Artificial Intelligence for Materials Discovery, Development, and Optimization
Korea Advanced Institute of Science and Technology · Kootenay Association for Science & Technology · +4 more institutions
Abstract
This review highlights the recent transformative impact of artificial intelligence (AI), machine learning (ML), and deep learning (DL) on materials science, emphasizing their applications in materials discovery, development, and optimization. AI-driven methods have revolutionized materials discovery through structure generation, property prediction, high-throughput (HT) screening, and computational design while advancing development with improved characterization and autonomous experimentation. Optimization has also benefited from AI's ability to enhance materials design and processes. The review will introduce fundamental AI and ML concepts, including supervised learning, unsupervised learning,…
Citation impact
- FWCI
- 37.57
- Percentile
- 100%
- References
- 469
Authors
10- BMBenediktus Madika
Korea Advanced Institute of Science and Technology, Kootenay Association for Science & Technology
- ASAditi Saha
Korea Advanced Institute of Science and Technology, Kootenay Association for Science & Technology
- CKChaeyul Kang
Korea Advanced Institute of Science and Technology, Kootenay Association for Science & Technology
- BBBatzorig Buyantogtokh
Korea Advanced Institute of Science and Technology, Kootenay Association for Science & Technology
- JAJoshua Agar
Drexel University
Topics & keywords
- Artificial intelligence
- Computer science
- Interpretability
- Machine learning
- Deep learning
- Benchmarking
- Data science
- Reinforcement learning