REVIEW 2 major objections 6 minor 79 references
Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
T0 review · 2 major / 6 minor · reviewed 2026-08-11 · deepseek-v4-flash
Pith's one-line read CrV precipitates in WTaCrV are semicoherent, not coherent: simulations and atom probe data agree.
desk verdict A solid, well-validated tabGAP study that likely explains the CrV/TaW vs CrTa/WV discrepancy via semicoherent interfaces; the main weakness is that the crossover curve leans on tabGAP-only semicoherent interfacial energies. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The load-bearing machinery is the tabGAP machine-learned interatomic potential for the full W-Ta-Cr-V composition space, trained on about 13,483 density functional theory structures. To explain precipitation, the authors combine the interfacial superlattice formation energy E_f/N = 2Sσ/N + ζ + $ΔE_f^{{AB}}$/N with coherency strain energies computed from Eq. 10, obtaining coherent interface energies with both DFT and tabGAP and semicoherent interface energies with tabGAP for the mismatched CrV/TaW system. The crossover curves in Fig. 14 are generated from these ingredients and are what place semicoherent CrV/TaW below coherent CrTa/VW above 2.5 to 3 nm.
What would settle it
A DFT calculation of a semicoherent CrV/TaW interface with a misfit dislocation network, or direct high-resolution transmission electron microscopy of the interfaces in the irradiated W38Ta36Cr15V11 films, would settle whether the precipitates are semicoherent. If DFT placed semicoherent CrV/TaW above coherent CrTa/VW at all sizes up to 5 nm, or if imaging showed no misfit dislocation network while precipitates were still present, the central claim would fail.
Extended reading notes
Core claim
The central claim is that the experimentally observed CrV-rich precipitates in WTaCrV form semicoherent bcc-to-bcc interfaces with the surrounding TaW-rich matrix, because coherent precipitates are unstable due to excessive lattice mismatch. The evidence is a crossover analysis: coherent CrV three-dimensional precipitates in a TaW matrix have positive formation energy of about 0.17 eV/atom at large radius, while semicoherent CrV/TaW becomes the lowest-energy configuration above 2.5 to 3 nm in slab thickness or 3 nm in radius, in the size range of the 2 to 5 nm precipitates observed by atom probe tomography. A Monte Carlo/molecular dynamics simulation starting from a random W38Ta36Cr15V11 solution with a compressed embedded precipitate produces a semicoherent precipitate with roughly 70% Cr and 30% V composition and a network of misfit dislocations, quantitatively matching the earlier experiments. The paper therefore concludes that earlier coherent-lattice simulations predicted the wrong short-range order because they excluded semicoherent interfaces.
Load-bearing premise
The conclusion that the observed precipitates must be semicoherent rests on semicoherent interfacial energies computed only with the machine-learned potential, without a DFT cross-check, and on model systems that are ideal equiatomic B2 binaries rather than the real roughly 70% Cr and 30% V precipitates.
Editorial extensions
If this is right
- If the central claim is correct, the CrV-rich precipitates seen in irradiated WTaCrV are surrounded by misfit dislocation networks, and any simulation that fixes atoms on a single coherent lattice will miss the observed short-range order.
- The crossover at 2.5 to 3 nm implies that small coherent CrV clusters are not thermodynamically stable, explaining why the experimental precipitates are 2 to 5 nm and why no smaller precipitates are observed.
- The uniform segregation rule that small atoms (Cr, V) prefer compressed regions and large atoms (Ta, Nb) prefer tensile regions extends across WTaV, WTaCrV, and MoNbTaVW, offering a simple size-based guideline for other refractory alloys.
- Grain boundary segregation in WTaV approaches TaV2 composition, suggesting grain boundaries can act as nucleation sites for Laves phases.
- In WTaCrV, Cr segregation to defects is accompanied by V to form stable CrV mixtures, making it the most segregation-resistant of the three alloys studied.
Reading between the lines
- If the crossover depends on the equiatomic B2 idealization, then for the real roughly 70% Cr and 30% V precipitates the crossover size and interfacial energy may shift; extending the calculation to non-equiatomic compositions would be a direct test.
- The semicoherent interfacial energies are currently computed only with the machine-learned potential; a DFT calculation of a misfit-dislocation-bearing CrV/TaW supercell would either confirm or revise the 2.5 to 3 nm crossover.
- The paper leaves open how semicoherent precipitates form; the proposed pathway through segregation to interstitial dislocation loops could be tested by kinetic simulations of CrV nucleation at interstitial clusters.
- If semicoherent interfaces are indeed the stable form, mechanical properties of irradiated WTaCrV such as hardening may be controlled more by misfit dislocation networks at precipitate interfaces than by short-range order alone, which would affect alloy design considerations.
