LabCompass

Philip J. Grandinetti

Chemistry · The Ohio State University

Established · publishing since 1981

Publications

132

Citations

4,620

Est. group size

~4

Recurring co-author estimate

Active years

45

Publishing since 1981

Research summary
AI-generated

Philip J. Grandinetti's research uses nuclear magnetic resonance (NMR) spectroscopy—a technique that probes atomic-scale structure by observing how atomic nuclei respond to magnetic fields—to study disordered and glassy materials, including silicate glasses and battery electrode materials. His group also develops open-source software and data-format tools for simulating and analyzing complex solid-state NMR spectra. Prospective students would likely work on a mix of experimental NMR spectroscopy, computational spectral simulation, and materials characterization for energy storage and glass science applications.

Solid-state NMR spectroscopyGlass and amorphous material structureBattery/electrode materials characterizationNMR spectral simulation software developmentScientific data formats and statistical analysis methods

Publication output has fluctuated over the last decade, with a notable spike in 2020 (17 outputs, largely datasets) followed by lower and variable annual counts, averaging about 2.4 per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 4 publications172018: 4 publications182019: 4 publications192020: 17 publications17202021: 1 publication212022: 4 publications222023: 2 publications232024: 5 publications242025: 1 publication2526
Recent publications
Publishes in
  • Zenodo (CERN European Organization for Nuclear Research)×15
  • The Journal of Chemical Physics×8
  • ECS Meeting Abstracts×6
  • Journal of Materials Chemistry A×2
  • Journal of Magnetic Resonance×2
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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 19, 2026.

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