Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery
Summary: Significant acceleration of the future discovery of novel functional materials requires a fundamental shift from the current materials discovery practice, which is heavily dependent on trial-and-error campaigns and high-throughput screening, to one that builds on knowledge-driven advanced i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
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| Series: | Patterns |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666389923002477 |