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Performance Impact of the Newton Iterations per Solver Call in Partitioned Fluid-Structure Interaction1citations
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Pitfalls of Projection: A study of Newton-type solvers for incremental potentials2026 ACM Transactions on Graphics article Physics and Astronomy Model Reduction and Neural Networks Open access
Andreas Longva, Fabian Löschner, José Antonio Fernández-Fernández, Egor Larionov, Uri M. Ascher, Jan Bender
2citations -
Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning2026 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Kianoosh Taghikhani, Yusuke Yamazaki, Markus Apel, Reza Najian Asl, Shahed Rezaei
1citations -
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms2024 SIAM Journal on Scientific Computing article Physics and Astronomy Model Reduction and Neural Networks
Danimir T. Doncevic, Alexander Mitsos, Y. P. Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, +1 more
9citations -
Development of a track-level thermomechanical model for laser powder bed fusion (LPBF) with a novel approach for plasticity computation2026 Optical Engineering article Engineering Additive Manufacturing Materials and Processes Open access
Khuldoon Usman, Markus Nießen, Wolfgang Schulz, Christian Hinke
0citations -
A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models2021 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jack Hale, Elisa Schenone, Davide Baroli, Lars Beex, Stéphane Bordas
13citations -
Identification of mechanisms of magnetic transitions using an efficient method for converging on first-order saddle points2025 Physical review. B./Physical review. B article Materials Science Magnetic Properties and Applications Open access
Hendrik Schrautzer, Moritz Sallermann, Pavel F. Bessarab, Hannes Jónsson
4citations
24 results