Qin, Yigong, DeWitt, Stephen, Radhakrishnan, Balasubramaniam, and Biros, George. GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure. Retrieved from https://par.nsf.gov/biblio/10585092. Journal of Computational Physics 510.C Web. doi:10.1016/j.jcp.2024.113061.

Qin, Yigong, DeWitt, Stephen, Radhakrishnan, Balasubramaniam, & Biros, George. GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure. Journal of Computational Physics, 510 (C). Retrieved from https://par.nsf.gov/biblio/10585092. https://doi.org/10.1016/j.jcp.2024.113061

Qin, Yigong, DeWitt, Stephen, Radhakrishnan, Balasubramaniam, and Biros, George. "GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure". Journal of Computational Physics 510 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jcp.2024.113061. https://par.nsf.gov/biblio/10585092.

@article{osti_10585092,
place = {Country unknown/Code not available}, title = {GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure}, url = {https://par.nsf.gov/biblio/10585092}, DOI = {10.1016/j.jcp.2024.113061}, abstractNote = {}, journal = {Journal of Computational Physics}, volume = {510}, number = {C}, publisher = {Elsevier}, author = {Qin, Yigong and DeWitt, Stephen and Radhakrishnan, Balasubramaniam and Biros, George}, }