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Paper Citation Record · LEDGER

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations

As of 15 August 2026, this Paper Citation Record lists 100 of 118 outbound references and 0 inbound Pith citation observations for arXiv:2411.19617.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.19617 v1

Coverage vector

measured 100 of 118 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T06:03:49.396927Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 118 outbound references displayed

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  • verified fuzzy0
  • unresolved68
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97c04b9e-2b5a-4a5e-8a13-bc288fc0be6e · outbound

This paper cites Hohenberg, W.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hohenberg, W

Reference 1

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Observation d4838102-3f4a-4ef9-9446-f8bb103780c6 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 2

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Observation fc8f71f7-fa39-495f-a6d4-524c974e4f8a · outbound

This paper cites Burke, Perspective on density functional theory, The Jour- nal of Chemical Physics 136 (15) (2012) 150901.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Burke, Perspective on density functional theory, The Jour- nal of Chemical Physics 136 (15) (2012) 150901

Reference 3

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Observation 172f52e9-3387-4213-bcc5-480c3f226ca2 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 4

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Observation 75731252-c889-4d82-90e3-538be8f5b716 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 5

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Observation eb8b0717-812c-4f46-94ef-5ef133fac3e9 · outbound

This paper cites Hammes-Schiffer, Exploring proton-coupled electron transfer at mul- tiple scales, Nature Computational Science 3 (4) (2023) 291–300.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hammes-Schiffer, Exploring proton-coupled electron transfer at mul- tiple scales, Nature Computational Science 3 (4) (2023) 291–300

Reference 6

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Observation a1c96a57-439b-4246-859e-b8b77a57bda9 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 7

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Observation a6d0c433-1c79-4565-935f-27f641a1414a · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 8

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Observation 17ac3b2c-c008-495c-af46-c65c2ed4bbf2 · outbound

This paper cites Huang, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Huang, J

Reference 9

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Observation 253883d4-11ff-4781-8867-be80f0a17f9d · outbound

This paper cites Zhang, X.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Zhang, X

Reference 10

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Observation 6a0b73b8-d9b2-4d6e-943a-c9b525761095 · outbound

This paper cites Cangi, S.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Cangi, S

Reference 11

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Observation b425eb0e-bbb6-4431-a508-e352945e0e97 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 12

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This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 13

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Observation 4eac16ee-2f48-43e4-a4c9-f592c7f76542 · outbound

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 14

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Observation 7e65bb3e-0448-4a3a-b6bb-df9116b568cc · outbound

This paper cites Brockherde, L.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Brockherde, L

Reference 15

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Observation 692a7c30-98e4-41ad-862b-807793a82c0f · outbound

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 16

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Observation a4233f11-7c00-4e64-8b0e-e761b15f9d6f · outbound

This paper cites Goodfellow, Y.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Goodfellow, Y

Reference 17

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Observation 18192e8f-565b-41c4-a8dc-eecc195e6748 · outbound

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

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Observation 88a6829f-01a8-4caf-a3d4-6965fa04d139 · outbound

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 21

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Observation 6b315238-dd08-4ee4-b235-65210cb0dfd7 · outbound

This paper cites Raina, A.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Raina, A

Reference 22

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This paper cites Fiedler, N.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, N

Reference 23

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This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 24

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Observation a99e8e20-6e7f-4504-8bce-c389fc8c94d6 · outbound

This paper cites Plimpton, Fast Parallel Algorithms for Short-Range Molecular Dy- namics, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Plimpton, Fast Parallel Algorithms for Short-Range Molecular Dy- namics, J

Reference 25

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Observation 29002ec8-29a0-4d57-b000-6577a180bbe9 · outbound

This paper cites Paszke, S.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Paszke, S

Reference 26

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Observation ee383559-dfa3-440a-a6a6-224755ddc3ce · outbound

This paper cites Giannozzi, S.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Giannozzi, S

Reference 27

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Observation 3e6b7bb7-0a23-4947-857c-1904125af5d0 · outbound

This paper cites Giannozzi, O.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Giannozzi, O

Reference 28

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Observation b3aab438-e414-450c-9052-07bf8e93e790 · outbound

This paper cites Giannozzi, O.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Giannozzi, O

Reference 29

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Observation 5f83b8f5-924a-446a-8e42-4fde48928cc4 · outbound

This paper cites Kresse, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Kresse, J

Reference 30

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Observation 15853293-c0d2-4384-9347-9219a000e32a · outbound

This paper cites Kresse, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Kresse, J

Reference 31

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Observation f332a5f3-2d48-4555-b44d-190f9790a22b · outbound

This paper cites Kresse, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Kresse, J

Reference 32

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Observation 5cb1b755-e201-4406-98cb-6c72a2690be3 · outbound

This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 33

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Observation 53eb6567-c7e4-4451-a8c2-00157179961d · outbound

This paper cites Virtanen, R.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Virtanen, R

Reference 34

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This paper cites an unresolved cited work.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 35

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Observation dd897ea1-3aee-470b-aaba-c385506ad75c · outbound

This paper cites Fiedler, Z.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, Z

Reference 36

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dae9f44b-6437-400b-a279-819bdd019811 · outbound

This paper cites Fiedler, Development and application of scalable density functional theory machine learning models (2024).

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, Development and application of scalable density functional theory machine learning models (2024)

Reference 37

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This paper cites Gottschalk, Calculation of pair and triplet correlation functions for a Lennard-Jones fluid at ρ∗ ≤1.41 and T ∗ ≤25, AIP Adv.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Gottschalk, Calculation of pair and triplet correlation functions for a Lennard-Jones fluid at ρ∗ ≤1.41 and T ∗ ≤25, AIP Adv

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Reference 41

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Reference 44

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This paper cites Lysogorskiy, C.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Lysogorskiy, C

Reference 45

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This paper cites Drautz, Atomic Cluster Expansion for Accurate and Transferable Interatomic Potentials, Phys.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Drautz, Atomic Cluster Expansion for Accurate and Transferable Interatomic Potentials, Phys

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This paper cites Fiedler, K.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, K

Reference 47

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Reference 48

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Musil, A

Reference 49

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Dusson, M

Reference 50

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Reference 51

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, N

Reference 52

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This paper cites Predicting electronic structures at any length scale with machine learning.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Predicting electronic structures at any length scale with machine learning

Reference 53

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This paper cites Adam: A Method for Stochastic Optimization.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Adam: A Method for Stochastic Optimization

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This paper cites Hutter, J.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hutter, J

Reference 55

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Direct Search

Reference 56

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Reference 57

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Zhang, X

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Bergstra, R

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This paper cites Akiba, S.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Akiba, S

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This paper cites Neural Architecture Search without Training.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Neural Architecture Search without Training

Reference 61

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Reference 62

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Unresolved cited work

Reference 63

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Darden, D

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This paper cites rep., University of Tennessee, Knoxville TN (1994).

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations rep., University of Tennessee, Knoxville TN (1994)

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This paper cites Nickolls, I.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Nickolls, I

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This paper cites Hutchinson, M.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hutchinson, M

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This paper cites Hacene, A.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hacene, A

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This paper cites Giannozzi, O.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Giannozzi, O

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Reference 70

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Reference 71

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Trott, L

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This paper cites A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations PyTorch Distributed: Experiences on Accelerating Data Parallel Training

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Reference 75

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This paper cites Huebl, R.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Huebl, R

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Reference 77

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Reference 78

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Reference 79

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This paper cites Donohue, Structures of the Elements, John Wiley and Sons, Inc., New York, 1974.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Donohue, Structures of the Elements, John Wiley and Sons, Inc., New York, 1974

Reference 80

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This paper cites Fiedler, A.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Fiedler, A

Reference 81

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Reference 82

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Reference 83

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Kresse, D

Reference 84

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This paper cites Nos´ e, A unified formulation of the constant temperature molecular dynamics methods, Chem.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Nos´ e, A unified formulation of the constant temperature molecular dynamics methods, Chem

Reference 85

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Reference 86

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Reference 87

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This paper cites van Setten, M.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations van Setten, M

Reference 88

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Reference 89

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Reference 90

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This paper cites Kohn, Density Functional and Density Matrix Method Scaling Lin- early with the Number of Atoms, Phys.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Kohn, Density Functional and Density Matrix Method Scaling Lin- early with the Number of Atoms, Phys

Reference 91

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Prodan, W

Reference 92

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Reference 93

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Agrawal, R

Reference 94

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Reference 95

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Pizzi, A

Reference 96

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This paper cites Uhrin, S.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Uhrin, S

Reference 97

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Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Nakata, J

Reference 98

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This paper cites Hern´ andez, M.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations Hern´ andez, M

Reference 99

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Observation e01b09b5-6c1c-48fb-9588-41ca3eac68eb · outbound

This paper cites VandeVondele, U.

Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations VandeVondele, U

Reference 100

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Pith citing papers

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