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The Journal of Physical Chemistry. B|April 8, 2024
Bridging the Gap in Cryopreservation Mechanism: Unraveling the Interplay between Structure, Dynamics, and Thermodynamics in Cryoprotectant Aqueous SolutionsDebasish Das Mahanta, Dennis Robinson Brown, Thomas Webber, et al.
The European Physical Journal. E, Soft Matter|September 4, 2023
A molecularly informed field-theoretic study of the complexation of polycation PDADMA with mixed micelles of sodium dodecyl sulfate and ethoxylated surfactantsMy Nguyen, Kevin Shen, Nicholas Sherck, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 2, 2016
Surface force measurements and simulations of mussel-derived peptide adhesives on wet organic surfacesZachary A Levine, Michael V Rapp, Wei Wei, et al.
The Journal of Physical Chemistry. B|April 4, 2009
Amyloid beta-protein: experiment and theory on the 21-30 fragmentMegan M Murray, Mary Griffin Krone, Summer L Bernstein, et al.
Journal of the American Chemical Society|October 18, 2024
Accelerated Prediction of Phase Behavior for Block Copolymer Libraries Using a Molecularly Informed Field TheoryCharles Li, Elizabeth A Murphy, Stephen J Skala, et al.
Journal of Colloid and Interface Science|May 10, 2026
Prediction of cationic surfactant phase diagrams via molecularly informed field theoryDavid J Zhao, Andrea Perez-Marrufo, Steven G Arturo, et al.
Accounts of Chemical Research|September 20, 2006
Elucidating amyloid beta-protein folding and assembly: A multidisciplinary approachDavid B Teplow, Noel D Lazo, Gal Bitan, et al.
Journal of Colloid and Interface Science|February 3, 2023
Predicting surfactant phase behavior with a molecularly informed field theoryKevin Shen, My Nguyen, Nicholas Sherck, et al.
The Journal of Chemical Physics|October 23, 2020
Learning composition-transferable coarse-grained models: Designing external potential ensembles to maximize thermodynamic informationKevin Shen, Nicholas Sherck, My Nguyen, et al.
ACS Macro Letters|May 16, 2022
Molecularly Informed Field Theories from Bottom-up Coarse-GrainingNicholas Sherck, Kevin Shen, My Nguyen, et al.
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