Yang, Jonghee, Kalinin, Sergei V., Cubuk, Ekin D., Ziatdinov, Maxim, and Ahmadi, Mahshid. Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces. Retrieved from https://par.nsf.gov/biblio/10403355. MRS Bulletin 48.2 Web. doi:10.1557/s43577-023-00490-y.

Yang, Jonghee, Kalinin, Sergei V., Cubuk, Ekin D., Ziatdinov, Maxim, & Ahmadi, Mahshid. Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces. MRS Bulletin, 48 (2). Retrieved from https://par.nsf.gov/biblio/10403355. https://doi.org/10.1557/s43577-023-00490-y

Yang, Jonghee, Kalinin, Sergei V., Cubuk, Ekin D., Ziatdinov, Maxim, and Ahmadi, Mahshid. "Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces". MRS Bulletin 48 (2). Country unknown/Code not available. https://doi.org/10.1557/s43577-023-00490-y. https://par.nsf.gov/biblio/10403355.

@article{osti_10403355,
place = {Country unknown/Code not available}, title = {Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces}, url = {https://par.nsf.gov/biblio/10403355}, DOI = {10.1557/s43577-023-00490-y}, abstractNote = {}, journal = {MRS Bulletin}, volume = {48}, number = {2}, author = {Yang, Jonghee and Kalinin, Sergei V. and Cubuk, Ekin D. and Ziatdinov, Maxim and Ahmadi, Mahshid}, }