Materials science with large-scale data and informatics: Unlocking new opportunities

J Hill, G Mulholland, K Persson, R Seshadri… - Mrs Bulletin, 2016‏ - cambridge.org
Universal access to abundant scientific data, and the software to analyze the data at scale,
could fundamentally transform the field of materials science. Today, the materials community …

Key computational modeling issues in integrated computational materials engineering

JH Panchal, SR Kalidindi, DL McDowell - Computer-Aided Design, 2013‏ - Elsevier
Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

Additive manufacturing: Toward holistic design

BH Jared, MA Aguilo, LL Beghini, BL Boyce, BW Clark… - Scripta Materialia, 2017‏ - Elsevier
Additive manufacturing offers unprecedented opportunities to design complex structures
optimized for performance envelopes inaccessible under conventional manufacturing …

Physics-informed machine learning for composition–process–property design: Shape memory alloy demonstration

S Liu, BB Kappes, B Amin-ahmadi, O Benafan… - Applied Materials …, 2021‏ - Elsevier
Abstract Machine learning (ML) is shown to predict new alloys and their performances in a
high dimensional, multiple-target-property design space that considers chemistry, multi-step …