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H. Gashmard

3 papers hereh-index 116 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.supr-con2
  • cond-mat.str-el1

identity via Semantic Scholar / OpenAlex

most citedPredicting Superconducting Transition Temperature through Advanced Machine Learning and Innovative Feature Engineering

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

collaborators

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★ 23 cited

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…

cond-mat.supr-con2024

Effects of Li Doping on Superconducting Properties of Citrate Gel Prepared Y1-xLixBa2Cu3O7-d Compound

Mahshid Amiri Moghadam, Hassan Gashmard, Seyed Sajjad Hosseini +2

The Y1-xLixBa2Cu3O7-d polycrystalline bulk superconductors doped with Li substituting at the Y site at different concentrations (x = 0, 0.01, 0.02, 0.1) were prepared using the cit…

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