Applications of machine-learned electron densities of nucleic acids

被引:0
|
作者
Lee, Alex J. [1 ]
Rackers, Joshua A. [2 ]
Bricker, William P. [1 ]
机构
[1] Univ New Mexico, Dept Chem & Biol Engn, Albuquerque, NM USA
[2] Sandia Natl Labs, Ctr Res Comp, Albuquerque, NM USA
关键词
D O I
暂无
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
1026-Pos
引用
收藏
页码:211A / 211A
页数:1
相关论文
共 50 条
  • [1] Machine-learned electron densities of nucleic acids
    Lee, Alex J.
    Rackers, Joshua A.
    Bricker, William P.
    [J]. BIOPHYSICAL JOURNAL, 2024, 123 (03) : 499A - 499A
  • [2] Machine-learned dynamic disorder of electron transfer coupling
    Wang, Yi-Siang
    Wang, Chun-, I
    Yang, Chou-Hsun
    Hsu, Chao-Ping
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2023, 159 (03):
  • [3] Machine-learned interatomic potentials: Recent developments and prospective applications
    Eyert, Volker
    Wormald, Jonathan
    Curtin, William A.
    Wimmer, Erich
    [J]. JOURNAL OF MATERIALS RESEARCH, 2023, 38 (24) : 5079 - 5094
  • [4] Machine-learned interatomic potentials: Recent developments and prospective applications
    Volker Eyert
    Jonathan Wormald
    William A. Curtin
    Erich Wimmer
    [J]. Journal of Materials Research, 2023, 38 : 5079 - 5094
  • [5] The machine-learned radii of atoms
    Nikolaienko, Tymofii Yu.
    Bulavin, Leonid A.
    [J]. COMPUTATIONAL AND THEORETICAL CHEMISTRY, 2021, 1204
  • [6] Machine-learned electron correlation model based on frozen core approximation
    Ikabata, Yasuhiro
    Fujisawa, Ryo
    Seino, Junji
    Yoshikawa, Takeshi
    Nakai, Hiromi
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2020, 153 (18):
  • [7] Machine-Learned Premise Selection for Lean
    Piotrowski, Bartosz
    Mir, Ramon Fernandez
    Ayers, Edward
    [J]. AUTOMATED REASONING WITH ANALYTIC TABLEAUX AND RELATED METHODS, TABLEAUX 2023, 2023, 14278 : 175 - 186
  • [8] Understanding machine-learned density functionals
    Li, Li
    Snyder, John C.
    Pelaschier, Isabelle M.
    Huang, Jessica
    Niranjan, Uma-Naresh
    Duncan, Paul
    Rupp, Matthias
    Mueller, Klaus-Robert
    Burke, Kieron
    [J]. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, 2016, 116 (11) : 819 - 833
  • [9] Toward Requirements Specification for Machine-Learned Components
    Rahimi, Mona
    Guo, Jin L. C.
    Kokaly, Sahar
    Chechik, Marsha
    [J]. 2019 IEEE 27TH INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE WORKSHOPS (REW 2019), 2019, : 241 - 244
  • [10] Machine-learned prediction of the electronic fields in a crystal
    Teh, Ying Shi
    Ghosh, Swarnava
    Bhattacharya, Kaushik
    [J]. MECHANICS OF MATERIALS, 2021, 163