23 citations · 25 across the 3 of their papers we have counts for
3 papers
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…
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…
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…