Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization.
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| Title: | Uncertainty aware machine learning for bridging simulation and experiment in high throughput materials characterization. |
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| Authors: | Chen J; Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.; VT Made, Virginia Tech, Blacksburg, VA, USA.; Macromolecules Innovation Institute, Virginia Tech, Blacksburg, VA, USA., Long T; Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA., Wall M; Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA., Hufnagel T; Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, USA., Chen W; Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA. weichen@northwestern.edu. |
| Source: | Scientific reports [Sci Rep] 2026 May 06; Vol. 16 (1). Date of Electronic Publication: 2026 May 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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