From the 5 of 280 papers with an AI index.
37 citations
- Rice UniversityUS80 papers
- Texas A&M UniversityUS77 papers
- Tsinghua UniversityCN77 papers
- University of Illinois ChicagoUS77 papers
- Eötvös Loránd UniversityHU75 papers
- The Ohio State UniversityUS75 papers
- University of Wisconsin–MadisonUS75 papers
- Sejong UniversityKR74 papers
- University of Science and Technology of ChinaCN74 papers
- Warsaw University of TechnologyPL74 papers
- Panjab UniversityIN73 papers
- Rutgers, The State University of New JerseyUS73 papers
9 papers · 1 filter
Complex electronic topography and magnetotransport in an in-plane ferromagnetic kagome metal
Anup Pradhan Sakhya, Richa Pokharel Madhogaria, Barun Ghosh +11
The intricate interplay between flat bands, Dirac cones, and magnetism in kagome materials has recently attracted significant attention from materials scientists, particularly in c…
DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells
Md Habibur Rahman, Maitreyo Biswas, Arun Mannodi-Kanakkithodi
We developed a framework for predicting the energies and ground state configurations of native point defects, extrinsic dopants and impurities, and defect complexes across zinc ble…
Accelerating point defect simulations using data-driven and machine learning approaches
Arun Mannodi-Kanakkithodi, Menglin Huang, Prashun Gorai +1
Point defects in solid-state materials are now routinely simulated using large supercell structures, requiring efficient quantum mechanical solutions. Data-driven and machine learn…
A general statistical framework for vacancy and self-interstitial properties in concentrated multicomponent solids
Jacob Jeffries, Hyunsoo Lee, Anter El-Azab +1
A rigorous understanding of the thermodynamic properties of point defects, namely vacancies and self-interstitials, is crucial for the discovery and screening of structural materia…
Predictive models for strain energy in condensed phase reactions
Baptiste Martin, Shukai Yao, Chunyu Li +3
Molecular modeling of thermally activated chemistry in condensed phases is essential to understand polymerization, depolymerization, and other processing steps of molecular materia…
Dependence of Radiation Induced Segregation of Cr on Sink Dimensionality and Morphology in Fe-Cr Alloys
Mohammadhossein Nahavandian, Anter El-Azab, Enrique Martinez
Radiation-induced segregation (RIS) and chemical redistribution in structural alloys can significantly degrade material performance, ultimately leading to failure. In this study, b…