Browsing SINTEF Open by Author "Vegge, Tejs"

Now showing items 1-7 of 7

    • The atomic simulation environment - A Python library for working with atoms 

      Larsen, Ask Hjorth; Mortensen, Jens Jørgen; Blomqvist, Jakob; Castelli, Ivano E.; Christensen, Rune; Dulak, Marcin; Friis, Jesper; Groves, Michael N.; Hammer, Bjørk; Hargus, Cory; Hermes, Eric D.; Jennings, Paul C.; Jensen, Peter Bjerre; Kermode, James; Kitchin, John R.; Kolsbjerg, Esben Leonhard; Kubal, Joseph; Kaasbjerg, Kristen; Lysgaard, Steen; Maronsson, Jón Bergmann; Maxson, Tristan; Olsen, Thomas; Pastewka, Lars; Peterson, Andrew; Rostgaard, Carsten; Schiøtz, Jakob; Schütt, Ole; Strange, Mikkel; Thygesen, Kristian S.; Vegge, Tejs; Vilhelmsen, Lasse; Walter, Michael N.; Zeng, Zhenhua; Jacobsen, Karsten Wedel (Peer reviewed; Journal article, 2017)
      Abstract The Atomic Simulation Environment (ASE) is a software package written in the Python programming language with the aim of setting up, steering, and analyzing atomistic simula- tions. In ASE, tasks are fully scripted ...

    • Autonomous Battery Optimization by Deploying Distributed Experiments and Simulations 

      Vogler, Monika; Steensen, Simon Krarup; Ramírez, Francisco Fernando; Merker, Leon; Busk, Jonas; Carlsson, Johan Martin; Rieger, Laura Hannemose; Zhang, Bojing; Liot, François; Pizzi, Giovanni; Hanke, Felix; Flores Cedeño, Eibar; Hajiyani, Hamidreza; Fuchs, Stefan; Sanin, Alexey; Gaberšček, Miran; Castelli, Ivano Eligio; Clark, Simon; Vegge, Tejs; Bhowmik, Arghya; Stein, Helge Sören (Peer reviewed; Journal article, 2024)
      Non-trivial relationships link individual materials properties to device-level performance. Device optimization therefore calls for new automation approaches beyond the laboratory bench with tight integration of different ...

    • Data Management Plans: the Importance of Data Management in the BIG-MAP Project 

      Castelli, Ivano; Arismendi-Arrieta, Daniel; Bhowmik, Arghya; Cekic-Laskovic, Isidora; Clark, Simon; Flores, Eibar; Flowers, Jackson; Frederiksen, Karina; Friis, Jesper; Grimaud, Alexis; Hansen, Karin; Hardwick, Laurence; Hermansson, Kersti; Lauritzen, Hanne; Le Cras, Frederic; Li, Hongjiao; Lyonnard, Sandrine; Lorrmann, Henning; Dominko, Robert; Koeniger, Lukas; Marzari, Nicola; Niedzicki, Leszek; Pizzi, Giovanni; Rahmanian, Fuzhan; Stein, Helge; Uhrin, Martin; Wenzel, Wolfgang; Winter, Martin; Woelke, Christian; Vegge, Tejs (Peer reviewed; Journal article, 2021)
      Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans for how data is managed in the projects they finance. We have recently developed such a ...

    • Materials Acceleration Platforms (MAPs) Accelerating Materials Research and Development to Meet Urgent Societal Challenges 

      Stier, Simon P.; Kreisbeck, Christoph; Ihssen, Holger; Popp, Matthias Albert; Hauch, Jens; Malek, Kourosh; Reynaud, Marine; Goumans, T.P.M.; Carlsson, Johan; Todorov, Ilian; Gold, Lukas; Räder, Andreas; Wenzel, Wolfgang; Bandesha, Shahbaz Tareq; Jacques, Philippe; Garcia-Moreno, Francisco; Arcelus, Oier; Friederich, Pascal; Clark, Simon; Maglione, Mario; Laukkanen, Anssi; Castelli, Ivano Eligio; Carrasco, Javier; Cabanas, Montserrat Casas; Stein, Helge Sören; Ozcan, Ozlem; Elbert, David; Reuter, Karsten; Scheurer, Christoph; Demura, Masahiko; Han, Sang Soo; Vegge, Tejs; Nakamae, Sawako; Fabrizio, Monica; Kozdras, Mark (Peer reviewed; Journal article, 2024)
      Climate Change and Materials Criticality challenges are driving urgent responses from global governments. These global responses drive policy to achieve sustainable, resilient, clean solutions with Advanced Materials ...

    • Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective 

      Clark, Simon; Fichtner, Maximilian; Edström, Kristina; Ayerbe, Elixabete; Berecibar, Maitane; Bhowmik, Arghya; Castelli, Ivano E.; Dominko, Roberto; Erakca, Merve; Franco, Alejandro A.; Grimaud, Alexis; Horstmann, Birger; Latz, Arnulf; Lorrmann, Henning; Meeus, Marcel; Narayan, Rekha; Pammer, Frank; Ruhland, Janna; Stein, Helge; Vegge, Tejs; Weil, Marcel (Peer reviewed; Journal article, 2021)
      The development of new batteries has historically been achieved through discovery and development cycles based on the intuition of the researcher, followed by experimental trial and error—often helped along by serendipitous ...

    • A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+ 

      Amici, Julia; Asinari, Pietro; Ayerbe, Elixabete; Barboux, Philippe; Bayle-Guillemaud, Pascale; Behm, R. Juergen; Berecibar, Maitane; Berg, Erik; Bhowmik, Arghya; Bodoardo, Silvia; Castelli, Ivano E.; Cekic-Laskovic, Isidora; Christensen, Rune; Clark, Simon; Diehm, Ralf; Dominko, Robert; Fichtner, Maximilian; Franco, Alejandro A.; Grimaud, Alexis; Guillet, Nicolas; Hahlin, Maria; Hartmann, Sarah; Heiries, Vincent; Hermansson, Kersti; Heuer, Andreas; Jana, Saibal; Jabbour, Lara; Kallo, Josef; Latz, Arnulf; Lorrmann, Henning; Løvvik, Ole Martin; Lyonnard, Sandrine; Meeus, Marcel; Paillard, Elie; Perraud, Simon; Placke, Tobias; Punckt, Christian; Raccurt, Oliver; Ruhland, Janna; Sheridan, Edel Maria; Stein, Helge; Tarascon, Jean-Marie; Trapp, Victor; Vegge, Tejs; Weil, Marcel; Wentzel, Wolfgang; Winter, Martin; Wolf, Andreas; Edström, Kristina (Peer reviewed; Journal article, 2022)
      This roadmap presents the transformational research ideas proposed by “BATTERY 2030+,” the European large-scale research initiative for future battery chemistries. A “chemistry-neutral” roadmap to advance battery research, ...

    • Understanding the patterns that neural networks learn from chemical spectra 

      Rieger, Laura Hannemose; Wilson, Max; Vegge, Tejs; Flores Cedeño, Eibar (Peer reviewed; Journal article, 2023)
      Analysing spectra from experimental characterization of materials is time consuming, susceptible to distortions in data, requires specific domain knowledge, and may be susceptible to biases in general heuristics under human ...