Sahrmann, Patrick G., Loose, Timothy D., Durumeric, Aleksander E. P., and Voth, Gregory A. Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles. Journal of Chemical Theory and Computation 19.14 Web. doi:10.1021/acs.jctc.2c01183.

Sahrmann, Patrick G., Loose, Timothy D., Durumeric, Aleksander E. P., & Voth, Gregory A. Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles. Journal of Chemical Theory and Computation, 19 (14). https://doi.org/10.1021/acs.jctc.2c01183

Sahrmann, Patrick G., Loose, Timothy D., Durumeric, Aleksander E. P., and Voth, Gregory A. "Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles". Journal of Chemical Theory and Computation 19 (14). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acs.jctc.2c01183. https://par.nsf.gov/biblio/10397947.

@article{osti_10397947,
place = {Country unknown/Code not available}, title = {Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles}, url = {https://par.nsf.gov/biblio/10397947}, DOI = {10.1021/acs.jctc.2c01183}, abstractNote = {Not Available}, journal = {Journal of Chemical Theory and Computation}, volume = {19}, number = {14}, publisher = {American Chemical Society}, author = {Sahrmann, Patrick G. and Loose, Timothy D. and Durumeric, Aleksander E. P. and Voth, Gregory A.}, }