Signed reviews
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript develops a tabulated Gaussian approximation potential (tabGAP) for the W–Ta–Cr–V system, validates it extensively against DFT for binary formation energies, energy-volume curves, point defects, surfaces, and grain boundaries, and then uses hybrid MC/MD simulations to study short-range order and segregation in WTaV, WTaCrV, and MoNbTaVW. Atom probe tomography of W38Ta36Cr15V11 thin films is used to characterize compositional striations in the as-deposited state and globular CrV-rich precipitates after irradiation. To explain these observations, the authors compute coherent and semicoherent interface energetics between B2-ordered CrV/TaW and CrTa/VW binaries, combining DFT coherency-strain energies with tabGAP interface energies. The resulting crossover curves in Fig. 14 indicate that coherent CrV precipitates in TaW are unstable at all sizes, and that semicoherent CrV/TaW becomes competitive with coherent CrTa/VW at thicknesses or radii around 2.5–3 nm, from which the authors conclude that the experimentally observed CrV-rich precipitates are semicoherent. The paper also draws general conclusions about segregation trends linked to pure-element surface, grain-boundary, and atomic-size properties.
Significance. If the central claim holds, the paper resolves a real discrepancy: coherent-lattice MC/MD simulations and cluster-expansion models disagree on whether CrV or CrTa ordering is preferred in WTaCrV, and the paper explains this by showing that the coherent lattice constraint selects CrTa/VW while the experimentally relevant state is semicoherent CrV/TaW. The work is strengthened by the breadth of DFT validation of the tabGAP, the iterative training on short-range-order-relevant structures, the cross-validation of two independent tabGAPs for WTaV, and the fact that the APT observations were not used as fitting input for any parameter. The conclusion that coherent CrV 3D precipitates are unstable is robust because the DFT coherency-strain energy (0.248 eV/atom) alone exceeds the combined B2 formation-energy gain of CrV and TaW (−0.08 eV/atom). The main uncertainty is quantitative: the semicoherent branch of Fig. 14, which is load-bearing for the semicoherency conclusion, rests on tabGAP-only interface energies for misfit-dislocation-bearing interfaces, and the crossover is computed for ideal equiatomic B2 binaries rather than the measured precipitate composition.
major comments (2)
- [III D 2, Fig. 14, Table IV] The semicoherent branch of Fig. 14 is the load-bearing input for the statement that CrV-rich precipitates in WTaCrV must be semicoherent, and it rests entirely on tabGAP interfacial energies: the text states that 'Semicoherent interfacial energies are always from tabGAP.' The tabGAP is validated against DFT for bulk phases, point defects, surfaces, and grain boundaries, but not for the 1/2<111> misfit dislocation networks that define these semicoherent interfaces. In Eq. (9) with ζ = 0, the interface term for a spherical precipitate is 3vσ/r; with v ≈ 12.2 Å^3 and σ in the 0.05–0.15 eV/Å^2 range reported, an uncertainty of only ±0.03 eV/Å^2 changes this term by roughly 0.04 eV/atom at r = 3 nm, which is larger than the 0.03 eV/atom asymptotic energy difference between the CrV/TaW and CrTa/VW combinations. Such an uncertainty can move the crossover outside the observed 2–5 nm precipitate-size range and thereby undermine the 'must be semicoherent' inference. I request either a DFT benchmark for at least one semicoherent interface (for example, the smallest commensurate 9:10 CrV/TaW supercell) or a systematic sensitivity analysis over σ demonstrating that the crossover location is stable to ±0.03 eV/Å^2.
- [III D 2, Figs. 13–14] The crossover calculation is performed for ideal equiatomic B2 CrV/TaW and CrTa/VW binaries, as the paper itself acknowledges with 'the theoretical crossovers are for ideal equiatomic B2 binaries.' The APT-measured precipitates, however, are approximately 70% Cr and 30% V, and the matrix is W38Ta36Cr15V11 rather than equiatomic. Off-equiatomic compositions will change both the bulk formation-energy input to Eq. (9) (the −0.08 vs −0.05 eV/atom values) and the interfacial energies. A calculation at the measured precipitate composition, or at least an explicit demonstration that the crossover is insensitive to composition, is needed before the observed precipitates can be quantitatively identified with the calculated crossover.
minor comments (6)
- [II F] Equation (9) is derived for a periodic superlattice with two interfaces, but the 3D spherical-cluster application is described only as 'we use Eq. 9.' Please state explicitly how the 3D formula is obtained (one interface, S = 4πr^2, N = V/v) and whether the factor 2 in Eq. (9) is dropped for the spherical case.
- [Table IV] Several tabulated interfacial energies are negative (for example, σ(100) = −0.055 eV/Å^2 for CrV/TaW tabGAP). A sentence explaining that these negative values reflect favorable chemical mixing across the interface rather than an unphysical negative interface energy would prevent misinterpretation.
- [Fig. 14 caption] The label 'DFT/tabGAP pred.' is used in the figure legend but is defined only in the main text; please define it in the caption as well, and state which quantities are from DFT and which are from tabGAP.
- [III C 3] The phrase 'volemetric strains' should read 'volumetric strains.'
- [III D 2] The wording 'must be semicoherent' is stronger than the evidence supports, since APT cannot resolve the misfit dislocation network and the paper notes that no high-resolution imaging was possible. 'Are predicted to be semicoherent' would better match the computational nature of the evidence.
- [References] Reference [43] is cited as 'W-Ta-Cr-V tabGAP: Potential files, training data, and input (2025)' without a repository URL or DOI; please provide the full citation so the potential and training data are actually accessible.
Circularity Check
No circularity: the central semicoherent-precipitate claim is a computed prediction compared against APT, not a re-statement of fitted inputs.
full rationale
The derivation chain is not circular. The WTaCrV tabGAP is fitted to DFT energies, forces, and virials for 13,483 structures, and the paper validates it against independent DFT data such as MC/MD frame energies (RMSE 2.54 meV/atom), vacancy migration and formation energies, binary formation energies, and grain-boundary energies. The semicoherent interfacial energies that set the crossover in Fig. 14 are predictions from this DFT-trained potential, not parameters fitted to the APT-observed precipitates; the APT data are used only as an external comparison. The conclusion that CrV-rich precipitates in WTaCrV must be semicoherent follows from the computed free-energy crossover, with the paper explicitly flagging that semicoherent interfacial energies are tabGAP-only and that the model uses ideal equiatomic B2 binaries. Those are accuracy and robustness limitations, not circular reductions. Self-citations to Refs. [11] and [19] support the tabGAP methodology and the MoNbTaVW potential, but they are not load-bearing for the new WTaCrV central claim, which is independently validated against DFT and experiment.
Assumptions & free parameters
free parameters (3)
- tabGAP hyperparameters (sparse points, cutoffs, regularization) =
M_2b=20, M_EAM=20, M_3b=300; r_cut=5 Å (2b/EAM) and 4.1 Å (3b); regularization 2 to 5 meV/atom energies, 0.1 eV/Å forces
- Chemical potentials for W, Ta, Cr, V in equiatomic WTaCrV =
mu_Cr=-9.388 eV, mu_Ta=-11.724 eV, mu_V=-9.033 eV, mu_W=-13.029 eV
- ZBL repulsive potential parameters zeta_i and eta_i =
Six parameters per element pair
assumptions (5)
- domain assumption Neglect of spin polarization in DFT training data and in the tabGAP is acceptable for WTaCrV alloys and for CrV/TaW interfaces relevant to the conclusions.
- domain assumption Equiatomic B2-ordered binary alloys CrV, TaW, CrTa, and VW are adequate model systems for the experimentally observed non-equiatomic CrV-rich precipitates and the TaW-rich matrix.
- domain assumption The tabGAP extrapolates reliably to semicoherent interfaces with misfit dislocations, for which no DFT energies are computed.
- domain assumption Hybrid MC/MD simulations at 300 K for 100,000 MD steps produce representative segregation states around defects, even though full equilibrium is not reached.
- domain assumption PBE-GGA DFT with PAW potentials is a sufficient reference for the alloy thermodynamics and interface energies.
Cite this review
Pith. "Pith review of Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys." pith.science (2026). https://pith.science/paper/IWDBMQS5
@misc{pith2026241213750,
author = {Pith},
title = {Pith review of: Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys},
year = {2026},
howpublished = {\url{https://pith.science/paper/IWDBMQS5}},
note = {Machine review of arXiv:2412.13750}
}
read the original abstract
Tungsten-based low-activation high-entropy alloys are possible candidates for next-generation fusion reactors due to their exceptional tolerance to irradiation, thermal loads, and stress. We develop an accurate and efficient machine-learned interatomic potential for the W-Ta-Cr-V system and use it in hybrid Monte Carlo molecular dynamics simulations of ordering and segregation to all common types of defects in WTaCrV. The predictions are compared to atom probe tomography analysis of segregation and precipitation in WTaCrV thin films. By also considering two other alloys, WTaV and MoNbTaVW, we are able to draw general conclusions about preferred segregation in refractory alloys and the reasons behind it, guiding future alloy design and elucidating experimental observations. We show that the experimentally observed CrV precipitates in WTaCrV form semicoherent bcc-to-bcc interfaces with the surrounding matrix, as coherent precipitates are not thermodynamically stable due to excessive lattice mismatch. The predictions from simulations align well with our atom probe tomography analysis as well as previous experimental observations.
