Apurva Mehta

Australian Library and Information Association — Australia

Materials Science · Physical Sciences

52h-index12.2kcitations325works0.72yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Magnetic and transport properties of perovskites and related materials(44), Advanced Condensed Matter Physics(35), Electronic and Structural Properties of Oxides(34), Machine Learning in Materials Science(31), Semiconductor materials and devices(22)

Publications324 total

Composition dependence of atomic order in strain-relaxed, metastable GeSn alloys
Physical Review Materials·2025
Towards generalizable deep ptychography neural networks
arXiv (Cornell University)·2025Open Access
Lived Experiences of Patients with Hypertension in Managing Daily Life Challenges: A Phenomenological Study
Indonesian Journal of Health Services·2025Open Access
Data Driven Drift Correction For Complex Optical Systems
ArXiv.org·2025Open Access
A Start to End Machine Learning Approach to Maximize Scientific Throughput from the LCLS-II-HE
Synchrotron Radiation News·2025
Glass formation during combinatorial sputtering in binary alloys
Acta Materialia·2025· 1 cited
A machine-learning-driven data labeling pipeline for scientific analysis in <i>MLExchange</i>
Journal of Applied Crystallography·2025Open Access
Correction: Materials laboratories of the future for alloys, amorphous, and composite materials
MRS Bulletin·2025Open Access
Materials laboratories of the future for alloys, amorphous, and composite materials
MRS Bulletin·2025· 3 citedOpen Access
Glass Formation During Combinatorial Sputtering in Binary Alloys
SSRN Electronic Journal·2025Open Access
Portable Cross-Facility Workflows for X-ray Ptychography
2024· 1 cited
Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys
Materials·2024· 2 citedOpen Access
Superconducting phase diagram in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Bi</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi>Ni</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>–</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> thin films: The effects of Bi stoichiometry on superconductivity
Physical Review Materials·2024Open Access
Superconducting phase diagram in Bi$_x$Ni$_{1-x}$ thin films$\colon$ the effects of Bi stoichiometry on superconductivity
arXiv (Cornell University)·2024Open Access
Probabilistic Mixture Model-Based Spectral Unmixing
Applied Sciences·2024· 1 citedOpen Access
A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community
Integrating materials and manufacturing innovation·2024· 4 citedOpen Access
Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys
arXiv (Cornell University)·2024Open Access
A general indicator for the tolerance to impurities of metals and alloys
Materialia·2024· 1 citedOpen Access
Metallic glass coating material
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2024Open Access
Physics constrained unsupervised deep learning for rapid, high resolution scanning coherent diffraction reconstruction
Scientific Reports·2023· 23 citedOpen Access
page 1 of 17Next →

Frequent Co-authors

Jason Hattrick‐Simpers(6), Florian Meirer(6), Hua Zhou(5), Yijin Liu(4), Marca M. Doeff(4), Jennifer L. Mass(4), Marine Cotte(4), Reshma R. Rao(3), Manuel J. Kolb(3), Anders Filsøe Pedersen(3), Hoydoo You(3), Zhenxing Feng(3), Livia Giordano(3), Ib Chorkendorff(3), Ifan E. L. Stephens(3), Yang Shao‐Horn(3), Sanghoon Song(3), Ryan C. Davis(3), Thomas F. Jaramillo(3), A. Gilad Kusne(3)