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researcher

S. Samir

1 paper hereh-index 215 citations3 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cond-mat.supr-con1

identity via Semantic Scholar / OpenAlex

most citedInvestigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.supr-con2023★ 5 cited

Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors

Fatin Abrar Shams, Rashed Hasan Ratul, Ahnaf Islam Naf +4

Superconductors have been among the most fascinating substances, as the fundamental concept of superconductivity as well as the correlation of critical temperature and superconduct…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.