Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Accurate Electron-Phonon Interactions from Advanced Density Functional Theory

  • Yanyong Wang
  • , Manuel Engel
  • , Christopher Lane
  • , Yubo Zhang (Korresp. Autor*in)
  • , Henrique Miranda
  • , Lin Hou
  • , Bernardo Barbiellini
  • , Robert S. Markiewicz
  • , Jian Xin Zhu
  • , Georg Kresse
  • , Arun Bansil
  • , Jianwei Sun
  • , Ruiqi Zhang

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Abstract

Electron-phonon coupling (EPC) is key to understanding charge transport, band renormalization, and superconductivity in energy materials, including correlated transition-metal oxides, ferroelectric perovskites, optoelectronic semiconductors, and phonon-mediated superconductors. Although first-principles density functional theory (DFT)-based EPC calculations are used widely, their predictive power is limited by the accuracy, transferability, and efficiency of the underlying exchange-correlation functionals. These limitations become exacerbated in complex d- and f-electron materials, where beyond-DFT approaches and additional corrections, such as the Hubbard U, are commonly invoked. Here, using the examples of CoO and NiO, we show how the r2SCAN density functional correctly captures strong EPC effects in transition-metal oxides without requiring the introduction of Hubbard U parameters. We also find that r2SCAN successfully describes the subtle interplay between ionic and covalent bonding, and strong EPC effects in the low-temperature rhombohedral phase of the prototypical ferroelectric BaTiO3, without requiring Hubbard U and intersite V corrections. We further demonstrate the ability of r2SCAN to accurately model the EPC of the main-group semiconductor GaAs and the phonon-mediated superconducting properties of MgB2, with reliable electronic bands and phonons. Our study establishes r2SCAN-based EPC as a transferable, parameter-free, and computationally efficient framework for predictive material-specific modeling of EPC in energy materials, and opens a practical route toward high-throughput screening of superconductors, thermoelectrics, optoelectronic semiconductors, and oxide electrodes and catalysts.
OriginalspracheEnglisch
Aufsatznummer013002
Seitenumfang18
FachzeitschriftPRX Energy
Jahrgang5
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - Jan. 2026

Fördermittel

Y.W., R.Z., and J.S. acknowledge the support of the U.S. Office of Naval Research (ONR) through Grant No. N00014-22-1-2673. R.Z. and J.S. also acknowledge the support of the American Chemical Society Petroleum Research Fund through Grant No. PRF#69244-ND10. The work at Tulane University was also supported by the Advanced Cyberinfrastructure Coordination Ecosystem, funded by the National Science Foundation (NSF), and the National Energy Research Scientific Computing Center (NERSC), using NERSC Awards No. BES-ERCAP0020494 and No. BESERCAP0028709. The work at Northeastern University was supported by the NSF through the Expand-QISE award NSF-OMA-2329067 and benefited from the resources of Northeastern University’s Advanced Scientific Computation Center, the Discovery Cluster, and the Massachusetts Technology Collaborative Award No. MTC-22032. The work at Los Alamos National Laboratory (LANL) was carried out under the auspices of the U.S. Department of Energy (DOE) National Nuclear Security Administration, under Contract No. 89233218CNA000001. It was supported by the LANL Laboratory Directed Research and Development (LDRD) Program, the Quantum Science Center, a U.S. DOE Office of Science National Quantum Information Science Research Center, and in part by the Center for Integrated Nanotechnologies, a DOE Basic Energy Sciences (BES) user facility, in partnership with the LANL Institutional Computing Program for computational resources. Additional computations were performed at the NERSC, a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231, using NERSC Award No. ERCAP0020494. B.B. acknowledges support from the COST Action CA16218.R.Z., J.S., and A.B. designed the study. Y.W., M.E., and R.Z. performed first-principles computations and analyzed the data, with help from C.L., H.M., B.B., R.S.M., J.Z., G.K., A.B., and J.S. Authors A.B. and J.S. provided computational infrastructure. R.Z., Y.W, M.E., H.M., C.L., B.B, R.S.M., A.B., G.K., and J.S. wrote the manuscript, with input from all the authors. All authors contributed to editing the manuscript.The authors declare no competing financial interests.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 7 – Bezahlbare und saubere Energie
    SDG 7 – Bezahlbare und saubere Energie

ÖFOS 2012

  • 103018 Materialphysik
  • 103033 Supraleitung

Fingerprint

Untersuchen Sie die Forschungsthemen von „Accurate Electron-Phonon Interactions from Advanced Density Functional Theory“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitationsweisen