A new computational method CREASE to analyze and interpret small angle scattering profiles from polymers and soft materials
ORAL
Abstract
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Publication: 1. Beltran-Villegas, D. J.; Wessels, M. G.; Lee, J. Y.; Song, Y.; Wooley, K. L.; Pochan, D. J.; Jayaraman, A. Computational Reverse-Engineering Analysis for Scattering Experiments on Amphiphilic Block Polymer Solutions. J. Am. Chem. Soc. 2019, 141, 14916−14930.<br>2. Wessels, M. G.; Jayaraman, A. Computational Reverse-Engineering Analysis of Scattering Experiments (CREASE) on Amphiphilic Block Polymer Solutions: Cylindrical and Fibrillar Assembly. Macromolecules 2021, 54, 783-796. <br>3. Wessels, M. G.; Jayaraman, A. Machine Learning Enhanced Computational Reverse Engineering Analysis for Scattering Experiments (CREASE) to Determine Structures in Amphiphilic Polymer Solutions. ACS Polymers Au 2021, https://doi.org/10.1021/acspolymersau.1c00015<br>4. Ye, Z.; Wu, Z.; Jayaraman, A. Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) on Vesicles Assembled from Amphiphilic Macromolecular Solutions. JACS Au 2021, Advanced Article. https://doi.org/10.1021/jacsau.1c00305<br>
Presenters
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Arthi Jayaraman
University of Delaware
Authors
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Arthi Jayaraman
University of Delaware