activity
20182021
most citedTensor-train approximation of the chemical master equation and its application for parameter inference

20 citations · 27 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CE2025

Multi-patch isogeometric neural solver for partial differential equations on computer-aided design domains

Moritz von Tresckow, Ion Gabriel Ion, Dimitrios Loukrezis

This work develops a computational framework that combines physics-informed neural networks with multi-patch isogeometric analysis to solve partial differential equations on comple…

stat.CO202120 cited

Tensor-train approximation of the chemical master equation and its application for parameter inference

Ion Gabriel Ion, Christian Wildner, Dimitrios Loukrezis +2

In this work, we perform Bayesian inference tasks for the chemical master equation in the tensor-train format. The tensor-train approximation has been proven to be very efficient i…

physics.acc-ph20217 cited

Local field reconstruction from rotating coil measurements in particle accelerator magnets

Ion Gabriel Ion, Melvin Liebsch, Abele Simona +5

In this paper a general approach to reconstruct three dimensional field solutions in particle accelerator magnets from distributed magnetic measurements is presented. To exploit th…

q-fin.ST2020

Hybrid Modelling Approaches for Forecasting Energy Spot Prices in EPEC market

Tahir Miriyev, Alessandro Contu, Kevin Schafers +1

In this work we considered several hybrid modelling approaches for forecasting energy spot prices in EPEC market. Hybridization is performed through combining a Naive model, Fourie…

physics.comp-ph2020

Magnetic Field Simulation with Data-Driven Material Modeling

Herbert De Gersem, Armin Galetzka, Ion Gabriel Ion +2

This paper developes a data-driven magnetostatic finite-element (FE) solver which directly exploits measured material data instead of a material curve constructed from it. The dist…

math.OC2018

Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements

Ion Gabriel Ion, Zeger Bontinck, Dimitrios Loukrezis +5

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine de…