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Joel M. Bowman

Affiliations: 
Chemistry Emory University, Atlanta, GA 
Area:
Physical Chemistry, Atmospheric Chemistry
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Parents

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Aron Kuppermann grad student 1974 Caltech

Children

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Apurba Nandi grad student Emory
Shengli Zou grad student 2003 Emory
Xinchuan Huang grad student 2004 Emory
Tiao Xie grad student 2005 Emory
Zhong Jin grad student 2006 Emory
Jaime L. Rheinecker grad student 2006 Emory
Zhen Xie grad student 2008 Emory
Riccardo Conte post-doc Emory
Bina Fu post-doc 2009-2012 Emory
Antonio G. Sampaio de Oliveira-Filho post-doc 2013-2014 Emory

Collaborators

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Jake A. Tan collaborator 2016- Emory
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Publications

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Bowman JM, Qu C, Conte R, et al. (2025) A perspective marking 20 years of using permutationally invariant polynomials for molecular potentials. The Journal of Chemical Physics. 162
Nandi A, Conte R, Pandey P, et al. (2025) Quantum Nature of Ubiquitous Vibrational Features Revealed for Ethylene Glycol. Journal of Chemical Theory and Computation
Yu Q, Ma R, Qu C, et al. (2025) Extending atomic decomposition and many-body representation with a chemistry-motivated approach to machine learning potentials. Nature Computational Science
Qu C, Houston PL, Allison T, et al. (2025) Targeted Transferable Machine-Learned Potential for Linear Alkanes Trained on CH and Tested for CH to CH. Journal of Chemical Theory and Computation
Qu C, Houston PL, Conte R, et al. (2024) Dynamics Calculations of the Flexibility and Vibrational Spectrum of the Linear Alkane CH, Based on Machine-Learned Potentials. The Journal of Physical Chemistry. A. 128: 10713-10722
Jäger S, Khatri J, Meyer P, et al. (2024) On the nature of hydrogen bonding in the HS dimer. Nature Communications. 15: 9540
Qu C, Houston PL, Allison T, et al. (2024) DFT-Based Permutationally Invariant Polynomial Potentials Capture the Twists and Turns of CH. Journal of Chemical Theory and Computation
Nandi A, Pandey P, Houston PL, et al. (2024) Δ-Machine Learning to Elevate DFT-Based Potentials and a Force Field to the CCSD() Level Illustrated for Ethanol. Journal of Chemical Theory and Computation
Houston PL, Qu C, Fu B, et al. (2024) Calculations of Dissociation Dynamics of CHOH on a Global Potential Energy Surface Reveal the Mechanism for the Formation of HCOH; Roaming Plays a Role. The Journal of Physical Chemistry Letters. 9994-10000
Ge F, Wang R, Qu C, et al. (2024) Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Exemplified for Glycine. The Journal of Physical Chemistry Letters. 4451-4460
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