Enhancing Spectrometer Performance with Unsupervised Machine Learning.
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| Title: | Enhancing Spectrometer Performance with Unsupervised Machine Learning. |
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| Authors: | Harding BD; Biophysics Graduate Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States., Hu Z; Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States., Hiett A; Biophysics Graduate Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States., Delaglio F; Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology and the University of Maryland, Rockville, Maryland 20850, United States., Henzler-Wildman KA; Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States., Rienstra CM; Biophysics Graduate Program, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; National Magnetic Resonance Facility at Madison, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.; Morgridge Institute for Discovery, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States. |
| Source: | The journal of physical chemistry. B [J Phys Chem B] 2024 Oct 24; Vol. 128 (42), pp. 10397-10407. Date of Electronic Publication: 2024 Oct 12. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101157530 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5207 (Electronic) Linking ISSN: 15205207 NLM ISO Abbreviation: J Phys Chem B Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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