Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo Sampling.

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Title: Predicting Colloidal Interaction Parameters from Small-Angle X-ray Scattering Curves Using Artificial Neural Networks and Markov Chain Monte Carlo Sampling.
Authors: Wong K; Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K., Qi R; Yusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.; Langmu Bio, Building 2, 112 Jinjiadulu, Yuhang, Hangzhou 311112, China., Yang Y; Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.; Langmu Bio, Building 2, 112 Jinjiadulu, Yuhang, Hangzhou 311112, China., Luo Z; Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China., Guldin S; Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, U.K.; Department of Life Science Engineering, Technical University of Munich, Gregor-Mendel-Straße 4, 85354 Freising, Germany.; TUMCREATE, 1 CREATE Way, #10-02 CREATE Tower, 138602, Singapore., Butler KT; Department of Chemistry, University College London, Kathleen Lonsdale Building, Gower Place, London, WC1E 6BS, U.K.
Source: JACS Au [JACS Au] 2024 Sep 09; Vol. 4 (9), pp. 3492-3500. Date of Electronic Publication: 2024 Sep 09 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101775714 Publication Model: eCollection Cited Medium: Internet ISSN: 2691-3704 (Electronic) Linking ISSN: 26913704 NLM ISO Abbreviation: JACS Au Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2691-3704
DOI:10.1021/jacsau.4c00368