Teichert, G.H., Natarajan, A.R., Van der Ven, A., and Garikipati, K. Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys. Retrieved from https://par.nsf.gov/biblio/10220467. Computer Methods in Applied Mechanics and Engineering 371.C Web. doi:10.1016/j.cma.2020.113281.

Teichert, G.H., Natarajan, A.R., Van der Ven, A., & Garikipati, K. Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys. Computer Methods in Applied Mechanics and Engineering, 371 (C). Retrieved from https://par.nsf.gov/biblio/10220467. https://doi.org/10.1016/j.cma.2020.113281

Teichert, G.H., Natarajan, A.R., Van der Ven, A., and Garikipati, K. "Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys". Computer Methods in Applied Mechanics and Engineering 371 (C). Country unknown/Code not available. https://doi.org/10.1016/j.cma.2020.113281. https://par.nsf.gov/biblio/10220467.

@article{osti_10220467,
place = {Country unknown/Code not available}, title = {Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys}, url = {https://par.nsf.gov/biblio/10220467}, DOI = {10.1016/j.cma.2020.113281}, abstractNote = {}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {371}, number = {C}, author = {Teichert, G.H. and Natarajan, A.R. and Van der Ven, A. and Garikipati, K.}, editor = {null} }