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Optimization of non-equilibrium self-assembly protocols using Markov state models

The Journal of Chemical Physics(2022)10.1063/5.0130407Source: DataRank Database

Optimization of non-equilibrium self-assembly protocols using Markov state models is a research paper published in The Journal of Chemical Physics (2022). On theSindex it has a DataRank of 0. It has been cited 15 times.

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Open Access15 citations

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Optimization of Non-Equilibrium Self-Assembly Protocols Using Markov State Models · arXiv

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Enrichment:Funding (6 grants)OA: greenTopics (11)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed)

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Authors (2)

Michael F. Hagan ORCID,Anthony Trubiano ORCID

Live enrichment

PubMed:26657633

National Institutes of Health

Grant: R01GM108021

Division of Materials Research

Grant: DMR-2011846

Office of Advanced Cyberinfrastructure

Grant: OAC-1920147

National Science Foundation

Grant: 1920147

MRI: Acquisition of a GPU-Accelerated Research Cluster

National Science Foundation

Grant: 2011846

Bioinspired Soft Materials

National Institutes of Health

Grant: 5R01GM108021-12

Computational modeling of viral capsid and bacterial microcompartment assembly

greenLicense: https://publishing.aip.org/authors/rights-and-permissions

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9788858

publisherhttps://aip.scitation.org/doi/am-pdf/10.1063/5.0130407

publisherhttps://pubs.aip.org/aip/jcp/article-pdf/doi/10.1063/5.0130407/16648222/244901_1_online.pdf

https://doi.org/10.1063/5.0130407

https://dx.doi.org/10.48550/arxiv.2210.05749

Fields of Study

0211 other engineering and technologies0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Condensed Matter - Materials ScienceCapsidPolymersSoft Condensed Matter (cond-mat.soft)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesCapsid ProteinsCondensed Matter - Soft Condensed Matter

Optimization of Non-Equilibrium Self-Assembly Protocols Using Markov State Models

10.48550/arxiv.2210.05749arXiv