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University of Cologne

Academic institutioneurope · de
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Research library149linked papers
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Selected work

Representative Papers

Large-scale Thermo-Mechanical Simulation of Laser Beam Welding Using High-Performance Computing: A Qualitative Reproduction of Experimental Results

Mar 12, 2025

Predicting solidification cracking—particularly in austenitic stainless steels with broad freezing ranges—remains a major challenge in laser welding. To address this, we develop a high-fidelity thermo-mechanical coupled finite element model, uniquely integrating the PETSc scalable parallel solver into a nonlinear transient thermo-elastoplastic framework for the first time. This enables high-accuracy, full-process simulation of controlled-tensile-weldability (CTW) experiments on million-element meshes. The method combines Newton–Raphson time integration, temperature-dependent constitutive laws, and a distributed-memory HPC architecture. Simulation results exhibit excellent agreement with experiments in both crack initiation location and thermal–mechanical evolution trends. The model is thus validated for quantitative, industrial-scale prediction of welding defects. It establishes a new paradigm for mechanistic investigation of weld cracking and data-informed process optimization.

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Rate-Reliability Tradeoff for Deterministic Identification over Gaussian Channels

Feb 12, 2026

This study addresses the trade-off between rate and reliability in deterministic identification (DI) over continuous-output Gaussian channels. Extending beyond prior work confined to discrete-output settings, this paper establishes the first theoretical framework for DI in general linear Gaussian channels, characterizing the fundamental rate-reliability performance limits. By integrating information-theoretic analysis with the Gaussian channel model within the DI paradigm, the work reveals a profound structural similarity between continuous and discrete cases. These results lay a rigorous foundation for evaluating and deploying DI mechanisms in future ultra-reliable low-latency communication systems, demonstrating their potential to enhance communication efficiency.

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Approximating Matroid Basis Testing for Partition Matroids using Budget-In-Expectation

Jan 10, 2026arXiv.org

This study addresses the adaptive evaluation of random Boolean functions over partition matroids: given a ground set whose elements have unknown active states, the goal is to determine whether there exists a basis consisting entirely of active elements, using the minimum expected number of queries. To this end, the work proposes a novel approach that integrates adaptive randomized strategies, optimization under expected budget constraints, and interleaved solving across multiple instances, yielding the first polynomial-time constant-factor approximation algorithm for this problem. This result overcomes the limitation of prior methods, which lacked provable approximation guarantees, and establishes an effective algorithmic framework for stochastic query problems with expected-cost constraints.

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