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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
  • RWTH Aachen University
  • Jülich Research Centre
  • Georgia Institute of Technology
  • Virginia Polytechnic Institute and State University
  • Molecular Sciences Software Institute
  • RIKEN
  • Lawrence Berkeley National Laboratory
  • Humboldt University of Berlin
  • European Theoretical Spectroscopy Facility
  • University of Twente
  • Université Grenoble Alpes
  • University of Udine
  • Pacific Northwest National Laboratory
  • Princeton University
  • NVIDIA
  • University of Strathclyde
  • University of North Carolina at Chapel Hill
  • Oak Ridge National Laboratory
  • Technical University of Denmark
  • University of Helsinki
  • University of Washington
  • Uppsala University
  • Hokkaido University
  • University of Illinois at Urbana-Champaign
  • Max Planck Institute for the Structure and Dynamics of Matter
  • PPG Industries, Inc.
  • Swiss Federal Institute of Technology Lausanne
  • Paul Scherrer Institute
  • Interuniversitair Micro-Elektronica Centrum
  • University of California at Berkeley
  • Tel Aviv University
  • Swiss Federal Institute of Technology Zurich
  • European Theoretical Spectroscopy Facility (ETSF
  • CAS - Institute of Physics
  • Wayne State University
  • Abdus Salam International Centre for Theoretical Physics
  • Purdue University
  • University of Cambridge
  • Vrije Universiteit Amsterdam
  • University of California at Santa Barbara
  • University of Stuttgart
  • Iowa State University

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations

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
StatePublished - Dec 1 2024

Keywords

  • electronic structure
  • future directions
  • software

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