generated knowledge graph in Material Science
Scientific Data , 2024 - VOLUME 11, ISSUE 1 , p 217.
T Mori , S Sumida , K Sakata , S Shirakawa
Organic and Biomolecular Chemistry , 2024 - VOLUME 22, ISSUE 23 , pp 4625-4636.
Editorial: Machine Learning in Materials Science.
KM Merz , YS Choong , Z Cournia , ... , F Zhu
Journal of Chemical Information and Modeling , 2024 - VOLUME 64, ISSUE 10 , pp 3959-3960.
Semantic integration of diverse data in materials science: Assessing Orowan strengthening.
B Bayerlein , M Schilling , P von Hartrott , J Waitelonis
Scientific Data , 2024 - VOLUME 11, ISSUE 1 , p 434.
Explainable Graph Neural Networks with Data Augmentation for Predicting pKa of C-H Acids.
Journal of Chemical Information and Modeling , 2024 - VOLUME 64, ISSUE 7 , pp 2383-2392.
Hierarchical assembly is more robust than egalitarian assembly in synthetic capsids
WS Wei , A Trubiano , C Sigl , ... , S Fraden
Proceedings of the National Academy of Sciences (PNAS) , 2024 - VOLUME 121, ISSUE 7 , p e2312775121.
ChatGPT in the Material Design: Selected Case Studies to Assess the Potential of ChatGPT.
J Deb , L Saikia , KD Dihingia , GN Sastry
Journal of Chemical Information and Modeling , 2024 - VOLUME 64, ISSUE 3 , pp 799-811.
Artificial Intelligence Agents for Materials Sciences
ON Oliveira , L Christino , MCF Oliveira , FV Paulovich
Journal of Chemical Information and Modeling , 2023 - VOLUME 63, ISSUE 24 , pp 7605-7609.
Call for Papers
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