@misc{indiciae7e902262033e,
  title = {Physics augmented machine learning discovery of composition-dependent constitutive laws for 3D printed digital materials},
  author = {Yang, Steven [Cornell Univ., Ithaca, NY (United States)] (ORCID:000000028282856X) and Levin, Michal [Technion-Israel Institute of Technology, Haifa (Israel)] (ORCID:0000000349641514) and Padmanabha, Govinda Anantha [Cornell Univ., Ithaca, NY (United States)] (ORCID:0009000629561989) and Borshevsky, Miriam [Technion-Israel Institute of Technology, Haifa (Israel)] and Cohen, Ohad [Technion-Israel Institute of Technology, Haifa (Israel)] and Seidl, Daniel Thomas [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)] (ORCID:0000000245792676) and Jones, Reese Edward [Sandia National Laboratories (SNL-CA), Livermore, CA (United States)] (ORCID:0000000223326279) and Bouklas, Nikolaos [Cornell Univ., Ithaca, NY (United States); Pasteur Laboratories, Brooklyn, NY (United States)] (ORCID:0000000233495914) and Cohen, Noy [Technion-Israel Institute of Technology, Haifa (Israel)] (ORCID:000000032224640X)},
  year = {2025},
  doi = {10.1016/j.ijengsci.2025.104381},
  url = {https://www.osti.gov/biblio/2589625},
  note = {Source identifier: 2589625}
}