Showing results (81-90 of 103) with videos related to
Sort By:
Pageof 11
Biotechnology and Bioengineering|May 30, 2025
Techno-Economic Analysis of Membrane-Based Purification Platforms for AAV Vector ProductionJuan J Romero, Eleanor W Jenkins, Jacob I Monroe, et al.Biomacromolecules|August 8, 2024
Multiscale Computational Study of Cellulose Acetate-Water Miscibility: Insights from Molecularly Informed Field-Theoretic ModelingMy V T Nguyen, Nicholas Sherck, Stephan Köhler, et al.The Journal of Physical Chemistry. B|May 12, 2023
Relationships between Molecular Structural Order Parameters and Equilibrium Water Dynamics in Aqueous MixturesDennis Charles Robinson Brown, Thomas R Webber, Sally Jiao, et al.Biophysical Journal|July 5, 2024
A colloidal model for the equilibrium assembly and liquid-liquid phase separation of the reflectin A1 proteinTse-Chiang Huang, Robert Levenson, Youli Li, et al.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.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.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.Pageof 11