Barhaghi, Mohammad Soroush, Crawford, Brad, Schwing, Gregory, Hardy, David J., Stone, John E., Schwiebert, Loren, Potoff, Jeffrey, and Tajkhorshid, Emad. py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD. Retrieved from https://par.nsf.gov/biblio/10340695. Journal of Chemical Theory and Computation . Web. doi:10.1021/acs.jctc.1c00911.

Barhaghi, Mohammad Soroush, Crawford, Brad, Schwing, Gregory, Hardy, David J., Stone, John E., Schwiebert, Loren, Potoff, Jeffrey, & Tajkhorshid, Emad. py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD. Journal of Chemical Theory and Computation, (). Retrieved from https://par.nsf.gov/biblio/10340695. https://doi.org/10.1021/acs.jctc.1c00911

Barhaghi, Mohammad Soroush, Crawford, Brad, Schwing, Gregory, Hardy, David J., Stone, John E., Schwiebert, Loren, Potoff, Jeffrey, and Tajkhorshid, Emad. "py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD". Journal of Chemical Theory and Computation (). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acs.jctc.1c00911. https://par.nsf.gov/biblio/10340695.

@article{osti_10340695,
place = {Country unknown/Code not available}, title = {py-MCMD: Python Software for Performing Hybrid Monte Carlo/Molecular Dynamics Simulations with GOMC and NAMD}, url = {https://par.nsf.gov/biblio/10340695}, DOI = {10.1021/acs.jctc.1c00911}, abstractNote = {}, journal = {Journal of Chemical Theory and Computation}, publisher = {American Chemical Society}, author = {Barhaghi, Mohammad Soroush and Crawford, Brad and Schwing, Gregory and Hardy, David J. and Stone, John E. and Schwiebert, Loren and Potoff, Jeffrey and Tajkhorshid, Emad}, }