Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature | Paper Citation Record

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This paper cites George, Dierk Raabe and Robert O.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature George, Dierk Raabe and Robert O

Reference 1

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Reference 2

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This paper cites Alloys Compd.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Alloys Compd

Reference 3

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This paper cites Liaw, Gui- hong Geng and Yong Zhang, Data Science in Order and Disorder of High-Entropy Materials , Metals 15, 632 (2025).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Liaw, Gui- hong Geng and Yong Zhang, Data Science in Order and Disorder of High-Entropy Materials , Metals 15, 632 (2025)

Reference 4

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Reference 5

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This paper cites Persson, Commentary: The Mate- rials Project: A materials genome approach to accelerat- ing materials innovation , APL Mater.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Persson, Commentary: The Mate- rials Project: A materials genome approach to accelerat- ing materials innovation , APL Mater

Reference 6

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Observation f66d6053-bc55-4223-aedf-0a5b527f15fc · outbound

This paper cites 100, 90-97 (2015).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 100, 90-97 (2015)

Reference 7

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Observation 13761606-aeb3-43a1-a078-df9460e8d1b5 · outbound

This paper cites Wei, L.G.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Wei, L.G

Reference 8

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This paper cites Wolverton, Jorge Sofo, Long-Qing Chen and Zi-Kui Liu, First-principles study of binary bcc alloys using special quasirandom structures , Phys.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Wolverton, Jorge Sofo, Long-Qing Chen and Zi-Kui Liu, First-principles study of binary bcc alloys using special quasirandom structures , Phys

Reference 9

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Observation 11a41fe2-a6b0-4ae7-a095-2e7bc15dbb6a · outbound

This paper cites 57, 4716-4726 (2009).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 57, 4716-4726 (2009)

Reference 10

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Reference 11

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Observation 84423c44-d1da-4ebf-9918-3b57fa58b5a6 · outbound

This paper cites Jacques and Geoﬀroy Hautier, A map of single-phase high-entropy alloys , Nat.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Jacques and Geoﬀroy Hautier, A map of single-phase high-entropy alloys , Nat

Reference 12

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Reference 13

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Reference 14

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This paper cites 15 for Ni–Pd alloys with Pd fractions of 37.5%, 50%, and 75%.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 15 for Ni–Pd alloys with Pd fractions of 37.5%, 50%, and 75%

Reference 15

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This paper cites 255, 119031 (2023).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 255, 119031 (2023)

Reference 16

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This paper cites 281, 120415 (2024).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 281, 120415 (2024)

Reference 17

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Reference 18

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Reference 19

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This paper cites Sanchez, F.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Sanchez, F

Reference 20

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This paper cites van de Walle and G.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature van de Walle and G

Reference 21

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This paper cites van de Walle, M.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature van de Walle, M

Reference 22

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This paper cites Nataraj, A.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Nataraj, A

Reference 23

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This paper cites Landau, Eﬃcient, Multiple-Range Random Walk Algorithm to Calculate the Density of States, Phys.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Landau, Eﬃcient, Multiple-Range Random Walk Algorithm to Calculate the Density of States, Phys

Reference 24

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This paper cites Nguyen, Conrad W.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Nguyen, Conrad W

Reference 25

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This paper cites 220, 117269 (2021).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature 220, 117269 (2021)

Reference 26

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Reference 27

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This paper cites Bartók, Mike C.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Bartók, Mike C

Reference 28

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This paper cites Thompson, L.P.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Thompson, L.P

Reference 29

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This paper cites Shapeev, Moment Tensor Potentials , Mul- tiscale Model.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Shapeev, Moment Tensor Potentials , Mul- tiscale Model

Reference 30

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Reference 31

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Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 32

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This paper cites Rosenbrock, Konstantin Gubaev, Alexander V.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Rosenbrock, Konstantin Gubaev, Alexander V

Reference 33

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Reference 34

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Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

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This paper cites Springer, Nataliya Lopanitsyna, Guillaume Fraux, Sandip De and Michele Ceriotti, Surface segregation in high-entropy alloys from alchemical machine learning , J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Springer, Nataliya Lopanitsyna, Guillaume Fraux, Sandip De and Michele Ceriotti, Surface segregation in high-entropy alloys from alchemical machine learning , J

Reference 36

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Reference 37

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Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 38

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Observation ccfb5729-ea9e-44f1-867f-21d400466bad · outbound

This paper cites Shapeev, Aidan P.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Shapeev, Aidan P

Reference 39

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Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Domina, U

Reference 40

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This paper cites Domina and S.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Domina and S

Reference 41

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Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Nash and P

Reference 42

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This paper cites Castelli, Rune Christensen, Marcin Dułak, Jesper Friis, Michael N.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Castelli, Rune Christensen, Marcin Dułak, Jesper Friis, Michael N

Reference 43

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Reference 44

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This paper cites Pedregosa, G.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Pedregosa, G

Reference 45

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This paper cites Kresse and J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Kresse and J

Reference 47

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This paper cites Kresse and J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Kresse and J

Reference 48

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This paper cites Kresse and J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Kresse and J

Reference 49

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Observation ac2e4075-3cc5-4af3-93af-c67eea3ea391 · outbound

