Johnson, Landon, Malone, Walter, Rizk, Jason, Chen, Renai, Gibson, Tammie, Cooper, Michael WD, and Craven, Galen T. Machine learning method to determine concentrations of structural defects in irradiated materials. Retrieved from https://par.nsf.gov/biblio/10539600. Computational Materials Science 242.C Web. doi:10.1016/j.commatsci.2024.113079.

Johnson, Landon, Malone, Walter, Rizk, Jason, Chen, Renai, Gibson, Tammie, Cooper, Michael WD, & Craven, Galen T. Machine learning method to determine concentrations of structural defects in irradiated materials. Computational Materials Science, 242 (C). Retrieved from https://par.nsf.gov/biblio/10539600. https://doi.org/10.1016/j.commatsci.2024.113079

Johnson, Landon, Malone, Walter, Rizk, Jason, Chen, Renai, Gibson, Tammie, Cooper, Michael WD, and Craven, Galen T. "Machine learning method to determine concentrations of structural defects in irradiated materials". Computational Materials Science 242 (C). Country unknown/Code not available: Science Direct. https://doi.org/10.1016/j.commatsci.2024.113079. https://par.nsf.gov/biblio/10539600.

@article{osti_10539600,
place = {Country unknown/Code not available}, title = {Machine learning method to determine concentrations of structural defects in irradiated materials}, url = {https://par.nsf.gov/biblio/10539600}, DOI = {10.1016/j.commatsci.2024.113079}, abstractNote = {}, journal = {Computational Materials Science}, volume = {242}, number = {C}, publisher = {Science Direct}, author = {Johnson, Landon and Malone, Walter and Rizk, Jason and Chen, Renai and Gibson, Tammie and Cooper, Michael WD and Craven, Galen T}, }