Get started
Author

Philip E. Klunzinger

Observed name: Philip Klunzinger
ORCID: 0009-0008-8260-6634
Observed ORCID: 0009-0008-8260-6634
OpenAlex ID: A5083400478
Multicritical points in an Ising random-field model
1986 · Miron Kaufman, Philip E. Klunzinger, et al. · Physical review. B, Condensed matter · 98
Practical Machine Learning Strategies 4: Using Neural Networks to Replicate Proton and 13C NMR Chemical Shifts Obtained from ωB97X-D/6-31G* Density Functional Calculations
2025 · Thomas Hehre, Philip E. Klunzinger, et al. · The Journal of Organic Chemistry · 7
Accurate Prediction of ωB97X-D/6-31G* Equilibrium Geometries from a Neural Net Starting from Merck Molecular Force Field (MMFF) Molecular Mechanics Geometries
2025 · Thomas Hehre, Philip Klunzinger, et al. · Journal of Chemical Information and Modeling · 7
Practical Machine Learning Strategies. I. Correcting the MMFF Molecular Mechanics Model to More Accurately Provide Conformational Energy Differences in Flexible Organic Molecules
2025 · Thomas Hehre, Philip E. Klunzinger, et al. · Journal of Computational Chemistry · 7
Practical Machine Learning Strategies. 2. Accurate Prediction of ωB97X ‐V/6‐311+G(2df,2p), ωB97M ‐V/6‐311+G(2df,2p) and ωB97M (2)/6‐311+G(2df,2p) Energies From Neural Networks Trained From ωB97X ‐D/6‐ 31G * Equilibrium Geometries and Energies
2025 · Philip Klunzinger, Thomas Hehre, et al. · Journal of Computational Chemistry · 3
Practical Machine Learning Strategies. 5. Rapid, Accurate Prediction of 1H and 13C NMR Shifts in Conformationally Flexible Organic Molecules
2026 · William Ohlinger, Philip Klunzinger, et al. · ChemRxiv
Practical Machine Learning Strategies. 5. Rapid, Accurate Prediction of 1H and 13C NMR Shifts in Conformationally Flexible Organic Molecules
2026 · William Ohlinger, Philip Klunzinger, et al. · ChemRxiv
Works count: 7
Citation count: 122
H-index: 4
I10-index: 1
Year
Topic
Type