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researcher

M. Stipsitz

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedTowards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2025

Virtual Sensing for Solder Layer Degradation and Temperature Monitoring in IGBT Modules

Andrea Urgolo, Monika Stipsitz, Hèlios Sanchis-Alepuz

Monitoring the degradation state of Insulated Gate Bipolar Transistor (IGBT) modules is essential for ensuring the reliability and longevity of power electronic systems, especially…

cs.CE2022★ 1 cited

Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks

Helios Sanchis-Alepuz, Monika Stipsitz

This paper presents a method to simulate the thermal behavior of 3D systems using a graph neural network. The method discussed achieves a significant speed-up with respect to a tra…

physics.comp-ph2022

Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems

Monika Stipsitz, Helios Sanchis-Alepuz

Neural Networks as fast physics simulators have a large potential for many engineering design tasks. Prerequisites for a wide-spread application are an easy-to-use workflow for gen…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.