OSP - Open Science Platform

The Open Science Platform represents the core structural effort of MARVEL, that would not have been possible and would not exist without this NCCR. At the same time, it aims to be a world-class effort — enabled by our expertise in automatic, robust high-throughput calculations — to develop a computational facility: an infrastructure comparable to that of a synchrotron or another major brick-and-mortar installation where multiple services are offered to the scientific community. These services start with first-principles calculations: from the capability of obtaining equilibrium geometries and energetics with fail-safe "turnkey" solutions, to computational spectroscopies and microscopies, where vibrational, magnetic, and optical properties, and STM or TEM images can be obtained for a target material or molecule. The Materials Cloud portal will provide access to these capabilities, first dedicated to the Swiss community and with the HPC resources of MARVEL, and later transitioning to an Open Science model where calculations can be deployed on the cloud, with different funding models.

Group Leaders

Giovanni Pizzi

Project leader

EPFL, Lausanne

Nicola Marzari

Director

EPFL, Lausanne

Michel Kenzelmann

Group leader

PSI, Villigen PSI

This will be integrated with data-management-plan ready tools, to archive open-access research data with DOIs, with entries linked to interactive graphical interfaces to browse the data, inspect the results and how they were generated, reproduce results and allow complex data analytics offline or via the tools available on the site. The portal will also continue its mission of providing curated materials data, linked to their entire AiiDA provenance tree, and of being a hub of selected educational materials and courses delivered by experts in the field. Our effort to record and disseminate educational material will be reinforced by the close partnership with CECAM in phase II.

This project also pushes supercomputing centres to revise their traditional model of being HPC providers, since more and more cloud computing services and long-term storage need also to be provided. In this respect, it is worth to mention the enthusiastic partnership we have with CSCS, where we spearhead together the model of a Platform-as-a-Service, while working with another major tier-0 supercomputing centre, CINECA, that wants to mirror our services. Last, the use of open-source codes and open-access data also empowers the software and industrial community to build custom solutions based on our open-science framework, and allows us to ignite start-ups and business services.

Related publications (until January 2020)

