Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics | Paper Citation Record

Observation f6e22da8-d4f9-4554-883e-ef907ff34690 · outbound

This paper cites To this end, the DFT data is divided into k equally sized folds with one fold serving as a test set and the remaining k-1 folds used in the likelihood function.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics To this end, the DFT data is divided into k equally sized folds with one fold serving as a test set and the remaining k-1 folds used in the likelihood function

Reference 1

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This paper cites It does this by maximizing P (⃗ α, β|⃗t), the poste- rior distribution for ⃗ αand β, conditioned on the training data, ⃗t.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics It does this by maximizing P (⃗ α, β|⃗t), the poste- rior distribution for ⃗ αand β, conditioned on the training data, ⃗t

Reference 2

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Reference 3

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Observation 6a523fbd-3b5b-441a-b6b7-6669441c1f3c · outbound

This paper cites Van der Ven, J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Van der Ven, J

Reference 4

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 5

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Reference 6

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This paper cites De Fontaine, Cluster approach to order-disorder trans- formations in alloys, in Solid state physics , Vol.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics De Fontaine, Cluster approach to order-disorder trans- formations in alloys, in Solid state physics , Vol

Reference 7

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This paper cites Drautz and M.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Drautz and M

Reference 8

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Reference 9

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 10

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Reference 11

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Reference 12

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 13

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Observation aaa720c1-7c84-4d8c-910e-87c5df328254 · outbound

This paper cites Puchala, J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Puchala, J

Reference 14

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 15

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Observation a2e6b7db-2d73-4a5b-8b14-7ce97b77e767 · outbound

This paper cites Schütt, P.-J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Schütt, P.-J

Reference 16

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 17

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Observation e97d14b7-748b-47bd-9c77-936896becea5 · outbound

This paper cites Directional Message Passing for Molecular Graphs.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Directional Message Passing for Molecular Graphs

Reference 18

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 19

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 20

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Observation 5f073d5a-0da2-41d4-aa94-003ae0550e75 · outbound

This paper cites Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Physical Review B 99, 014104 (2019).

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Physical Review B 99, 014104 (2019)

Reference 21

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 22

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Observation 41812b3b-8e78-450c-9f34-bfb20835299e · outbound

This paper cites Schütt, O.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Schütt, O

Reference 23

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Observation 1f1fb176-1bd5-4a39-a24e-fb94ebc0aa7f · outbound

This paper cites Haghighatlari, J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Haghighatlari, J

Reference 24

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This paper cites softened.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics softened

Reference 25

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This paper cites TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Reference 26

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This paper cites To minimize the risk of this occurring, gradient descent can be performed from multiple start- ing points, e.g.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics To minimize the risk of this occurring, gradient descent can be performed from multiple start- ing points, e.g

Reference 27

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Observation 7a6b4b80-fee2-43c6-b55f-50e59b162325 · outbound

This paper cites Anderson, T.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Anderson, T

Reference 28

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Observation 6e05e6cf-724d-476a-a584-719b7c71a139 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 29

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Observation 25ebb17a-0dba-46d3-864a-67f12e1ed63c · outbound

This paper cites 30 requires the calculation of the average of the masking function, ⟨η( ⃗ w)⟩ (δ) as the hyper- parameter δ is varied from 0 to ∞.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics 30 requires the calculation of the average of the masking function, ⟨η( ⃗ w)⟩ (δ) as the hyper- parameter δ is varied from 0 to ∞

Reference 30

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Observation 5e231c82-8838-4158-b9da-71b53bf18609 · outbound

This paper cites Weiler, M.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Weiler, M

Reference 31

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 32

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Observation 133c5dc9-c961-4305-a749-b0d01a1d4706 · outbound

This paper cites Van der Ven, Z.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Van der Ven, Z

Reference 33

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Observation 073c3828-f991-46b4-999b-8275baaf6d70 · outbound

This paper cites Klicpera, F.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Klicpera, F

Reference 34

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 35

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Observation bd7abdfb-4a3f-471d-b054-01ba5f90cc62 · outbound

This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 36

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This paper cites Batzner, A.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Batzner, A

Reference 37

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Observation 44177c6b-5cbc-4964-b1ff-1a69ec4b2a06 · outbound

This paper cites A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

Reference 38

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This paper cites Batatia, S.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Batatia, S

Reference 39

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Observation b2ae7158-08e6-4c7e-85f7-dfcbab02ace9 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 40

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Observation 9393fdd9-5fe8-458a-a433-3fb2b9d42ea5 · outbound

This paper cites Aldegunde, N.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Aldegunde, N

Reference 41

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Observation 5a87208b-738a-4d3c-8c58-f16117f5ee8e · outbound

This paper cites Sanchez and D.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Sanchez and D

Reference 42

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This paper cites Kadkhodaei and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kadkhodaei and J

Reference 43

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Observation a63ce474-a45a-4862-b007-c9a73eddc1c8 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 44

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Observation 3d35681f-14ed-4dd2-ac28-3e225ab041fd · outbound

This paper cites Bayesian- Ridge.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Bayesian- Ridge

Reference 45

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Observation 820e97d6-6a6f-420e-b980-3f4949d82fab · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.960788Z

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Observation cda77fd3-cab6-4257-9e25-a36c95db9e84 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 47

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Observation 4812db15-bc8b-4de9-82c3-c172aa857e7e · outbound

This paper cites van de Walle and G.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics van de Walle and G

Reference 48

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Observation 693b033e-8a7e-4dbe-909e-0e03a52311e0 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 49

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Observation 9496a6ee-8874-4f05-ac0e-d87d78dc5563 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 50