Figures
Figures from the paper (12 more)
Reference graph
Works this paper leans on
-
[1]
[13]) as well as the A15 and Laves C14, C15, and C36 intermetallic phases
Binary alloys Figure 1 shows formation energies of binary alloys, in- cluding BCC-like random structures and ordered phases (from Ref. [13]) as well as the A15 and Laves C14, C15, and C36 intermetallic phases. The formation energies of random alloys are the averages of three different 1024- atom systems. All structures are fully relaxed (positions and cel...
-
[2]
WTaCrV alloys We used a hybrid MC/MD simulation as a test case for how accurate the tabGAP is for short-range ordered structures of WTaCrV. Figure 3 shows the energy as a function of number of MC swap attempts for a tabGAP MC/MD simulation at 300 K of a 128-atom initially random WTaCrV system. The sample contains one va- cancy to trigger some local segreg...
work page 2000
-
[3]
Pure-element properties Even though the primary purpose of the WTaCrV tabGAP is to simulate alloys, it can also be used in simu- lations of the pure metals. More importantly, some fun- damental pure-element properties can be used to either 8 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Vacancy migration energy (eV) 0 200 400Count Moving element:(a) Cr T a V W 1.5 2.0 2.5 ...
-
[4]
Grain boundaries Figure 7 shows snapshots of the nanocrystalline WTaV, WTaCrV, and MoNbTaVW systems after the 0.2 0.4 0.6 0.8 1.0 WTaV (100) WTaV (110) WTaV (111)T a V W 0.2 0.4 0.6 0.8 1.0 WTaCrV (100) WTaCrV (110) WTaCrV (111)Cr T a V W 1 3 5 7 9 0.2 0.4 0.6 0.8 1.0 MoNbTaVW (100) 1 3 5 7 9 MoNbTaVW (110) 1 3 5 7 9 MoNbTaVW (111)Mo Nb T a V W Subsurface...
-
[5]
Surfaces and voids The size difference and significant variation in surface energies of the elements in the alloys is expected to lead to segregation to surfaces and voids in order to release stress and minimise the energy. Based on Tab. II, pure Nb has the lowest surface energy followed by V and Ta. Fig. 8 shows the results of the MC/MD simulations of 11...
-
[6]
Edge and screw dislocations Fig. 10 shows the results of MC/MD relaxation of 1/2⟨1 1 1⟩(1 1 0) edge dislocation dipole structures of the three alloys. We observe that the dislocation cores at- tract significant segregation, which can be correlated with the strain field induced by the edge dislocations. Fig. 10 also shows the volemetric strains around the ...
-
[7]
Dislocation loops Fig. 12 shows the results from MC/MD relaxation of both interstitial- and vacancy-type 1/2⟨1 1 1⟩prismatic dislocation loops. The results are summarised in plots of the radial concentration profiles from the centre of the loop. The same trends as for infinite edge dislocation lines are apparent: V (and Cr in WTaCrV) segregate to the comp...
-
[8]
Atom probe tomography analysis There is a remarkable discrepancy between the pre- dicted short-range order in single crystal WTaCrV by ML potentials (both here in Fig. 6 and in Ref. [20]) and that produced by the CE model in Ref. [5]. The latter predicts formation of almost pure binary clusters of Cr (∼65%) and V (∼30%) in a surrounding WTa-rich ma- trix,...
Show all 79 references
-
[9]
DFT/tabGAP pred
Coherent and semicoherent interfaces Fig. 13 shows that both the CrV-rich precipitates in the irradiated sample and the CrV- and TaW-rich layers in the as-deposited sample are only 2–5 nm in length. To analyse the interface energetics, we choose as a model system equiatomic Cr...
