Scaling and Resilience in Numerical Algorithms for Exascale Computing

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In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a useful concept for ot ...

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Scaling and Resilience in Numerical Algorithms for Exascale Computing

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Reliable data-driven decision-making through optimal transport

From low-rank retractions to dynamical low-rank approximation and back

The time-domain Cartesian multipole expansion of electromagnetic fields

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

Pseudo-Three-Dimensional Analytical Model of Linear Induction Motors for High-Speed Applications

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Dataset for '3D printing of customizable transient bioelectronics and sensors'

Multiscale biomolecular simulations in the exascale era

Swift : a modern highly parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Nanoindentation hardness and modulus of Al2O3-SiO2-CaO and MnO-SiO2-FeO inclusions in iron

Data-driven statistical optimization of a groundwater monitoring network

High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Data and scripts for the RaFSIP scheme

Validation and Application of Hysteresis Loss Model for HTS Stacks and Conductors for Fusion Applications

EdgeAI-Aware Design of In-Memory Computing Architectures

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis