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Bottom-up coarse-graining: Principles and perspectives
Large-scale computational molecular models provide scientists a means to investigate the
effect of microscopic details on emergent mesoscopic behavior. Elucidating the relationship …
effect of microscopic details on emergent mesoscopic behavior. Elucidating the relationship …
Perspective: Advances, challenges, and insight for predictive coarse-grained models
WG Noid - The Journal of Physical Chemistry B, 2023 - ACS Publications
By averaging over atomic details, coarse-grained (CG) models provide profound
computational and conceptual advantages for studying soft materials. In particular, bottom …
computational and conceptual advantages for studying soft materials. In particular, bottom …
Computational approaches for organic semiconductors: from chemical and physical understanding to predicting new materials
While a complete understanding of organic semiconductor (OSC) design principles remains
elusive, computational methods─ ranging from techniques based in classical and quantum …
elusive, computational methods─ ranging from techniques based in classical and quantum …
Martinize2 and vermouth: Unified framework for topology generation
Ongoing advances in force field and computer hardware development enable the use of
molecular dynamics (MD) to simulate increasingly complex systems with the ultimate goal of …
molecular dynamics (MD) to simulate increasingly complex systems with the ultimate goal of …
Airborne transmission of COVID-19: aerosol dispersion, lung deposition, and virus-receptor interactions
Coronavirus disease 2019 (COVID-19), due to infection by the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), is now causing a global pandemic. Aerosol …
syndrome coronavirus 2 (SARS-CoV-2), is now causing a global pandemic. Aerosol …
Data-driven design of polymer-based biomaterials: high-throughput simulation, experimentation, and machine learning
Polymers, with the capacity to tunably alter properties and response based on manipulation
of their chemical characteristics, are attractive components in biomaterials. Nevertheless …
of their chemical characteristics, are attractive components in biomaterials. Nevertheless …
Chemically specific coarse‐graining of polymers: methods and prospects
Coarse‐grained (CG) modeling is an invaluable tool for the study of polymers and other soft
matter systems due to the span of spatiotemporal scales that typify their physics and …
matter systems due to the span of spatiotemporal scales that typify their physics and …
Coarse-graining auto-encoders for molecular dynamics
Molecular dynamics simulations provide theoretical insight into the microscopic behavior of
condensed-phase materials and, as a predictive tool, enable computational design of new …
condensed-phase materials and, as a predictive tool, enable computational design of new …
Targeted sequence design within the coarse-grained polymer genome
The chemical design of polymers with target structural and/or functional properties
represents a grand challenge in materials science. While data-driven design approaches …
represents a grand challenge in materials science. While data-driven design approaches …
Recent advances in machine learning towards multiscale soft materials design
The multiscale design of soft materials requires an ensemble of computational techniques
spanning quantum-chemistry to molecular dynamics to continuum modeling. The recent …
spanning quantum-chemistry to molecular dynamics to continuum modeling. The recent …