We present a general approach to isolate chemical reaction mechanism as an independently controllable variable across chemically distinct systems. Modern approaches to reduce the computational expense of molecular dynamics simulations often group multiple atoms into a single "coarse-grained" interaction site, which leads to a loss of chemical resolution. In this work we convert this shortcoming into a feature and use identical coarse-grained models to represent molecules that share non-reactive characteristics but react by different mechanisms. As a proof of concept we use this approach to simulate and investigate distinct, yet similar, trifunctional isocyanurate resin formulations that polymerize by either chain- or step-growth. Since the ...
Simulation studies of step-growth polymerization, e.g., polymerization of polyurethane systems, hold...
We report a molecular modeling paradigm to describe silica polymerization reactions in aqueous solut...
Compared to top-down coarse-grained (CG) models, bottom-up approaches are capable of offering higher...
We present a general approach to isolate chemical reaction mechanism as an independently controllabl...
Chemical reactions are ubiquitous in both materials and the biophysical sciences. While coarse-grain...
We develop novel parallel algorithms that allow molecular dynamics simulations in which byproduct mo...
The quantitative description of polymeric systems requires hierarchical modeling schemes, which brid...
An algorithm capable of incorporating multi-step reaction mechanisms into atomistic molecular dynami...
Classical Molecular Dynamics (MD) simulations provide insight into the properties of many soft-matte...
One of the challenges in understanding polymer flammability is the lack of information about microsc...
One of the challenges in understanding polymer flammability is the lack of information about microsc...
Computer simulations of condensed phases and biochemical systems have lead to profound new insight ...
Simulation studies of step-growth polymerization, e.g., polymerization of polyurethane systems, hold...
AbstractWe introduce a reaction model combining with dissipative particle dynamics to study the chem...
The stochastic nature of polymerization processes often leads to a mixture of chain populations with...
Simulation studies of step-growth polymerization, e.g., polymerization of polyurethane systems, hold...
We report a molecular modeling paradigm to describe silica polymerization reactions in aqueous solut...
Compared to top-down coarse-grained (CG) models, bottom-up approaches are capable of offering higher...
We present a general approach to isolate chemical reaction mechanism as an independently controllabl...
Chemical reactions are ubiquitous in both materials and the biophysical sciences. While coarse-grain...
We develop novel parallel algorithms that allow molecular dynamics simulations in which byproduct mo...
The quantitative description of polymeric systems requires hierarchical modeling schemes, which brid...
An algorithm capable of incorporating multi-step reaction mechanisms into atomistic molecular dynami...
Classical Molecular Dynamics (MD) simulations provide insight into the properties of many soft-matte...
One of the challenges in understanding polymer flammability is the lack of information about microsc...
One of the challenges in understanding polymer flammability is the lack of information about microsc...
Computer simulations of condensed phases and biochemical systems have lead to profound new insight ...
Simulation studies of step-growth polymerization, e.g., polymerization of polyurethane systems, hold...
AbstractWe introduce a reaction model combining with dissipative particle dynamics to study the chem...
The stochastic nature of polymerization processes often leads to a mixture of chain populations with...
Simulation studies of step-growth polymerization, e.g., polymerization of polyurethane systems, hold...
We report a molecular modeling paradigm to describe silica polymerization reactions in aqueous solut...
Compared to top-down coarse-grained (CG) models, bottom-up approaches are capable of offering higher...