Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials

Quantum zero-point effects have been long proposed to explain a well-known discrepancy between the low-temperature flow stresses of body-centered cubic metals and corresponding atomistic models of plastic flow. Previous investigations on quantum effects relied on empirical interatomic potentials, which poorly reproduce dislocation energy landscapes compared to density functional theory (DFT) calculations. Here, we revisit this problem using DFT and machine-learning interatomic potentials (MLIPs). We show that while quantum effects do contribute to dislocation glide at low temperature, their magnitude is much lower than previously reported, and insufficient to reconcile atomistic predictions with experiments. Our results thus reopen a long-standing question and challenge for predictive atomistic modeling, on a fundamental property of crystals.

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Publication Details

Journal
Physical Review Materials
Published
2026-10-08
DOI
https://doi.org/10.1103/ncxc-4lc3
Primary Topic
Microstructure and mechanical properties
Type
article
Field-Weighted Citation Impact
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article

Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials

Lisa Ventelon, Laurent Proville, David Rodney, Arnaud Allera et al.
Physical Review Materials
Microstructure and mechanical properties
article

Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials

Lisa Ventelon, Laurent Proville, David Rodney, Arnaud Allera, Mihai‐Cosmin Marinica
article en

Abstract

Quantum zero-point effects have been long proposed to explain a well-known discrepancy between the low-temperature flow stresses of body-centered cubic metals and corresponding atomistic models of plastic flow. Previous investigations on quantum effects relied on empirical interatomic potentials, which poorly reproduce dislocation energy landscapes compared to density functional theory (DFT) calculations. Here, we revisit this problem using DFT and machine-learning interatomic potentials (MLIPs). We show that while quantum effects do contribute to dislocation glide at low temperature, their magnitude is much lower than previously reported, and insufficient to reconcile atomistic predictions with experiments. Our results thus reopen a long-standing question and challenge for predictive atomistic modeling, on a fundamental property of crystals.

Physical Review MaterialsVol. 10(10)
Centre National de la Recherche Scientifique (FR), Université de Lyon (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), Institut Lumière Matière (FR), Autorité de sûreté nucléaire et de radioprotection (FR), Service de Recherche en Corrosion et Comportement des Matériaux (FR)
Openalex Percentile: Top 66%
Microstructure and mechanical properties
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Revisiting quantum effects on dislocation glide in bcc metals from DFT calculations and machine-learning potentials — Lisa Ventelon, Laurent Proville, et al. · Physical Review Materials (2026) | TGRS Research Map | TGRS