Self-adapting fixed-end-point configurational-bias Monte Carlo method for the regrowth of interior segments of chain molecules with strong intramolecular interactions

Collin D. Wick; J. Ilja Siepmann

doi:10.1021/ma000172g

Self-adapting fixed-end-point configurational-bias Monte Carlo method for the regrowth of interior segments of chain molecules with strong intramolecular interactions

Collin D. Wick
, J. Ilja Siepmann

University of Minnesota Twin Cities

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	7207-7218
Number of pages	12
Journal	Macromolecules
Volume	33
Issue number	19
DOIs	https://doi.org/10.1021/ma000172g
State	Published - Sep 19 2000
Externally published	Yes

ASJC Scopus Subject Areas

Organic Chemistry
Polymers and Plastics
Inorganic Chemistry
Materials Chemistry

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AU - Siepmann, J. Ilja

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Self-adapting fixed-end-point configurational-bias Monte Carlo method for the regrowth of interior segments of chain molecules with strong intramolecular interactions

ASJC Scopus Subject Areas

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