Publications
132
Citations
4,620
Est. group size
~4
Recurring co-author estimate
Active years
45
Publishing since 1981
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.
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
- Local Structure Determination of Silicon, Aluminum, and Lithium in an Amorphous Oxide Anode by Nuclear Magnetic Resonance
ECS Meeting Abstracts · 2025
- MRSimulator: A cross-platform, object-oriented software package for rapid solid-state NMR spectral simulation and analysis
The Journal of Chemical Physics · 2024
- Simulating multipulse NMR spectra of polycrystalline solids in the frequency domain
The Journal of Chemical Physics · 2024
- The Role of Entropy on the Electrochemistry of Entropy-Stabilized Oxides and Their Lithium Storage Mechanism
ChemRxiv · 2023
- The Role of Entropy on the Electrochemistry of Entropy-Stabilized Oxides and Their Lithium Storage Mechanism
ECS Meeting Abstracts · 2023
- Sodium diffusion in heterogeneous porous media: Connecting laboratory experiments and simulations
Geochimica et Cosmochimica Acta · 2022
- Phase separation in alkali silicate glasses detected through inverse Laplace transform of <sup>29</sup> Si nuclear magnetic resonance echo train decay
Journal of Materials Chemistry C · 2022
- Phase Separation in Alkali Silicate Glasses detected through Inverse Laplace Transform of Si-29 π-Pulse Echo Train Decay
Zenodo (CERN European Organization for Nuclear Research) · 2022
- (Invited) Discovery of New Capacity Fade Mechanism in Lixsn Batteries with Derivativeoperando (dOp) NMR Spectroscopy
ECS Meeting Abstracts · 2022
- Silicon-29 echo train coherence lifetimes and geminal <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si403.svg"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> <mml:mi>J</mml:mi> </mml:mrow> </mml:math> -couplings in network modified silicate glasses
Journal of Magnetic Resonance · 2021
- Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data
PLoS ONE · 2020
- Statistical learning of NMR tensors from 2D isotropic/anisotropic correlation nuclear magnetic resonance spectra
The Journal of Chemical Physics · 2020
- mrinversion: v0.1.0: A python package for statistical learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra
Zenodo (CERN European Organization for Nuclear Research) · 2020
- Silicon-29 NMR Experimental Datasets used in Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra
Zenodo (CERN European Organization for Nuclear Research) · 2020
- Silicon-29 Magic-Angle Flipping Nuclear Magnetic Resonance dataset for CaO•SiO2 glass
Zenodo (CERN European Organization for Nuclear Research) · 2020
- 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
- Jay H. Baltisberger
Chemistry · The Ohio State University
- Eric J. Munson
Chemistry · Purdue University West Lafayette
- Alexandar L. Hansen
Chemistry · The Ohio State University
- Yongchao Su
Chemistry · Purdue University West Lafayette
- Daniel W. Conroy
Chemistry · The Ohio State University
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.
Claim or correct this profile