Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly © Patrick Pollmeier / Hochschule Bielefeld (HSBI) Diagnostic Tool for Rare Diseases: Mathematics for Medicine How Our Researchers Use Mathematical Models to Detect Rare Diseases More Quickly Diagnostic Tool for Rare Diseases: Mathematics for Medicine How our researchers use mathematical models to detect rare diseases more quickly. © Patrick Pollmeier / Hochschule Bielefeld (HSBI)

Kaiserslautern. Detecting Rare Diseases Faster Thanks to Mathematical Models

Rare diseases affect more people than one might think, but they are often difficult to diagnose. On average, it takes years for patients to receive a diagnosis. In this project, our researchers are working with the pharmaceutical company Chiesi to develop a mathematical support tool that will help doctors identify rare diseases more quickly and test for them in a targeted manner.

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The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates Project »KIBi«: 3D Image Analysis and AI Improve Quality Control of Aggregates in Building Materials © Fraunhofer ITWM, iStockphoto

Kaiserslautern. The Shape is Decisive – AI-Based Particle Separation in Computed Tomography Images of Rock Aggregates

In the »KIBi« project, we are working with our partners to develop an AI-supported process that automatically separates and characterizes aggregates in CT images, thereby simplifying and improving quality assurance and production control in the building materials industry. It is part of a special transfer program run by the Fraunhofer-Gesellschaft and the German Research Foundation (Deutsche Forschungsgemeinschaft DFG).

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Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Kaiserslautern. Digital Twin for Tire Abrasion – Fraunhofer ITWM Develops Virtual Models for More Sustainable Mobility

Tire abrasion is one of the largest sources of microplastics in Europe, polluting the air, soil, and water. With the SUMERA project, the Fraunhofer Institute for Industrial Mathematics ITWM, with support from the state of Rhineland-Palatinate, is developing a digital model that comprehensively simulates tire abrasion for the first time and makes emissions predictable.

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Trondheim. Patterns from instability: How 1D soliton breaks dimensions to find 2D surfaces

By Wei Lian NTNU Norwegian University of Science and Technology In engineering, “instability” is often viewed as a failure—a bridge buckling in the wind or

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Trondheim. Affinization of Reduced Basis Methods

by Trond Kvamsdal NTNU Norwegian University of Science and Technology Background Reduced-basis methods (RBMs) offer an efficient framework for computing real-time approximations of parameterized PDEs.

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Schoonschip Communitiy ©Isabel Nabuurs

Kaiserslautern. Dynamic Electricity Prices and Flexibility Marketing for the Floating Energy Community Schoonschip

The Schoonschip energy community is an association of 30 floating houses with photovoltaic systems, heat pumps and battery storage units in a side arm of the IJ canal, north of Amsterdam. What makes it special is the innovative technologies that enable the members to manage their energy supply collectively. Since 2018, for example, they have been able to maximize the use of their own energy generation by integrating the Amperix energy management system developed at the Fraunhofer ITWM and thus jointly reduce the amount of energy they still need to purchase.

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Darmstadt. Scalable Algorithms for 3D Simulation of Electric Machines

Prototyping of electrical machines in 3D is becoming increasingly important. It offers more design options for optimization. It also allows the simulation of more complex

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Darmstadt. Multiphysical simulation of a permanent magnet assembly for magnetocaloric refrigeration

Magnetocaloric cooling is an emerging technology for room temperature refrigeration. It has the potential to surpass the established gas-vapor compression refrigeration system in terms of

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Darmstadt. Machine Learning for Scattering Problems

Designing complex engineering systems often relies on simulation and optimization. Examples include electric motors or high-frequency devices. These processes are based on the Finite Element

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Wuppertal. Hessian-free force-gradient integrators for latticeQCD simulations

Kevin Schäfers is a PhD student at the University of Wuppertal, in the Institute for Modelling, Analysis and Computational Mathematics (IMACM). In a long-standing collaboration

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