Kim, George, Diao, Haoyan, Lee, Chanho, Samaei, A.T., Phan, Tu, de Jong, Maarten, An, Ke, Ma, Dong, Liaw, Peter K., and Chen, Wei. First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation. Retrieved from https://par.nsf.gov/biblio/10179123. Acta Materialia 181.C Web. doi:10.1016/j.actamat.2019.09.026.

Kim, George, Diao, Haoyan, Lee, Chanho, Samaei, A.T., Phan, Tu, de Jong, Maarten, An, Ke, Ma, Dong, Liaw, Peter K., & Chen, Wei. First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation. Acta Materialia, 181 (C). Retrieved from https://par.nsf.gov/biblio/10179123. https://doi.org/10.1016/j.actamat.2019.09.026

Kim, George, Diao, Haoyan, Lee, Chanho, Samaei, A.T., Phan, Tu, de Jong, Maarten, An, Ke, Ma, Dong, Liaw, Peter K., and Chen, Wei. "First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation". Acta Materialia 181 (C). Country unknown/Code not available. https://doi.org/10.1016/j.actamat.2019.09.026. https://par.nsf.gov/biblio/10179123.

@article{osti_10179123,
place = {Country unknown/Code not available}, title = {First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation}, url = {https://par.nsf.gov/biblio/10179123}, DOI = {10.1016/j.actamat.2019.09.026}, abstractNote = {}, journal = {Acta Materialia}, volume = {181}, number = {C}, author = {Kim, George and Diao, Haoyan and Lee, Chanho and Samaei, A.T. and Phan, Tu and de Jong, Maarten and An, Ke and Ma, Dong and Liaw, Peter K. and Chen, Wei}, }