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Derek Metcalf
Group Position: Graduate Student
 
Educational Background
  • B.S. Chemical Engineering, Michigan State University, 2018
  • Ph.D. Chemistry, Georgia Tech, 2022
PhD. Thesis

     Building Blocks of Neural Network Intermolecular Interaction Potentials

Awards

     SETCA Poster Award, 2019

Research Interests
  • Machine Learning in Chemistry
  • Molecular crystals
 
Representative Publications

``Range-Dependence of Two-Body Intermolecular Interactions and Their Energy Components in Molecular Crystals,'' D. P. Metcalf, A. Smith, Z. L. Glick, and C. D. Sherrill, J. Chem. Phys. 157, 084503 (2022) (doi: 10.1063/5.0103644)

``Electron-Passing Neural Networks for Atomic Charge Prediction in Systems with Arbitrary Molecular Charge,'' D. P. Metcalf, A. Jiang, S. A. Spronk, D. L. Cheney, and C. D. Sherrill, J. Chem Inf. Model. 61, 115 (2021) (doi: 10.1021/acs.jcim.0c01071)

``AP-Net: An Atomic-Pairwise Neural Network for Smooth and Transferable Interaction Potentials,'' Z. L. Glick, D. P. Metcalf, A. Koutsoukas, S. A. Spronk, D. L. Cheney, and C. D. Sherrill, J. Chem. Phys. 153, 044112 (2020) (doi: 10.1063/5.0011521)

``Approaches for Machine Learning Intermolecular Interaction Energies and Application to Energy Components From Symmetry Adapted Perturbation Theory,'' D. P. Metcalf, A. Koutsoukas, S. A. Spronk, B. L. Claus, D. A. Loughney, S. R. Johnson, D. L. Cheney, and C. D. Sherrill, J. Chem. Phys. 152, 074103 (2020) (doi: 10.1063/1.5142636)


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