Ajinkya C. Hire

Machine learning of superconducting critical temperature from Eliashberg theory

Stephen Xie, Yundi Quan, Ajinkya C. Hire et al. · npj Computational Materials · 2022 · 81 citations · Full text

Natural Sciences, Computer Science, Physics +15

Creating superconductivity in WB2 through pressure-induced metastable planar defects

Jinhyuk Lim, Ajinkya C. Hire, Yundi Quan et al. · Nature Communications · 2022 · 53 citations · Full text

Natural Sciences, Materials Science, Physics +17

Data-augmentation for graph neural network learning of the relaxed energies of unrelaxed structures

Jason Gibson, Ajinkya C. Hire, Richard G. Hennig · npj Computational Materials · 2022 · 43 citations · Full text

Natural Sciences, Computer Science, Materials Science +17

High critical field superconductivity at ambient pressure in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="normal">MoB</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:math> stabilized in the P6/mmm structure via Nb substitution

Ajinkya C. Hire, Shubham Sinha, Jinhyuk Lim et al. · Physical review. B./Physical review. B · 2022 · 12 citations · Full text

Natural Sciences, Materials Science, Physics +15

Accelerating superconductor discovery through tempered deep learning of the electron-phonon spectral function

Jason Gibson, Ajinkya C. Hire, Philip M. Dee et al. · npj Computational Materials · 2025 · 11 citations · Full text

Natural Sciences, Materials Science, Physics +16