Abstract
This paper provides an overview of the new features of the finite element library deal.II, version 9.7.
| Original language | English |
|---|---|
| Pages (from-to) | 403-415 |
| Number of pages | 13 |
| Journal | Journal of Numerical Mathematics |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 1 2025 |
Funding
Research funding: deal.II and its developers are financially supported through a variety of funding sources. D. Arndt and B. Turcksin: Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy and supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Next-Generation Scientific Software Technologies program, under contract number DE-AC05-00OR22725. W. Bangerth was partially supported by the National Science Foundation under awards OAC-1835673, EAR-1925595, and OAC-2410847. W. Bangerth, T. Heister, and R. Gassmöller were partially supported by the Computational Infrastructure for Geodynamics initiative (CIG), through the National Science Foundation (NSF) under Award No. EAR-2149126 via The University of California, Davis. M. Bergbauer was supported by the German Research Foundation (DFG) under the project “High-Performance Cut Discontinuous Galerkin Methods for Flow Problems and Surface-Coupled Multiphysics Problems” Grant Agreement No. 456365667. B. Blais was supported by the National Science and Engineering Research Council of Canada (NSERC) through the RGPIN-2020-04510 Discovery Grant and the MMIAOW Canada Research Level 2 in Computer-Assisted Design and Scale-up of Alternative Energy Vectors for Sustainable Chemical Processes. M. Fehling was partially supported by the ERC-CZ grant LL2105 CONTACT, funded by the Czech Ministry of Education, Youth and Sports. He was also partially supported by the Charles University Research Centre Program No. UNCE/24/SCI/005. R. Gassmöller was also partially supported by NSF Awards EAR-1925677 and EAR-2054605. T. Heister was also partially supported by NSF Awards OAC-2015848, EAR-1925575, and OAC-2410848. M. Kronbichler was partially supported by the German Federal Ministry of Research, Technology and Space, project “PDExa: Optimized software methods for solving partial differential equations on exascale supercomputers”, grant agreement No. 16ME0637. K. L. Heltai is a member of Gruppo Nazionale per il Calcolo Scientifico (GNCS) of Istituto Nazionale di Alta Matematica (INdAM). LH was partially supported by the Italian Ministry of University and Research (MUR), under the grant MUR PRIN 2022 No. 2022WKWZA8 “Immersed methods for multiscale and multiphysics problems (IMMEDIATE)”, and acknowledges the MIUR Excellence Department Project awarded to the Department of Mathematics, University of Pisa, CUP I57G22000700001. M. Kronbichler and L. Heltai were partially supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (call HORIZON-EUROHPC-JU-2023-COE-03, grant agreement No. 101172493 “dealii-X: an Exascale Framework for Digital Twins of the Human Body”). M. Maier was partially supported by NSF Award DMS-2045636 and by the Air Force Office of Scientific Research under grant/contract number FA9550-23-1-0007. D. Wells was supported by NSF Award OAC-1931516. Charles University is acknowledged for providing computing time on the Sněhurka cluster. This research used in part resources on the Palmetto Cluster at Clemson University under National Science Foundation awards MRI 1228312, II NEW 1405767, MRI 1725573, and MRI 2018069. The views expressed in this article do not necessarily represent the views of NSF or the United States government. II and its developers are financially supported through a variety of funding sources. D. Arndt and B. Turcksin: Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy and supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Next-Generation Scientific Software Technologies program, under contract number DE-AC05-00OR22725. W. Bangerth was partially supported by the National Science Foundation under awards OAC-1835673, EAR-1925595, and OAC-2410847. W. Bangerth, T. Heister, and R. Gassmöller were partially supported by the Computational Infrastructure for Geodynamics initiative (CIG), through the National Science Foundation (NSF) under Award No. EAR-2149126 via The University of California, Davis. M. Bergbauer was supported by the German Research Foundation (DFG) under the project "High-Performance Cut Discontinuous Galerkin Methods for Flow Problems and Surface-Coupled Multiphysics Problems" Grant Agreement No. 456365667. B. Blais was supported by the National Science and Engineering Research Council of Canada (NSERC) through the RGPIN-2020-04510 Discovery Grant and the MMIAOW Canada Research Level 2 in Computer-Assisted Design and Scale-up of Alternative Energy Vectors for Sustainable Chemical Processes. M. Fehling was partially supported by the ERC-CZ grant LL2105 CONTACT, funded by the Czech Ministry of Education, Youth and Sports. He was also partially supported by the Charles University Research Centre Program No. UNCE/24/SCI/005. R. Gassmöller was also partially supported by NSF Awards EAR-1925677 and EAR-2054605. T. Heister was also partially supported by NSF Awards OAC-2015848, EAR-1925575, and OAC-2410848. M. Kronbichler was partially supported by the German Federal Ministry of Research, Technology and Space, project "PDExa: Optimized software methods for solving partial differential equations on exascale supercomputers", grant agreement No. 16ME0637. K. L. Heltai is a member of Gruppo Nazionale per il Calcolo Scientifico (GNCS) of Istituto Nazionale di Alta Matematica (INdAM). LH was partially supported by the Italian Ministry of University and Research (MUR), under the grant MUR PRIN 2022 No. 2022WKWZA8 "Immersed methods for multiscale and multiphysics problems (IMMEDIATE)", and acknowledges the MIUR Excellence Department Project awarded to the Department of Mathematics, University of Pisa, CUP I57G22000700001. M. Kronbichler and L. Heltai were partially supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (call HORIZON-EUROHPCJU-2023-COE-03, grant agreement No. 101172493 "dealii-X: an Exascale Framework for Digital Twins of the Human Body"). M. Maier was partially supported by NSF Award DMS-2045636 and by the Air Force Office of Scientific Research under grant/contract number FA9550-23-1-0007. D. Wells was supported by NSF Award OAC-1931516. Charles University is acknowledged for providing computing time on the Snehurka cluster. This research used in part resources on the Palmetto Cluster at Clemson University under National Science Foundation awards MRI 1228312, II NEW 1405767, MRI 1725573, and MRI 2018069. The views expressed in this article do not necessarily represent the views of NSF or the United States government. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).
Keywords
- FEM
- deal.II
- finite elements
- software