-
[10]
O. N. Senkov, D. B. Miracle, K. J. Chaput, and J.- P. Couzinie, Development and exploration of refractory high entropy alloys—A review, Journal of Materials Re- search33, 3092 (2018)
2018
-
[11]
Cheng, J
Z. Cheng, J. Sun, X. Gao, Y. Wang, J. Cui, T. Wang, and H. Chang, Irradiation effects in high-entropy al- loys and their applications, Journal of Alloys and Com- pounds930, 166768 (2023)
2023
-
[12]
O. N. Senkov, G. B. Wilks, D. B. Miracle, C. P. Chuang, and P. K. Liaw, Refractory high-entropy alloys, Inter- metallics18, 1758 (2010)
2010
-
[13]
O. N. Senkov, J. M. Scott, S. V. Senkova, D. B. Miracle, and C. F. Woodward, Microstructure and room temper- ature properties of a high-entropy TaNbHfZrTi alloy, Journal of Alloys and Compounds509, 6043 (2011)
2011
-
[14]
El-Atwani, N
O. El-Atwani, N. Li, M. Li, A. Devaraj, J. K. S. Baldwin, M. M. Schneider, D. Sobieraj, J. S. Wr´ obel, D. Nguyen-Manh, S. A. Maloy, and E. Martinez, Out- standing radiation resistance of tungsten-based high- entropy alloys, Science Advances5, eaav2002 (2019)
2019
-
[15]
El Atwani, H
O. El Atwani, H. T. Vo, M. A. Tunes, C. Lee, A. Al- varado, N. Krienke, J. D. Poplawsky, A. A. Kohnert, J. Gigax, W.-Y. Chen, M. Li, Y. Q. Wang, J. S. Wr´ obel, D. Nguyen-Manh, J. K. S. Baldwin, O. U. Tukac, E. Aydogan, S. Fensin, and E. Martinez, A quinary WTaCrVHf nanocrysta...
2023
-
[16]
G. Wei, J. Byggm¨ astar, J. Cui, K. Nordlund, J. Ren, and F. Djurabekova, Revealing the critical role of vana- dium in radiation damage of tungsten-based alloys, Acta Materialia274, 119991 (2024)
2024
-
[17]
S. Yin, J. Ding, M. Asta, and R. O. Ritchie, Ab initio modeling of the energy landscape for screw dislocations in body-centered cubic high-entropy alloys, npj Comput Mater6, 1 (2020)
2020
-
[18]
Kostiuchenko, F
T. Kostiuchenko, F. K¨ ormann, J. Neugebauer, and A. Shapeev, Impact of lattice relaxations on phase tran- sitions in a high-entropy alloy studied by machine- learning potentials, npj Comput Mater5, 1 (2019)
2019
-
[19]
X.-G. Li, C. Chen, H. Zheng, Y. Zuo, and S. P. Ong, Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy, npj Comput Mater6, 1 (2020)
2020
-
[20]
Byggm¨ astar, K
J. Byggm¨ astar, K. Nordlund, and F. Djurabekova, Modeling refractory high-entropy alloys with effi- cient machine-learned interatomic potentials: Defects and segregation, Phys. Rev. B104, 104101 (2021), arXiv:2106.03369
2021 arXiv
-
[21]
Fern´ andez-Caballero, J
A. Fern´ andez-Caballero, J. S. Wr´ obel, P. M. Mummery, and D. Nguyen-Manh, Short-Range Order in High En- tropy Alloys: Theoretical Formulation and Application to Mo-Nb-Ta-V-W System, J. Phase Equilib. Diffus.38, 391 (2017)
2017
-
[22]
Sobieraj, J
D. Sobieraj, J. S. Wr´ obel, T. Rygier, K. J. Kurzyd lowski, O. E. Atwani, A. Devaraj, E. M. Saez, and D. Nguyen-Manh, Chemical short-range order in derivative Cr–Ta–Ti–V–W high entropy alloys from the first-principles thermodynamic study, Phys. Chem. Chem. Phys.22, 23929 (2020)
2020
-
[23]
N. C. Smith, T.-c. Liu, Y. Xia, and C. Wolverton, Competition between long- and short-range order in size-mismatched medium-entropy alloys, Acta Materi- alia277, 120199 (2024)
2024
-
[24]
Fantin, A
A. Fantin, A. M. Manzoni, H. Springer, R. D. Ka- machali, and R. Maaß, Local lattice distortions and chemical short-range order in MoNbTaW, Materials Re- search Letters12, 346 (2024)
2024
-
[25]
Mishin, Machine-learning interatomic potentials for materials science, Acta Materialia214, 116980 (2021)
Y. Mishin, Machine-learning interatomic potentials for materials science, Acta Materialia214, 116980 (2021). 19 0 1000 2000 3000 MC swap attempts 1429 1428 1427 1426 1425 1424 Energy (eV) RMSE: 1.52 meV/atom tabGAP-WTaCrV DFT tabGAP-MoNbT aVW 0 1000 2000 3000 MC swap attempts ...
