LabCompass

Mustafa Kurban

Materials Science · Indiana University

OpenAlex ORCID
Machine Learning in Materials ScienceOrganic Electronics and PhotovoltaicsQuantum Dots Synthesis And PropertiesChalcogenide Semiconductor Thin FilmsNonlinear Optical Materials Research

Publications

95

Citations

1,488

Est. group size

—

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

Mustafa Kurban studies materials at the atomic and nanoscale using computer simulations and machine learning. The work combines quantum chemistry calculations (such as density functional theory) with data-driven and AI methods to predict and design materials for applications like hydrogen storage, gas sensing, energy storage, and organic electronics. Recent projects also build benchmark datasets to test AI models on materials and chemistry problems.

Machine learning for materials discoveryHydrogen storage and adsorption in nanoparticlesQuantum chemistry and DFT calculationsOrganic electronic and optoelectronic materialsBenchmarks for AI foundation models in materials/chemistry

Publication activity has been growing, rising from single digits in the late 2010s to a peak of around 19 papers in 2025, with an average of about 10 per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 2 publications172018: 8 publications182019: 6 publications192020: 10 publications202021: 9 publications212022: 8 publications222023: 4 publications232024: 11 publications242025: 19 publications19252026: 9 publications26
Recent publications
Publishes in
  • Materials Today Communications×6
  • arXiv (Cornell University)×5
  • Computational Materials Science×4
  • Journal of Molecular Liquids×3
  • Chemical Physics×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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