[HTML][HTML] Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
I Malashin, D Martysyuk, V Tynchenko… - …, 2024 - pmc.ncbi.nlm.nih.gov
The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …
advancements in optimizing biopolymer production processes. ML techniques, applied …
Delayed excitations induce polymer looping and coherent motion
We consider inhomogeneous polymers driven by energy-consuming active processes which
encode temporal patterns of athermal kicks. We find that such temporal excitation programs …
encode temporal patterns of athermal kicks. We find that such temporal excitation programs …
Langevin dynamics simulations for the critical adsorption of end-grafted active polymers
MB Luo, YF Shen - Soft Matter, 2024 - pubs.rsc.org
The critical adsorption of end-grafted active polymer chains on an attractive surface is
studied using Langevin dynamics simulations. The active polymers are composed of an …
studied using Langevin dynamics simulations. The active polymers are composed of an …
Conformations, Dynamics, and Looping Kinetics of Partially Active Polymers
K Goswami, N Hsia, CH Chang, HY Shih - arXiv preprint arXiv:2412.04175, 2024 - arxiv.org
We investigate the conformational and dynamical properties of a partially active Rouse
chain, where activity is localized within a specific segment, positioned at various locations …
chain, where activity is localized within a specific segment, positioned at various locations …
Shear flow as a tool to distinguish microscopic activities of molecular machines in a chromatin loop
Several types of molecular machines move along biopolymers like chromatin. However, the
details about the microscopic activity of these machines and how to distinguish their modes …
details about the microscopic activity of these machines and how to distinguish their modes …