2021
-
[26]
V. L. Deringer, A. P. Bart´ ok, N. Bernstein, D. M. Wilkins, M. Ceriotti, and G. Cs´ anyi, Gaussian Process Regression for Materials and Molecules, Chem. Rev. 121, 10073 (2021)
2021
-
[27]
Behler, Perspective: Machine learning potentials for atomistic simulations, J
J. Behler, Perspective: Machine learning potentials for atomistic simulations, J. Chem. Phys.145, 170901 (2016)
2016
-
[28]
Byggm¨ astar, K
J. Byggm¨ astar, K. Nordlund, and F. Djurabekova, Sim- ple machine-learned interatomic potentials for complex alloys, Phys. Rev. Materials6, 083801 (2022)
2022
-
[29]
S. Lyu, W. Li, Y. Xia, Y. Chen, and A. H. W. Ngan, Effects of chemical randomness on strength contribu- tors and dislocation behaviors in a bcc multiprincipal element alloy, Phys. Rev. Mater.7, 073602 (2023)
2023
-
[30]
Kresse and J
G. Kresse and J. Hafner, Ab initio molecular dynamics for liquid metals, Phys. Rev. B47, 558 (1993)
1993
-
[31]
Kresse and J
G. Kresse and J. Hafner, Ab initio molecular- dynamics simulation of the liquid-metal–amorphous- semiconductor transition in germanium, Phys. Rev. B 49, 14251 (1994)
1994
-
[32]
Kresse and J
G. Kresse and J. Furthm¨ uller, Efficiency of ab-initio to- tal energy calculations for metals and semiconductors using a plane-wave basis set, Computational Materials Science6, 15 (1996)
1996
-
[33]
Kresse and J
G. Kresse and J. Furthm¨ uller, Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set, Phys. Rev. B54, 11169 (1996)
1996
-
[34]
P. E. Bl¨ ochl, Projector augmented-wave method, Phys. Rev. B50, 17953 (1994)
1994
-
[35]
Kresse and D
G. Kresse and D. Joubert, From ultrasoft pseudopoten- tials to the projector augmented-wave method, Physical Review B59, 1758 (1999)
1999
-
[36]
J. P. Perdew, K. Burke, and M. Ernzerhof, Generalized Gradient Approximation Made Simple, Phys. Rev. Lett. 77, 3865 (1996)
1996
-
[37]
H. J. Monkhorst and J. D. Pack, Special points for Brillouin-zone integrations, Phys. Rev. B13, 5188 (1976)
1976
-
[38]
Methfessel and A
M. Methfessel and A. T. Paxton, High-precision sam- pling for Brillouin-zone integration in metals, Phys. Rev. B40, 3616 (1989)
1989
-
[39]
Zhao, Defect properties in a VTaCrW equiatomic high entropy alloy (HEA) with the body centered cubic (bcc) structure, Journal of Materials Science & Tech- nology44, 133 (2020)
S. Zhao, Defect properties in a VTaCrW equiatomic high entropy alloy (HEA) with the body centered cubic (bcc) structure, Journal of Materials Science & Tech- nology44, 133 (2020)
2020
-
[40]
El-Atwani, A
O. El-Atwani, A. Alvarado, K. Unal, S. Fensin, J. Hinks, G. Greaves, J. K. S. Baldwin, S. Maloy, and E. Martinez, Helium Implantation Damage Resistance in Nanocrys- talline W-Ta-V-Cr High Entropy Alloys, Materials To- day Energy , 100599 (2020)
2020
-
[41]
Hafner, D
R. Hafner, D. Spiˇ s´ ak, R. Lorenz, and J. Hafner, Mag- netic ground state of Cr in density-functional theory, Phys. Rev. B65, 184432 (2002)
2002
-
[42]
A. P. Bart´ ok, M. C. Payne, R. Kondor, and G. Cs´ anyi, Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons, Physical Review Letters104, 10.1103/PhysRevLett.104.136403 (2010)
2010 doi
-
[43]
Glielmo, C
A. Glielmo, C. Zeni, and A. De Vita, Efficient nonpara- metric n -body force fields from machine learning, Phys- ical Review B97, 10.1103/PhysRevB.97.184307 (2018)
2018 doi
-
[44]
Vandermause, S
J. Vandermause, S. B. Torrisi, S. Batzner, Y. Xie, L. Sun, A. M. Kolpak, and B. Kozinsky, On-the-fly ac- tive learning of interpretable Bayesian force fields for atomistic rare events, npj Computational Materials6, 1 (2020)
2020
-
[45]
A. P. Bart´ ok and G. Cs´ anyi, Gaussian approximation potentials: A brief tutorial introduction, International Journal of Quantum Chemistry115, 1051 (2015)
