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Roadmap on methods and software for electronic structure based simulations in chemistry and materials

  • Volker Blum
  • , Ryoji Asahi
  • , Jochen Autschbach
  • , Christoph Bannwarth
  • , Gustav Bihlmayer
  • , Stefan Blügel
  • , Lori A. Burns
  • , T. Daniel Crawford
  • , William Dawson
  • , Wibe Albert de Jong
  • , Claudia Draxl
  • , Claudia Filippi
  • , Luigi Genovese
  • , Paolo Giannozzi
  • , Niranjan Govind
  • , Sharon Hammes-Schiffer
  • , Jeff R. Hammond
  • , Benjamin Hourahine
  • , Anubhav Jain
  • , Yosuke Kanai
  • Paul R.C. Kent, Ask Hjorth Larsen, Susi Lehtola, Xiaosong Li, Roland Lindh, Satoshi Maeda, Nancy Makri, Jonathan Moussa, Takahito Nakajima, Jessica A. Nash, Micael J.T. Oliveira, Pansy D. Patel, Giovanni Pizzi, Geoffrey Pourtois, Benjamin P. Pritchard, Eran Rabani, Markus Reiher, Lucia Reining, Xinguo Ren, Mariana Rossi, H. Bernhard Schlegel, Nicola Seriani, Lyudmila V. Slipchenko, Alexander Thom, Edward F. Valeev, Benoit Van Troeye, Lucas Visscher, Vojtěch Vlček, Hans Joachim Werner, David B. Williams-Young, Theresa Windus
  • Duke University
  • Nagoya University
  • University at Buffalo, The State University of New York
  • RWTH Aachen University
  • Research Centre Julich
  • College of Computing
  • Virginia Polytechnic Institute and State University
  • Molecular Sciences Software Institute
  • RIKEN Center for Computational Science
  • Ernest Orlando Lawrence Berkeley National Laboratory
  • Humboldt-Universität zu Berlin
  • European Theoretical Spectroscopy Facility
  • University of Twente
  • LTHE (UMR 5564 CNRS/IRD/Université de Grenoble)
  • and Physics University of Udine
  • Pacific Northwest National Laboratory
  • Princeton University
  • NVIDIA Helsinki Oy
  • University of Strathclyde
  • University of North Carolina
  • Oak Ridge National Laboratory
  • Technical University of Denmark
  • University of Helsinki
  • University of Washington
  • Uppsala University
  • Hokkaido University
  • University of Illinois
  • Max Planck Institute for the Structure and Dynamics of Matter
  • PPG Industries, Inc.
  • ENAC-IIC-GEL
  • Paul Scherrer Institut
  • Imec
  • University of California, Berkeley
  • Tel Aviv University
  • ETH Zurich
  • Institute of Physics Chinese Academy of Sciences
  • Wayne State University
  • Abdus Salam International Centre for Theoretical Physics
  • Purdue University
  • University of Cambridge
  • Vrije Universiteit Amsterdam
  • University of California, Santa Barbara
  • University of California
  • University of Suttgart
  • Iowa State University

Research output: Contribution to journalReview articlepeer-review

Abstract

This Roadmap article provides a succinct, comprehensive overview of the state of electronic structure (ES) methods and software for molecular and materials simulations. Seventeen distinct sections collect insights by 51 leading scientists in the field. Each contribution addresses the status of a particular area, as well as current challenges and anticipated future advances, with a particular eye towards software related aspects and providing key references for further reading. Foundational sections cover density functional theory and its implementation in real-world simulation frameworks, Green’s function based many-body perturbation theory, wave-function based and stochastic ES approaches, relativistic effects and semiempirical ES theory approaches. Subsequent sections cover nuclear quantum effects, real-time propagation of the ES, challenges for computational spectroscopy simulations, and exploration of complex potential energy surfaces. The final sections summarize practical aspects, including computational workflows for complex simulation tasks, the impact of current and future high-performance computing architectures, software engineering practices, education and training to maintain and broaden the community, as well as the status of and needs for ES based modeling from the vantage point of industry environments. Overall, the field of ES software and method development continues to unlock immense opportunities for future scientific discovery, based on the growing ability of computations to reveal complex phenomena, processes and properties that are determined by the make-up of matter at the atomic scale, with high precision.

Original languageEnglish
Article number042501
JournalElectronic Structure
Volume6
Issue number4
DOIs
Publication statusPublished - 1 Dec 2024

Keywords

  • electronic structure
  • future directions
  • software

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