A. Floris, I. Timrov, B. Himmetoglu, N. Marzari, S. de Gironcoli, M. Cococcioni, Hubbard-corrected density functional perturbation theory with ultrasoft pseudopotentials, arXiv:1910.06195, to be published in Physical Review B (2020). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Marzari / Project(s): OSP
G. Pizzi, V. Vitale, R. Arita, S. Blügel, F. Freimuth, G. Géranton, M. Gibertini, D. Gresch, C. Johnson, T. Koretsune, J. Ibañez-Azpiroz, H. Lee, J. Lihm, D. Marchand, A. Marrazzo, Y. Mokrousov, J. I. Mustafa, Y. Nohara, Y. Nomura, L. Paulatto, S. Poncé, T. Ponweiser, J. Qiao, F. Thöle, S. S. Tsirkin, M. Wierzbowska, N. Marzari, D. Vanderbilt, I. Souza, A. A. Mostofi, J. R. Yates, Wannier90 as a community code: new features and applications, Journal of Physics: Condensed Matter 32, 165902 (2020). [Open Access URL]
Group(s): Curtin, Marzari, Pizzi, Spaldin, Troyer, Yazyev / Project(s): OSP, PP6
K. Alberi, M. B. Nardelli, A. Zakutayev, L. Mitas, S. Curtarolo, A. Jain, M. Fornari, N. Marzari, I. Takeuchi, M. L. Green, M. Kanatzidis, M. F. Toney, S. Butenko, B. Meredig, S. Lany, U. Kattner, A. Davydov, E. S. Toberer, V. Stevanovic, A. Walsh, N. Park, A. Aspuru-Guzik, D. P. Tabor, J. Nelson, J. Murphy, A. Setlur, J. Gregoire, H. Li, R. Xiao, A. Ludwig, L. W. Martin, A. M. Rappe, S. Wei, J. Perkins, The 2019 materials by design roadmap, Journal of Physics D: Applied Physics 52, 013001 (2019). [Open Access URL]
Group(s): Marzari / Project(s): OSP
N. G. Hörmann, Z. Guo, F. Ambrosio, O. Andreussi, A. Pasquarello, N. Marzari, Absolute band alignment at semiconductor-water interfaces using explicit and implicit descriptions for liquid water, npj Computational Materials 5, 100 (2019). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Marzari, Pasquarello / Project(s): DD3, OSP
N. G. Hörmann, O. Andreussi, N. Marzari, Grand canonical simulations of electrochemical interfaces in implicit solvation models, The Journal of Chemical Physics 150, 041730 (2019).
Group(s): Marzari / Project(s): HP3, OSP
N. Marzari, Materials Informatics: Overview, 1–7 (2019).
Group(s): Marzari / Project(s): OSP
F. Nattino, N. Marzari, Operando XANES from first-principles and its application to iridium oxide, arXiv:1912.09769 (2019). [Open Access URL]
Group(s): Marzari / Project(s): HP3, OSP
M. Puppin, S. Polishchuk, N. Colonna, A. Crepaldi, D. N. Dirin, O. Nazarenko, R. De Gennaro, G. Gatti, S. Roth, T. Barillot, L. Poletto, R. P. Xian, L. Rettig, M. Wolf, R. Ernstorfer, M. V. Kovalenko, N. Marzari, M. Grioni, M. Chergui, Evidence of large polarons in photoemission band mapping of the perovskite semiconductor CsPbBr₃, arXiv:1909.00248 (2019). [Open Access URL]
Group(s): Marzari / Project(s): OSP
M. Uhrin, G. Pizzi, N. Mounet, N. Marzari, P. Villars, A High-Throughput Computational Study Driven by the AiiDA Materials Informatics Framework and the PAULING FILE as Reference Database, 149–170 (2019).
Group(s): Marzari, Pizzi / Project(s): OSP
V. Vitale, G. Pizzi, A. Marrazzo, J. Yates, N. Marzari, A. A. Mostofi, Automated high-throughput Wannierisation, arXiv:1909.00433 (2019). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Marzari, Pizzi / Project(s): OSP
T. Gorni, I. Timrov, S. Baroni, Spin dynamics from time-dependent density functional perturbation theory, The European Physical Journal B 91, 249 (2018). [Open Access URL]
Group(s): Pizzi / Project(s): OSP
R. Mercado, R. Fu, A. V. Yakutovich, L. Talirz, M. Haranczyk, B. Smit, In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage Applications, Chemistry of Materials 30, 5069–5086 (2018). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Smit, Pizzi / Project(s): DD4, OSP
N. Mounet, M. Gibertini, P. Schwaller, D. Campi, A. Merkys, A. Marrazzo, T. Sohier, I. E. Castelli, A. Cepellotti, G. Pizzi, N. Marzari, Two-dimensional materials from high-throughput computational exfoliation of experimentally known compounds, Nature Nanotechnology 13, 246 (2018). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Marzari / Project(s): DD3, OSP
G. Pizzi, Open-Science Platform for Computational Materials Science: AiiDA and the Materials Cloud, 1–24 (2018).
Group(s): Pizzi / Project(s): OSP
G. Pizzi, A. Togo, B. Kozinsky, Provenance, workflows, and crystallographic tools in materials science: AiiDA, spglib, and seekpath, MRS Bulletin 43, 696 (2018).
Group(s): Pizzi / Project(s): OSP
G. Prandini, A. Marrazzo, I. E. Castelli, N. Mounet, N. Marzari, Precision and efficiency in solid-state pseudopotential calculations, npj Computational Materials 4, 72 (2018). [Open Access URL]
Dataset on Materials Cloud.
Group(s): Marzari / Project(s): DD3, OSP

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