Sadeghi Eshkevari, Soheil, Takáč, Martin, Pakzad, Shamim N., and Jahani, Majid. DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction. Retrieved from https://par.nsf.gov/biblio/10207826. Engineering Structures 229.C Web. doi:10.1016/j.engstruct.2020.111582.

Sadeghi Eshkevari, Soheil, Takáč, Martin, Pakzad, Shamim N., & Jahani, Majid. DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction. Engineering Structures, 229 (C). Retrieved from https://par.nsf.gov/biblio/10207826. https://doi.org/10.1016/j.engstruct.2020.111582

Sadeghi Eshkevari, Soheil, Takáč, Martin, Pakzad, Shamim N., and Jahani, Majid. "DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction". Engineering Structures 229 (C). Country unknown/Code not available. https://doi.org/10.1016/j.engstruct.2020.111582. https://par.nsf.gov/biblio/10207826.

@article{osti_10207826,
place = {Country unknown/Code not available}, title = {DynNet: Physics-based neural architecture design for nonlinear structural response modeling and prediction}, url = {https://par.nsf.gov/biblio/10207826}, DOI = {10.1016/j.engstruct.2020.111582}, abstractNote = {}, journal = {Engineering Structures}, volume = {229}, number = {C}, author = {Sadeghi Eshkevari, Soheil and Takáč, Martin and Pakzad, Shamim N. and Jahani, Majid}, editor = {null} }