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Paul L. Houston

cornell university

55H指数
303论文数
1.0W被引数
收录论文 56
发表时间
13-HODE and 13-HOTrE, Present in the Traditional Chinese Medicine Herbal Extract di gu pi, Selectively Inhibit Platelet Function
err2026-02-03
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errDylan Simpson; Eliana Botta; Pooja Yalavarthi; Yein Ji; Krista Goerger; Paul Houston; Sky Kareht; Drewv Desai; Daniela Bolaños; Michael Holinstat
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New Permutationally Invariant Polynomial Potential Energy Surfaces for H5O2+with Fast Analytical Gradients Calculated Using Reverse Differentiation
err2026-01-01
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PREAI
errKotaru, Saikiran; Qu, Chen; Houston, Paul L.; Yu, Qi; Conte, Riccardo; Nandi, Apurba; Bowman, Joel M.
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DFT-Based Permutationally Invariant Polynomial Potentials Capture the Twists and Turns of C14H30
err2024-10-21
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errQu, Chen; Houston, Paul L.; Allison, Thomas; Schneider, Barry I.; Bowman, Joel M.
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Δ-Machine Learning to Elevate DFT-Based Potentials and a Force Field to the CCSD(T) Level Illustrated for Ethanol
err2024-10-03
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errNandi, Apurba; Pandey, Priyanka; Houston, Paul L.; Qu, Chen; Yu, Qi; Conte, Riccardo; Tkatchenko, Alexandre; Bowman, Joel M.
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No Headache for PIPs: A PIP Potential for Aspirin Runs Much Faster and with Similar Precision Than Other Machine-Learned Potentials
err2024-04-09
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errHouston, Paul L.; Qu, Chen; Yu, Qi; Pandey, Priyanka; Conte, Riccardo; Nandi, Apurba; Bowman, Joel M.
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Formic Acid-Ammonia Heterodimer: A New Δ-Machine Learning CCSD(T)-Level Potential Energy Surface Allows Investigation of the Double Proton Transfer
err2024-02-21
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PREAI
errHouston, Paul L.; Qu, Chen; Yu, Qi; Pandey, Priyanka; Conte, Riccardo; Nandi, Apurba; Bowman, Joel M.; Kukolich, Stephen G.
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Machine learning classification can significantly reduce the cost of calculating the Hamiltonian matrix in CI calculations
err2023-08-16
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errQu, Chen; Houston, Paul L.; Yu, Qi; Conte, Riccardo; Pandey, Priyanka; Nandi, Apurba; Bowman, Joel M.
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Interfacing q-AQUA with a Polarizable Force Field: The Best of Both Worlds
err2023-05-30
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errQu, Chen; Yu, Qi; Houston, Paul L.; Conte, Riccardo; Nandi, Apurba; Bowman, Joel M.
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Ring-Polymer Instanton Tunneling Splittings of Tropolone and Isotopomers using a ?-Machine Learned CCSD(T) Potential: Theory and Experiment Shake Hands
err2023-04-20
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errNandi, Apurba; Laude, Gabriel; Khire, Subodh S.; Gurav, Nalini D.; Qu, Chen; Conte, Riccardo; Yu, Qi; Li, Shuhang; Houston, Paul L.; Gadre, Shridhar R.; Richardson, Jeremy O.; Evangelista, Francesco A.; Bowman, Joel M.
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PESPIP: Software to fit complex molecular and many-body potential energy surfaces with permutationally invariant polynomials
err2023-01-24
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errHouston, Paul L. L.; Qu, Chen; Yu, Qi; Conte, Riccardo; Nandi, Apurba; Li, Jeffrey K. K.; Bowman, Joel M. M.
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?-Machine Learned Potential Energy Surfaces and Force Fields
err2022-12-17
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errBowman, Joel M.; Qu, Chen; Conte, Riccardo; Nandi, Apurba; Houston, Paul L.; Yu, Qi
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