4.7 Article

NWChem: Past, present, and future

期刊

JOURNAL OF CHEMICAL PHYSICS
卷 152, 期 18, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/5.0004997

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资金

  1. Embedding Quantum Computing into Many-body Frameworks for Strongly Correlated Molecular and Materials Systems project - U.S. Department of Energy (DOE), Office of Science, Office of Basic Energy Sciences, the Division of Chemical Sciences, Geosciences, a
  2. Quantum Algorithms, Software, and Architectures (QUASAR) Initiative at Pacific Northwest National Laboratory (PNNL)
  3. U.S. Office of Naval Research through the U.S. Naval Research Laboratory
  4. UK EPSRC under the Scalable Quantum Chemistry with Flexible Embedding [EP/I030662/1, EP/K038419/1]
  5. Spanish government for a Ramon y Cajal fellowship [RyC-2016-20301, PGC2018-097520-A-100, RED2018-102612-T]
  6. U.S. Department of Energy, Office of Basic Energy Sciences, Heavy Element Chemistry program [DE-SC0001136]
  7. National Science Foundation [CHE-1855470]
  8. U.S. Department of Energy [DE-SC0002139, DE-AC05-76RL01830]
  9. NSF [CHE-1746186]
  10. U.S. Department of Energy, Office of Science, Basic Energy Sciences, Chemical Sciences, Geosciences and Biosciences Division, as part of the Computational Chemistry Sciences Program [0000232253]
  11. U.S. Department of Energy's National Nuclear Security Administration [DE-NA0003525]
  12. National Natural Science Foundation of China [11574284, 11774324]
  13. CONACYT [FC-2016/2412]
  14. U.S. Department of Energy, Office of Science, Basic Energy Sciences, Early Career Program [DE-SC0017868]
  15. U.S. Department of Energy, Office of Science, Basic Energy Sciences [DE-SC0012462]
  16. Inorganometallic Catalyst Design Center, an Energy Frontier Research Center - US Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES) [DESC0012702]
  17. Office of Biological and Environmental Research
  18. DOE [DE-AC05-76RL1830]
  19. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231, DE-AC05-00OR22725]
  20. U.S. Department of Energy (DOE) [DE-AC05-00OR22725]
  21. Office of Naval Research
  22. U.S. DOE High Performance Computing and Communications Initiative
  23. Cray
  24. Intel
  25. Samsung
  26. U.S. Department of Energy (DOE) [DE-SC0017868, DE-SC0012462] Funding Source: U.S. Department of Energy (DOE)
  27. EPSRC [EP/I030662/1, EP/K038419/1] Funding Source: UKRI

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Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the past few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach, and outlook.

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