2015
-
[46]
M. S. Daw and M. I. Baskes, Embedded-atom method: Derivation and application to impurities, surfaces, and other defects in metals, Phys. Rev. B29, 6443 (1984)
1984
-
[47]
J. F. Ziegler, J. P. Biersack, and U. Littmarck, The Stopping and Range of Ions in Matter, inTreatise on Heavy-Ion Science(Pergamon, New York, 1985) pp. 93– 129
1985
-
[48]
Nordlund, N
K. Nordlund, N. Runeberg, and D. Sundholm, Repul- sive interatomic potentials calculated using Hartree- Fock and density-functional theory methods, Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms132, 45 (1997)
1997
-
[49]
Byggm¨ astar, A
J. Byggm¨ astar, A. Hamedani, K. Nordlund, and F. Djurabekova, Machine-learning interatomic poten- tial for radiation damage and defects in tungsten, Phys. Rev. B100, 144105 (2019)
2019
-
[50]
Byggm¨ astar, K
J. Byggm¨ astar, K. Nordlund, and F. Djurabekova, Gaussian approximation potentials for body-centered- cubic transition metals, Phys. Rev. Materials4, 093802 (2020)
2020
-
[51]
Starikov, P
S. Starikov, P. Grigorev, and P. A. T. Olsson, Angular- dependent interatomic potential for large-scale atom- istic simulation of W-Mo-Nb ternary alloys, Computa- tional Materials Science233, 112734 (2024). 20
2024
-
[52]
Byggm¨ astar, W-Ta-Cr-V tabGAP: Potential files, training data, and input (2025)
J. Byggm¨ astar, W-Ta-Cr-V tabGAP: Potential files, training data, and input (2025)
2025
-
[53]
Jeffries, F
J. Jeffries, F. Abdeljawad, S. Mathaudhu, E. Marquis, and E. Martinez, Prediction of defect properties in con- centrated solid solutions using a Langmuir-like model, Phys. Rev. Mater.9, 033803 (2025)
2025
-
[54]
J. S. Wrobel, A. Zhong, A. Goryaeva, D. Nguyen-Manh, A. E. Poisvert, M. Athenes, and M. C. Marinica, Data- driven sampling for predicting composition-dependent thermoelasticity, melting and defect anharmonic contri- butions in high-entropy alloys, Phys. Rev. B , submitted (2025)
2025
-
[55]
Schuler, M
T. Schuler, M. Nastar, K. Li, and C.-C. Fu, Towards ac- curate thermodynamics from random energy sampling, Acta Materialia276, 120074 (2024)
2024
-
[56]
K. Li, T. Schuler, C.-C. Fu, and M. Nastar, Vacancy formation free energy in concentrated alloys: Equilib- rium vs. random sampling, Acta Materialia281, 120355 (2024)
2024
-
[57]
Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool, Modelling Simul
A. Stukowski, Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool, Modelling Simul. Mater. Sci. Eng.18, 015012 (2010)
2010
-
[58]
Henkelman, B
G. Henkelman, B. P. Uberuaga, and H. J´ onsson, A climbing image nudged elastic band method for find- ing saddle points and minimum energy paths, J. Chem. Phys.113, 9901 (2000)
2000
-
[59]
Zheng, X.-G
H. Zheng, X.-G. Li, R. Tran, C. Chen, M. Horton, D. Winston, K. A. Persson, and S. P. Ong, Grain bound- ary properties of elemental metals, Acta Materialia186, 40 (2020)
2020
-
[60]
A. P. Thompson, H. M. Aktulga, R. Berger, D. S. Bolin- tineanu, W. M. Brown, P. S. Crozier, P. J. in ’t Veld, A. Kohlmeyer, S. G. Moore, T. D. Nguyen, R. Shan, M. J. Stevens, J. Tranchida, C. Trott, and S. J. Plimp- ton, LAMMPS - a flexible simulation tool for particle- based ...
2022
-
[61]
Hirel, Atomsk: A tool for manipulating and convert- ing atomic data files, Computer Physics Communica- tions197, 212 (2015)
P. Hirel, Atomsk: A tool for manipulating and convert- ing atomic data files, Computer Physics Communica- tions197, 212 (2015)
2015
-
[62]
A. H. Larsen, J. J. Mortensen, J. Blomqvist, I. E. Castelli, R. Christensen, Marcin Du lak, J. Friis, M. N. Groves, B. Hammer, C. Hargus, E. D. Hermes, P. C. Jennings, P. B. Jensen, J. Kermode, J. R. Kitchin, E. L. Kolsbjerg, J. Kubal, Kristen Kaasbjerg, S. Lysgaard, J. B. Mar...