This paper cites Perdew, Kieron Burke and Matthias Ernzerhof, Generalized Gradient Approximation Made Simple , Phys.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Perdew, Kieron Burke and Matthias Ernzerhof, Generalized Gradient Approximation Made Simple , Phys

Reference 50

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This paper cites Kresse and D.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Kresse and D

Reference 51

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This paper cites Togo and I.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Togo and I

Reference 52

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Reference 53

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Observation 9f7853da-e6eb-4cbb-92ec-a8fa67427b62 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.756113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76a06542-7fb0-40bf-9633-36bc2d6f0ea4 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.738241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a292f556-e7c2-4d77-8781-4301aa8a000b · outbound

This paper cites Rossignol, M.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Rossignol, M

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.721079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 48401827-99f0-43f7-8640-e058afb91d6c · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.703198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 478ae927-03a4-4e82-be80-d158e2b3e188 · outbound

This paper cites Koyama and S.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Koyama and S

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.686163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b722178e-2d9b-4022-817d-4193c970d2ca · outbound

This paper cites Sato and R.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Sato and R

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.668284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3de3ac79-d504-409e-a6e4-1ed6ae6470e1 · outbound

This paper cites Lewis and Plamen S.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Lewis and Plamen S

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.651612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fc3d9624-bc4c-4d45-a1d5-f1b98065cfbe · outbound

This paper cites Strachil, Edward Kudrak and J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Strachil, Edward Kudrak and J

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.633523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c283619-293d-4564-9e85-901831accc70 · outbound

This paper cites Modern Electroplating.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Modern Electroplating

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.615765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f9b8d89-5082-4e2b-b116-3f70c4c2ca9c · outbound

This paper cites Taylor, Lance J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Taylor, Lance J

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.599254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdbe249a-28cf-4f85-8cd5-f2f7953983bc · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.581798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8c2aafb-f640-4101-aace-c2b9b33370b4 · outbound

This paper cites van de Walle and G.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature van de Walle and G

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.564392Z

Source-reported events for the cited work

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Observation bcdd38dc-7f09-4256-a6fd-bedd6b3498a8 · outbound

This paper cites Rhein, Philip C.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Rhein, Philip C

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.547637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7456e474-9bb6-4798-82bd-04c85c870b9d · outbound

This paper cites Sluiter, Interplay be- tween Lattice Distortions, Vibrations and Phase Stabil- ity in NbMoTaW High Entropy Alloys , Entropy 18, 403 (2016).

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Sluiter, Interplay be- tween Lattice Distortions, Vibrations and Phase Stabil- ity in NbMoTaW High Entropy Alloys , Entropy 18, 403 (2016)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.530437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36844fa0-40cb-4cad-acba-3515e8b9667d · outbound

This paper cites Tolborg, J.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Tolborg, J

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.512789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2876fc4-3c08-4ea3-b14c-6fd897ea680f · outbound

This paper cites De Fontaine, Cluster Approach to Order-Disorder Transformations in Alloys , Solid State Phys.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature De Fontaine, Cluster Approach to Order-Disorder Transformations in Alloys , Solid State Phys

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.496472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8be5c98-39cd-4d63-a23c-9085edf31bdf · outbound

This paper cites Fraenkel and A.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Fraenkel and A

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.479147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8fd1b502-bebe-4660-95cb-20fcfb72dd6f · outbound

This paper cites Sutton and S.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Sutton and S

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.460372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c49f4989-cefa-4fae-9a90-c6847ca3e9e0 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.441306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80eeb0cb-e59c-4756-a698-c2b996b514f2 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.421742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c32b4912-dc04-4b18-a27b-01b8db2e9207 · outbound

This paper cites Plata, Cormac Toher, Stefano Curtarolo, Gerbrand Ceder, Kristin A.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Plata, Cormac Toher, Stefano Curtarolo, Gerbrand Ceder, Kristin A

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.403098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 118dbb68-f239-4f42-aacf-c43d828599ac · outbound

This paper cites Chevrier, Kristin A.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Chevrier, Kristin A

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.383907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation be6a5b6d-c0ec-4909-aa4b-1f2df739af79 · outbound

This paper cites Sankaranarayanan, Elastemp: A workﬂow to compute the quasi-harmonic temperature dependent elastic constants of materials , Comput.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Sankaranarayanan, Elastemp: A workﬂow to compute the quasi-harmonic temperature dependent elastic constants of materials , Comput

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.366780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8951dcb-6d3f-49e7-8343-cfdddee33de2 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.347769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ebf73818-92b0-443b-bd1a-93c7f0f482ce · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:39.205594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1029d9b3-d6ec-4a9f-831b-e3a8481f87e4 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.315695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c91b9b78-210a-47b3-9e35-8a845c0d7f9f · outbound

This paper cites Torrisi, Simon Batzner, Yu Xie, Lixin Sun, Alexie M.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Torrisi, Simon Batzner, Yu Xie, Lixin Sun, Alexie M

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:25:39.296015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cc22302-9360-44d6-9f0d-c0158d9df108 · outbound

This paper cites an unresolved cited work.

Machine-learning approach for the phase stability and mechanical properties of disordered alloys at finite temperature Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:25:39.273595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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