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Observation 2f08e755-44f4-4281-9ba3-e7154ad31113 · outbound

This paper cites Wolverton, V.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Wolverton, V

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.782231Z

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Observation f25647fe-2b90-4ba8-b826-4007acd8e444 · outbound

This paper cites Kohn and L.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kohn and L

Reference 52

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Observation 1969e7d6-8303-40e0-8751-61a8e303f4b5 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 53

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Observation 63645dd8-3f27-4bd8-b6bd-2e48488a4037 · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 54

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Observation a847b374-52c3-4a59-9d6e-0f720f79411c · outbound

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Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.843353Z

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Observation beea25c7-2ca1-4d26-afe8-88163366195c · outbound

This paper cites 17 to a specific ground state cone, it also offers a way of finding ECI vectors ⃗ wthat replicate the targeted ground states.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics 17 to a specific ground state cone, it also offers a way of finding ECI vectors ⃗ wthat replicate the targeted ground states

Reference 56

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Observation c2563201-772d-4f35-8768-c522bdee7653 · outbound

This paper cites Lejaeghere, G.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Lejaeghere, G

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.831545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66c0a04e-e5c5-43a7-94d9-60f24e9580bc · outbound

This paper cites Mueller and G.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Mueller and G

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.819852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5d241909-1a48-4e94-b17b-ee39ca897688 · outbound

This paper cites Kristensen and N.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kristensen and N

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.806928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa15c3d4-0476-4fb5-8468-30fb23602161 · outbound

This paper cites Wolverton, First-principles theory of 250 000-atom co- herent alloy microstructure, Modelling and Simulation in Materials Science and Engineering 8, 323 (2000).

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Wolverton, First-principles theory of 250 000-atom co- herent alloy microstructure, Modelling and Simulation in Materials Science and Engineering 8, 323 (2000)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.794634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2e617645-8e13-48ea-8354-f889aa1726aa · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.769953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff626cea-c683-430e-888c-8a812e4974f7 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.648016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 899d3559-bd7f-4050-9d9d-121d668e9955 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T22:36:19.960526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb6e166e-a706-4655-a98f-3f93e3007c92 · outbound

This paper cites Inden, Atomic ordering, Phase transformations in ma- terials , 519 (2001).

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Inden, Atomic ordering, Phase transformations in ma- terials , 519 (2001)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.742999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3d2663a-8f20-4000-b43f-5909e0fe795e · outbound

This paper cites Puchala, J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Puchala, J

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.730566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fe7fb800-36f6-4d48-a9e0-ef34c23cb9b7 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.718241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8db24a9d-ee24-4a21-9d56-53447f158005 · outbound

This paper cites Pedregosa, G.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Pedregosa, G

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.705674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 594e5369-addb-40d9-aaea-66367e1c6594 · outbound

This paper cites Vehtari and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Vehtari and J

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.693319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ca418f0-50f1-409c-8ae6-05609f3c6ddc · outbound

This paper cites Kresse and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kresse and J

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-04T22:36:20.204442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc230e1a-2956-4a99-84ac-34fd8b0541bf · outbound

This paper cites Kresse and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kresse and J

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.672535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc0eedc0-6c2f-4623-aef4-bf7dedea7a92 · outbound

This paper cites Kresse and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Kresse and J

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.659978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad891131-1bbe-493d-910e-1b528abeac8e · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.636096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20a9a808-c996-449d-92a0-e28db65d87d6 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.624366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25ab4b37-10e7-4372-96ea-49f7e7d42f65 · outbound

This paper cites Krauskopf, B.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Krauskopf, B

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.612165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 39df0077-1949-42d2-a172-dd5e26d4f28f · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.600183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0007152f-fcb7-4a72-a11f-9d2146c477ac · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.588357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 111532d1-5ca5-4357-97ec-c5a2d774b3f1 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.575488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb3b97e7-873d-44c3-aead-24e6764920b5 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.563804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 474062f0-1633-4c79-ab07-4d9f20d29aaf · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.551794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b5e81f0-8b2c-4d8a-92a5-ae814009c784 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.539961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4e1f610-99e6-4d7a-a877-31de4802ac24 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.528219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b63f24f2-e971-4c46-b958-d54c01d86132 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.515993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 78e73f1c-b4d4-42ef-b712-0b6e8398cd87 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.503822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f581954d-b3ee-48ca-852e-3db56928e0b9 · outbound

This paper cites McAlister, The al- li (aluminum- lithium) system, Bul- letin of alloy phase diagrams 3, 177 (1982).

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics McAlister, The al- li (aluminum- lithium) system, Bul- letin of alloy phase diagrams 3, 177 (1982)

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.491515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd05857f-b1af-441e-9dfb-70abab72ebb0 · outbound

This paper cites Sigli and J.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Sigli and J

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.477947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9226f32a-7d22-4947-b567-91108af67a77 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.465890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 15acf8c4-1db1-4f90-a722-5dbd981fb3d0 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.452873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cedb0b6a-6f62-4832-98fc-d3849563a338 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.439111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c512e5f1-45a1-499e-bd5e-4a4417d27863 · outbound

This paper cites Van De Walle and G.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Van De Walle and G

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:36:20.426728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1507d025-1d8d-405c-8125-f11c0734e569 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.413741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1cb380b1-0333-4f37-824c-5a57e581ac0c · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 91

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.400863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02c5bb67-c74f-4b19-a7a1-49942ae2d1d8 · outbound

This paper cites an unresolved cited work.

Bayesian Prior Construction for Uncertainty Quantification in First-Principles Statistical Mechanics Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-04T22:36:20.387173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers