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Materials 4.0 · Advancing materials design by high-accuracy finite-temperature first principles calculations accelerated by machine learning potentials

cordis:865855

Advancing materials design by high-accuracy finite-temperature first principles calculations accelerated by machine learning potentials

Entity type · ProjectPublic dossier · indexable21 Jul 2026, 08:42

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9direct evidenced connections
9exact-identifier edges
10referenced source snapshots
8published attributes
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Exact identifieredge:project-output:865855:0dcd6c60c102088b5b431e29
Relationshiphas_observed_output
Research outputMicrostructural origin of the simultaneous enhancements in strength and ductility of a nitrogen-doped high-entropy alloy
cordis_project_code

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Exact identifieredge:project-output:865855:0dec212101c0cdda0a23a805
Relationshiphas_observed_output
Research outputFree-energy perturbation in the exchange-correlation space accelerated by machine learning: application to silica polymorphs
cordis_project_code

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Exact identifieredge:project-output:865855:1365792f8f40c37a726bfeaf
Relationshiphas_observed_output
Research outputData for: Hydrogen diffusion in TiCr2Hx Laves phases: A combined ab initio and machine-learning-potential study
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Exact identifieredge:project-output:865855:34b76f09fbbf58bf096a71f0
Relationshiphas_observed_output
Research outputHydrogen diffusion in TiCr2H Laves phases: A combined ab initio and machine-learning-potential study
cordis_project_code

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Exact identifieredge:project-output:865855:5330863a81022aa6d497f4a2
Relationshiphas_observed_output
Research outputMachine-Learning Interatomic Potentials Achieving CCSD(T) Accuracy for Systems with Extended Covalent Networks and van der Waals Interactions
cordis_project_code

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Exact identifieredge:project-output:865855:6d38883756de036bb29f7526
Relationshiphas_observed_output
Research outputSynthesis of high-entropy hydride from the cantor alloy (fcc–CoCrFeNiMn) at extreme conditions
cordis_project_code

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Exact identifieredge:project-output:865855:93f0cd4eb333d7b15d3dfc0b
Relationshiphas_observed_output
Research outputData for: Machine-learning interatomic potentials achieving CCSD(T) accuracy for systems with extended covalent networks and van der Waals interactions
cordis_project_code

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Exact identifieredge:project-output:865855:9f791071e17c8de1ec04d511
Relationshiphas_observed_output
Research outputImpact of thermal excitations on the stabilization of the disordered VCoNi alloy
cordis_project_code

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Exact identifierclaim:funding:865855:999974747
Relationshipparticipates_in
ActorUNIVERSITY OF STUTTGART
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PUBLISHED ATTRIBUTES

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Attributes are descriptive source fields. They do not create cross-dataset identity unless an edge states that join explicitly.

Acronym
Materials 4.0
Code
865855
End Date
2025-12-31
Framework Programme
H2020
Funding
Currency: EUR · German Net Eu Contribution Cents: 200000000 · Participant Edge Count: 1 · Status: linked
Knowledge Flow
Citing Country Count: 9 · Citing Institution Count: 37 · Distinct Citing Work Count: 11 · First Observed Citation Date: 2026-02-03 · Last Observed Citation Date: 2026-07-01 · Observed Citation Edge Count: 11 · Status: bounded_observation
Research
Citation Data Output Count: 73 · Cited Output Count: 48 · First Publication Date: 2021-05-20 · Last Publication Date: 2026-04-01 · Open Access Output Count: 60 · Output Count: 73 · Status: linked · Total Citations: 671
Start Date
2021-01-01
PROVENANCE

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german-ai-research-to-transfer-index865855:output:0dcd6c60c102088b5b431e29 · cordis_project_code
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german-ai-research-to-transfer-index865855:output:0dec212101c0cdda0a23a805 · cordis_project_code
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german-ai-research-to-transfer-index865855:output:1365792f8f40c37a726bfeaf · cordis_project_code
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german-ai-research-to-transfer-index865855:output:34b76f09fbbf58bf096a71f0 · cordis_project_code
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german-ai-research-to-transfer-index865855:output:5330863a81022aa6d497f4a2 · cordis_project_code
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german-ai-research-to-transfer-index865855:output:6d38883756de036bb29f7526 · cordis_project_code
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german-ai-research-to-transfer-index865855:output:93f0cd4eb333d7b15d3dfc0b · cordis_project_code
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german-ai-research-to-transfer-index865855:output:9f791071e17c8de1ec04d511 · cordis_project_code
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german-ai-innovation-pathcordis:865855:participant:999974747 · cordis_project_code_and_participant_pic
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