3 papers
cond-mat.str-el2025
AI-Driven Discovery of High-Temperature Superconductors via Materials Genome Initiative and High-Throughput Screening
H. Gashmard, H. Shakeripour, M. Alaei
Inspired by nature, this study employs the Materials Genome Initiative to identify key components of HTSC superconductors. Integrating AI with high-throughput screening, we uncover…
cond-mat.supr-con2024
Driven charge density modulation by spin density wave and their coexistence interplay in SmFeAsO: A first-principles study
Toktam Morshedloo, Ali Kazempour, Hamideh Shakeripour +2
We use density functional theory to investigate effects of spin-orbit coupling and single-stripe-type antiferromagnetic (sAFM) ordering on the crystal structure and electronic prop…
cond-mat.supr-con2024
Predicting Superconducting Transition Temperature through Advanced Machine Learning and Innovative Feature Engineering
Hassan Gashmard, Hamideh Shakeripour, Mojtaba Alaei
Superconductivity is a remarkable phenomenon in condensed matter physics, which comprises a fascinating array of properties expected to revolutionize energy-related technologies an…