Pillar 3

Published datasets resulting from Pillar 3 "Digital Infrastructure of Open Simulations and Data".

10.24435/materialscloud:qh-gt — A bridge between trust and control: Computational workflows meet automated battery cycling, by P. Kraus, E. Bainglass, F. F. Ramirez, E. Svaluto-Ferro, L. Ercole, B. Kunz, S. P. Huber, N. Plainpan, N. Marzari, C. Battaglia, G. Pizzi
Related MARVEL publication:
- P. Kraus, E. Bainglass, F. F. Ramirez, E. Svaluto-Ferro, L. Ercole, B. Kunz, S. P. Huber, N. Plainpan, N. Marzari, C. Battaglia, G. Pizzi, A Bridge between Trust and Control: Computational Workflows Meet Automated Battery Cycling, ChemRxiv. Preprint. (2023). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4
10.24435/materialscloud:x0-yf — Projectability disentanglement for accurate and automated electronic-structure Hamiltonians, by J. Qiao, G. Pizzi, N. Marzari
Related MARVEL publication:
- J. Qiao, G. Pizzi, N. Marzari, Projectability disentanglement for accurate and automated electronic-structure Hamiltonians, npj Computational Materials 9, 208 (2023). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4
10.24435/materialscloud:2f-hs — Automated mixing of maximally localized Wannier functions into target manifolds, by J. Qiao, G. Pizzi, N. Marzari
Related MARVEL publication:
- J. Qiao, G. Pizzi, N. Marzari, Automated mixing of maximally localized Wannier functions into target manifolds, npj Computational Materials 9, 206 (2023). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4
10.24435/materialscloud:8s-qh — Magnetostriction-driven muon localisation in an antiferromagnetic oxide, by P. Bonfà, I. J. Onuorah, F. Lang, I. Timrov, L. Monacelli, C. Wang, X. Sun, O. Petracic, G. Pizzi, N. Marzari, S. J. Blundell, R. De Renzi
Related MARVEL publication:
- P. Bonfà, I. J. Onuorah, F. Lang, I. Timrov, L. Monacelli, C. Wang, X. Sun, O. Petracic, G. Pizzi, N. Marzari, S. J. Blundell, R. De Renzi, Magnetostriction-Driven Muon Localization in an Antiferromagnetic Oxide, Physical Review Letters 132, 046701 (2024). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4
10.24435/materialscloud:s4-3h — How to verify the precision of density-functional-theory implementations via reproducible and universal workflows, by E. Bosoni, L. Beal, M. Bercx, P. Blaha, S. Blügel, J. Bröder, M. Callsen, S. Cottenier, A. Degomme, V. Dikan, K. Eimre, E. Flage-Larsen, M. Fornari, A. Garcia, L. Genovese, M. Giantomassi, S. P. Huber, H. Janssen, G. Kastlunger, M. Krack, G. Kresse, T. D. Kühne, K. Lejaeghere, G. K. H. Madsen, M. Marsman, N. Marzari, G. Michalicek, H. Mirhosseini, T. M. A. Müller, G. Petretto, C. J. Pickard, S. Poncé, G. Rignanese, O. Rubel, T. Ruh, M. Sluydts, D. E. P. Vanpoucke, S. Vijay, M. Wolloch, D. Wortmann, A. V. Yakutovich, J. Yu, A. Zadoks, B. Zhu, G. Pizzi
Related MARVEL publication:
- E. Bosoni, L. Beal, M. Bercx, P. Blaha, S. Blügel, J. Bröder, M. Callsen, S. Cottenier, A. Degomme, V. Dikan, K. Eimre, E. Flage-Larsen, M. Fornari, A. Garcia, L. Genovese, M. Giantomassi, S. P. Huber, H. Janssen, G. Kastlunger, M. Krack, G. Kresse, T. D. Kühne, K. Lejaeghere, G. K. H. Madsen, M. Marsman, N. Marzari, G. Michalicek, H. Mirhosseini, T. M. A. Müller, G. Petretto, C. J. Pickard, S. Poncé, G. Rignanese, O. Rubel, T. Ruh, M. Sluydts, D. E. P. Vanpoucke, S. Vijay, M. Wolloch, D. Wortmann, A. V. Yakutovich, J. Yu, A. Zadoks, B. Zhu, G. Pizzi, How to verify the precision of density-functional-theory implementations via reproducible and universal workflows, Nature Reviews Physics 6, 45 (2024). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4
10.24435/materialscloud:6w-qh — Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows, by M. Bonacci, J. Qiao, N. Spallanzani, A. Marrazzo, G. Pizzi, E. Molinari, D. Varsano, A. Ferretti, D. Prezzi
Related MARVEL publication:
- M. Bonacci, J. Qiao, N. Spallanzani, A. Marrazzo, G. Pizzi, E. Molinari, D. Varsano, A. Ferretti, D. Prezzi, Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows, npj Computational Materials 9, 74 (2023). [Open Access URL]
  Group(s): Pizzi / Project(s): P3
10.24435/materialscloud:36-nd — The Materials Cloud 2D database (MC2D), by D. Campi, N. Mounet, M. Gibertini, G. Pizzi, N. Marzari
Related MARVEL publication:
- D. Campi, N. Mounet, M. Gibertini, G. Pizzi, N. Marzari, Expansion of the Materials Cloud 2D Database, ACS Nano17, 11268–11278 (2023). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4

10.17632/26py5zz9f8.1 — OSSCAR, an open platform for collaborative development of computational tools for education in science, by J. Ballantyne
Related MARVEL publication:
- D. Du, T. J. Baird, S. Bonella, G. Pizzi, OSSCAR, an Open Platform for Collaborative Development of Computational Tools for Education in Science, Computer Physics Communications 282, 108546 (2023). [Open Access URL]
  Group(s): Bonella, Pizzi / Project(s): P3
10.24435/materialscloud:9g-k6 — Thermodynamics and dielectric response of BaTiO₃ by data-driven modeling, by L. Gigli, M. Veit, M. Kotiuga, G. Pizzi, N. Marzari, M. Ceriotti
Related MARVEL publication:
- L. Gigli, M. Veit, M. Kotiuga, G. Pizzi, N. Marzari, M. Ceriotti, Thermodynamics and dielectric response of BaTiO₃ by data-driven modeling, npj Computational Materials 8, 209 (2022). [Open Access URL]
  Group(s): Ceriotti, Marzari, Pizzi / Project(s): P2, P3, P4
10.24435/materialscloud:jc-ky — A microscopic picture of paraelectric perovskites from structural prototypes, by M. Kotiuga, S. Halilov, B. Kozinsky, M. Fornari, N. Marzari, G. Pizzi
Related MARVEL publication:
- M. Kotiuga, S. Halilov, B. Kozinsky, M. Fornari, N. Marzari, G. Pizzi, Microscopic picture of paraelectric perovskites from structural prototypes, Physical Review Research 4, L012042 (2022). [Open Access URL]
  Group(s): Marzari, Pizzi / Project(s): P3, P4, OSP
10.24435/materialscloud:m4-7f — Machine-learning accelerated identification of exfoliable two-dimensional materials, by M. Tohidi Vahdat, K. Agrawal Varoon, G. Pizzi
Related MARVEL publication:
- M. T. Vahdat, K. V. Agrawal, G. Pizzi, Machine-learning accelerated identification of exfoliable two-dimensional materials, Machine Learning: Science and Technology 3, 045014 (2022). [Open Access URL]
  Group(s): Pizzi / Project(s): P3