ARTICLES
5 Article(s)
Document(s)
Title
Kim, Jeongnim [Intel Corporation, Hillsboro, OR (United States)]; Baczewski, Andrew T. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)]; Beaudet, Todd D. [Univ. of Virginia, Charlottesville, VA (United States). Dept. of Mechanical and Aerospace Engineering]; Benali, Anouar [Argonne National Lab. (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility; Argonne National Lab. (ANL), Argonne, IL (United States). Computational Science Division]; Bennett, M. Chandler [North Carolina State Univ., Raleigh, NC (United States). Dept. of Physics]; Berrill, Mark A. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division]; Blunt, Nick S. [University Chemical Lab., Cambridge (United Kingdom)]; Borda, Edgar Josué Landinez [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)]; Casula, Michele [Sorbonne Univ., Paris (France). Inst. de Mineralogie, de Physique des Materiaux et de Cosmochimie (IMPMC)]; Ceperley, David M. [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Chiesa, Simone [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Clark, Bryan K. [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Clay, Raymond C. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)]; Delaney, Kris T. [Univ. of California, Santa Barbara, CA (United States). Materials Research Lab.]; Dewing, Mark [Argonne National Lab. (ANL), Argonne, IL (United States). Computational Science Division]; Esler, Kenneth P. [Stone Ridge Technology, Bel Air, MD (United States)]; Hao, Hongxia [Brown Univ., Providence, RI (United States). Dept. of Chemistry]; Heinonen, Olle [Argonne National Lab. (ANL), Argonne, IL (United States). Materials Science Division; Northwestern Univ., Evanston, IL (United States). Northwestern-Argonne Inst. for Science and Engineering]; Kent, Paul R. C. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Science (CNMS); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division]; Krogel, Jaron T. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science & Technology Division]; Kylanpaa, Ilkka [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Materials Science & Technology Division]; Li, Ying Wai [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences]; Lopez, M. Graham [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computer Science and Mathematics Division]; Luo, Ye [Argonne National Lab. (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility; Argonne National Lab. (ANL), Argonne, IL (United States). Computational Science Division]; Malone, Fionn D. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)]; Martin, Richard M. [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Mathuriya, Amrita [Intel Corporation, Hillsboro, OR (United States)]; McMinis, Jeremy [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)]; Melton, Cody A. [North Carolina State Univ., Raleigh, NC (United States). Dept. of Physics]; Mitas, Lubos [North Carolina State Univ., Raleigh, NC (United States). Dept. of Physics]; Morales, Miguel A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)]; Neuscamman, Eric [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Chemical Sciences Division]; Parker, William D. [Univ. of Wisconsin-Parkside, Kenosha, WI (United States). Dept. of Mathematics and Physics]; Pineda Flores, Sergio D. [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]; Romero, Nichols A. [Argonne National Lab. (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility; Argonne National Lab. (ANL), Argonne, IL (United States). Computational Science Division]; Rubenstein, Brenda M. [Brown Univ., Providence, RI (United States). Dept. of Chemistry]; Shea, Jacqueline A. R. [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]; Shin, Hyeondeok [Argonne National Lab. (ANL), Argonne, IL (United States). Computational Science Division]; Shulenburger, Luke [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)]; Tillack, Andreas F. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Center for Computational Sciences]; Townsend, Joshua P. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)]; Tubman, Norm M. [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]; Van Der Goetz, Brett [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]; Vincent, Jordan E. [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Yang, D. ChangMo [Ulsan National Inst. of Science and Technology, Ulsan (Republic of Korea). Center for Superfunctional Materials]; Yang, Yubo [Univ. of Illinois, Urbana, IL (United States). Dept. of Physics]; Zhang, Shuai [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)]; Zhao, Luning [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]
QMCPACK is an open source quantum Monte Carlo package for ab-initio electronic structure calculations. It supports calculations of metallic and insulating solids, molecules, atoms, and some model Hamiltonians. Implemented real space quantum Monte Car...
Physical growth traits can be naturally represented by continuous functions. In a large dataset of infancy growth patterns, we develop a practical approach to infer statistical associations between growth-trajectories and IQ performance in early chil...
Background: Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help ...
Background: Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help ...