Loose, Timothy_D, Sahrmann, Patrick_G, Qu, Thomas_S, and Voth, Gregory_A. Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models. The Journal of Physical Chemistry B 127.49 Web. doi:10.1021/acs.jpcb.3c05928.

Loose, Timothy_D, Sahrmann, Patrick_G, Qu, Thomas_S, & Voth, Gregory_A. Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models. The Journal of Physical Chemistry B, 127 (49). https://doi.org/10.1021/acs.jpcb.3c05928

Loose, Timothy_D, Sahrmann, Patrick_G, Qu, Thomas_S, and Voth, Gregory_A. "Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models". The Journal of Physical Chemistry B 127 (49). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acs.jpcb.3c05928. https://par.nsf.gov/biblio/10477077.

@article{osti_10477077,
place = {Country unknown/Code not available}, title = {Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models}, url = {https://par.nsf.gov/biblio/10477077}, DOI = {10.1021/acs.jpcb.3c05928}, abstractNote = {Not Available}, journal = {The Journal of Physical Chemistry B}, volume = {127}, number = {49}, publisher = {American Chemical Society}, author = {Loose, Timothy_D and Sahrmann, Patrick_G and Qu, Thomas_S and Voth, Gregory_A}, }