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Benjamin J. Lynch
Researcher at University of Minnesota
Publications - 35
Citations - 6350
Benjamin J. Lynch is an academic researcher from University of Minnesota. The author has contributed to research in topics: Computer science & Density functional theory. The author has an hindex of 17, co-authored 23 publications receiving 4993 citations.
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Adiabatic connection for kinetics
TL;DR: In this paper, a hybrid Hartree−Fock−density functional (HF-DF) model called the modified Perdew−Wang 1-parameter model for kinetics (MPW1K) was optimized against a database of 20 forward barrier heights.
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Effectiveness of Diffuse Basis Functions for Calculating Relative Energies by Density Functional Theory
TL;DR: In this paper, a hybrid density functional method for sugar and sugar-like molecules, MPW1S, was presented, which is optimized for sugars and sugarlike molecules using the modified Perdew−Wang density functional.
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Development and Assessment of a New Hybrid Density Functional Model for Thermochemical Kinetics
TL;DR: In this article, a new hybrid Hartree-Fock-density functional model called the Becke88-Becke95 1-parameter model for kinetics (BB1K) was optimized against a database of three forward barrier heights, three reverse barrier heights and three energies of reaction for the reactions in the BH6 representative barrier height database.
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Reproducible brain-wide association studies require thousands of individuals
Scott Marek,Brenden Tervo-Clemmens,Finnegan J. Calabro,David F. Montez,Benjamin P Kay,Alexander S. Hatoum,Meghan Rose Donohue,Will Foran,Ryland L. Miller,Timothy Hendrickson,Stephen M. Malone,Sridhar Kandala,Eric Feczko,Oscar Miranda-Dominguez,Alice M. Graham,Eric Earl,Anders Perrone,Michaela Cordova,Olivia Doyle,Lucille A. Moore,Gregory Mark Conan,Johnny Uriarte,Katherine Allene Snider,Benjamin J. Lynch,James C. Wilgenbusch,Thomas Pengo,Angela Tam,Jianzhong Chen,Dillan J. Newbold,Annie Zheng,Nicole A Seider,Andrew N. Van,Athanasia Metoki,Roselyne Chauvin,Timothy O. Laumann,Deanna J. Greene,Steven E. Petersen,Hugh Garavan,Wesley K. Thompson,Thomas E. Nichols,B.T. Thomas Yeo,Deanna M. Barch,Beatriz Luna,Damien A. Fair,Nico U.F. Dosenbach +44 more
TL;DR: In this article , the authors used three of the largest neuroimaging datasets currently available, with a total sample size of around 50,000 individuals, to quantify brain-wide association studies effect sizes and reproducibility as a function of sample size.
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How Well Can Hybrid Density Functional Methods Predict Transition State Geometries and Barrier Heights
TL;DR: In this paper, the authors compared hybrid Hartree−Fock density functional theory to ab initio approaches for locating saddle point geometries and calculating barrier heights on a Born−Oppenhiemer potential energy surface.