2017
-
[63]
Thompson, D
K. Thompson, D. Lawrence, D. J. Larson, J. D. Ol- son, T. F. Kelly, and B. Gorman, In situ site-specific specimen preparation for atom probe tomography, Ul- tramicroscopy107, 131 (2007)
2007
-
[64]
O. C. Hellman, J. A. Vandenbroucke, J. R¨ using, D. Isheim, and D. N. Seidman, Analysis of Three- dimensional Atom-probe Data by the Proximity His- togram, Microscopy and Microanalysis6, 437 (2000)
2000
-
[65]
Ozoli¸ nˇ s, C
V. Ozoli¸ nˇ s, C. Wolverton, and A. Zunger, Effects of an- harmonic strain on the phase stability of epitaxial films and superlattices: Applications to noble metals, Phys. Rev. B57, 4816 (1998)
1998
-
[66]
Wolverton, V
C. Wolverton, V. Ozolins, and A. Zunger, Short-range- order types in binary alloys: A reflection of coherent phase stability, J. Phys.: Condens. Matter12, 2749 (2000)
2000
-
[67]
R. Tran, Z. Xu, B. Radhakrishnan, D. Winston, W. Sun, K. A. Persson, and S. P. Ong, Surface energies of ele- mental crystals, Sci Data3, 160080 (2016)
2016
-
[68]
Singh, A
P. Singh, A. V. Smirnov, and D. D. Johnson, Atomic short-range order and incipient long-range order in high- entropy alloys, Phys. Rev. B91, 224204 (2015)
2015
-
[69]
Toda-Caraballo, J
I. Toda-Caraballo, J. S. Wr´ obel, D. Nguyen-Manh, P. P´ erez, and P. E. J. Rivera-D ´ ıaz-del-Castillo, Simu- lation and Modeling in High Entropy Alloys, JOM69, 2137 (2017)
2017
-
[70]
M. Koskenniemi, Vacancy diffusion in high-entropy al- loys by a kinetic Monte Carlo methodology based on collective variable-driven hyperdynamics and machine learning, University of Helsinki (2023), mSc thesis, http://hdl.handle.net/10138/567555
2023
-
[71]
Ma, Unusual dislocation behavior in high-entropy al- loys, Scripta Materialia181, 127 (2020)
E. Ma, Unusual dislocation behavior in high-entropy al- loys, Scripta Materialia181, 127 (2020)
2020
-
[72]
Maresca and W
F. Maresca and W. A. Curtin, Mechanistic origin of high strength in refractory BCC high entropy alloys up to 1900K, Acta Materialia182, 235 (2020)
2020
-
[73]
D. Utt, S. Lee, Y. Xing, H. Jeong, A. Stukowski, S. H. Oh, G. Dehm, and K. Albe, The origin of jerky dislo- cation motion in high-entropy alloys, Nat Commun13, 4777 (2022)
2022
-
[74]
Z. T. Kloenne, J.-P. Couzini´ e, M. Heczko, R. Gr¨ oger, G. B. Viswanathan, W. A. T. Clark, and H. L. Fraser, On thebcc/B2 interface structure in a refractory high entropy alloy, Scripta Materialia223, 115071 (2023)
2023
-
[75]
Aksoy, M
D. Aksoy, M. J. McCarthy, I. Geiger, D. Apelian, H. Hahn, E. J. Lavernia, J. Luo, H. Xin, and T. J. Rupert, Chemical order transitions within extended in- terfacial segregation zones in NbMoTaW, Journal of Ap- plied Physics132, 235302 (2022)
2022
-
[76]
Y. Shi, Z. Jiang, T. Xia, Z. Wang, J. Wu, X. Cao, and K. Zhu, Deuterium retention and desorption behavior of W-Ta-Cr-V high entropy alloy, Journal of Nuclear Materials568, 153897 (2022)
2022
-
[77]
Y. Shi, Z. Jiang, T. Xia, W. Zhang, P. Yang, X. Ren, M. Wang, L. Liang, X. Cao, and K. Zhu, Helium dif- fusion and bubble evolution in single-phase tungsten- based W-Ta-Cr-V complex concentrated alloy, Journal of Nuclear Materials578, 154335 (2023)
2023
-
[78]
Kalita, I
D. Kalita, I. J´ o´ zwik, L. Kurpaska, Y. Zhang, K. Mulewska, W. Chrominski, J. O’Connell, Y. Ge, W. L. Boldman, P. D. Rack, Y. Wang, W. J. Weber, and J. Jagielski, The microstructure and He+ ion ir- radiation behavior of novel low-activation W-Ta-Cr-V refractory high entropy ...
2023
-
[79]
D. A. Pankhurst, D. Nguyen-Manh, and D. G. Petti- for, Electronic origin of structural trends across early transition-metal disilicides: Anomalous behavior of CrSi2, Phys. Rev. B69, 075113 (2004)
2004
Reviewed August 11, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.