Investigating Data Reusability in Density Functional Theory Studies. - Rob Fleur; Addy Ireland; Xintong Zhao; Scott McClellan; Eric Paltoo; Tianyu Su; Channyung Lee; Yuan An; Xiaohua Hu 001; Elif Ertekin; Jane Greenberg (IEEE Big Data, 2023)

Leveraging Language Representation for Material Recommendation, Ranking, and Exploration. - Jiaxing Qu; Yuxuan Richard Xie; Kamil M. Ciesielski; Claire E. Porter; Eric S. Toberer; Elif Ertekin (CoRR, 2023)

VTAnDeM: A python toolkit for simultaneously visualizing phase stability, defect energetics, and carrier concentrations of materials. - Michael Y. Toriyama; Jiaxing Qu; Lídia C. Gomes; Elif Ertekin (Comput. Phys. Commun., 2023)

Towards MatCore: A Unified Metadata Standard for Materials Science. - Jane Greenberg; Pámela Bóveda-Aguirre; John Allison; Pietro Asinari; Maria Chan; Anand Chandrasekaran; Elif Ertekin; Emmanouel Garoufallou; Giulia Galli; Paolo Giannozzi; Feliciano Giustino; Gerhard Goldbeck; et al. (MTSR, 2024)

Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks. - Aagam Shah; Reimar Weissbach; David A. Griggs; A. John Hart; Elif Ertekin; Sameh Tawfick (CoRR, 2024)

Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation. - Kevin Han Huang; Ni Zhan 001; Elif Ertekin; Peter Orbanz; Ryan P. Adams (CoRR, 2025)

Space Group Equivariant Crystal Diffusion. - Rees Chang; Angela Pak; Alex Guerra; Ni Zhan 001; Nick Richardson; Elif Ertekin; Ryan P. Adams (CoRR, 2025)