33 citations
- Leiden UniversityNL14 papers
- University of GothenburgSE12 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- University College LondonGB10 papers
- California Institute of TechnologyUS8 papers
- National Institute for AstrophysicsIT8 papers
- Netherlands Institute for Radio AstronomyNL8 papers
- Space Telescope Science InstituteUS8 papers
- The University of TokyoJP8 papers
- Institut d'Estudis Espacials de CatalunyaES7 papers
- Université Paris-SaclayFR7 papers
- University of CambridgeGB7 papers
103 papers
Finite element approximation of the linearized Cahn-Hilliard-Cook equation
Ali Mesforush, Stig Larsson
The linearized Cahn-Hilliard-Cook equation is discretized in the spatial variables by a standard finite element method. Strong convergence estimates are proved under suitable assum…
DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes
Jing Chen, Miquel Pericas
Energy efficiency has become a first-order concern in modern high-performance computing systems, as it directly determines achievable throughput under fixed power budgets. Although…
Hybrid Kinetic-MHD Simulations of Drift-Orbit Effects on the Stability and Non-Linear Dynamics of Runaway Electron Beams
Shi-Jie Liu, Hao-Wei Zhang, Hannes Bergstroem +2
During tokamak disruptions, the Ohmic current may be replaced by a non-inductive runaway electron (RE) current, affecting resistive stability. Previous studies suggest that, in the…
Characterising the response of an International LOFAR Station
Letizia Vincetti, Sai C. Susarla, Owen A. Johnson +7
Phased-array radio interferometers with fixed antennas are a highly scalable design which can achieve a large gain. However they are complex systems and challenging to calibrate. H…
NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
Ting Liang, Ke Xu, Eric Lindgren +16
While machine-learned interatomic potentials offer near-quantum-mechanical accuracy for atomistic simulations, many are material-specific or computationally intensive, limiting the…
GradInf: Gradient Estimation as Probabilistic Inference
Gaurav Arya, Mathieu Huot, Moritz Schauer +2
Gradient estimation -- the task of computing the gradient of the expected value of a probabilistic program -- has diverse applications in scientific computing, but is notoriously d…