Fraunhofer Institute for Industrial Mathematics ITWM

Fraunhofer Institute for Industrial Mathematics ITWM

About Us

Fraunhofer Institute for Industrial Mathematics ITWM briefly.

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With Mathematics Against Covid-19

Experts of the Fraunhofer ITWM contribute to overcome the Covid-19 pandemic in the form of various research projects. We support economy and society in coping with the Corona crisis with mathematical methods. On our landing page "Fraunhofer ITWM vs. Corona" we provide all news from the ITWM around the topic:

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Fields of Application

Thanks to the comprehensive methodological competence of the departments, our customers can be found in numerous industries. Two overarching top topics at the Institute are Machine Learning and Renewable Energies and Sustainability.

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High Performance Center

The High Performance Center Simulation- and Software- based Innovation strengthens the cooperation between enterprises, universities and research institutes in Kaiserslautern and extends consisting partnerships.

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Welcome to Fraunhofer ITWM!

We are one of the world's largest mathematical research institutes and our goal is to further develop mathematics as a key technology, give innovative impetus and implement it in practice together with industry partners. Methodologically, our research areas are based on modeling, simulation and optimization. Integral parts of our projects are consulting and implementation, support in the application of high-performance computer technology and providing tailor-made software solutions. We not only use simulation software, but also develop it ourselves, often in cooperation with leading software companies.
Nowadays, companies of all sizes use simulations on regular bases which gives them benefit in terms of product innovation and quality assurance. Our customers are mainly in the automotive, mechanical engineering, textile, computer industry and finance sectors.

Departments and Fields of Activity

Optimization
Flow and Material Simulation
Transport Processes
System Analysis, Prognosis and Control
Mathematics for Vehicle Engineering
Image Processing
High Performance Computing
Financial Mathematics
Materials Characterization and Testing

News

 

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Blog Entry / Streuspanne / 14.1.2021

»About Lottery Booths, Donald Duck and Mutated Corona Viruses«

What's the connection between lottery booths, mutant Corona viruses, and Donald (yes, we're actually talking about the duck these days)? More about this in the new blogpost of the Streuspanne. 

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Blog Post / Streuspanne / Interview / 8.1.2021

»Using Statistics to Map Aspects of Reality«

Our blog »Streuspanne« has been around for over two years now. Time for an interim balance right at the beginning of the year. In this interview, our bloggers Sascha Feth and Jochen Fiedler look back, talk about developments, goals, the motivation behind them and the statistical future.

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7.1.2021

Next Generation Computing

Digitalization is bringing with it a flood of data that we will soon no longer be able to handle efficiently with today's computer systems. Neuromorphic computing, trusted computing and quantum computing are the three main pillars on which a future is being built. It is time for a new hybrid computing generation: next generation computing (NGC). Fraunhofer brought the first quantum computer to Germany in November. Now it is starting operation. We are in the process of researching which problems we will solve better with quantum computers in the future and which will be better solved with other architectures.

 

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Project News / 15.12.2020

Autonomous Driving in the Commercial Vehicle Sector for Trucks

In the IdenT research project, we are contributing with our mathematical expertise together with our partners to actively drive the transformation of autonomous transport in the area of trucks.

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Press Release / 10.12.2020

Open Data and Analysis Platform for Greater Energy Efficiency Through Smart Meter

The Fraunhofer ITWM is contributing to the development of the "Open Energy Meter Data" platform, which aims to create a web-based contact point for collecting and analyzing energy consumption data. This data represents an important basis for innovations in energy system transformation, whether for the creation of smart grids, efficiency measures or business models based on artificial intelligence.

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Press Release / 9.12.2020

Fraunhofer ITWM Optimizes Location Planning for Vaccination Centers

A vaccine against Covid-19 is expected soon. How many vaccine doses are available? Who should be vaccinated first? Where should people be vaccinated? How many doctors are needed for vaccination? Our researchers have examined the last questions together with the RKI and TUK.

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Blog Post / Streuspanne / 9.12.2020

Is There a Delay in Infection Between Different Age Groups?

Here in the blog we have recently dealt with the dark figure of corona infections and the statistical characteristics of the tests. This time we ask the question: If we take measures today, will they affect all age groups at the same time?

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Kurznews [only available in German] / 1.12.2020

Interviews zur Studie im Fahrsimulator RODOS

Wir haben drei unserer Testfahrer:innen über die Studie im Fahrsimulator RODOS befragt. Ziel der Studie: Erkenntnisse zu erhalten, wie sich autonome Fahrzeuge auf den Verkehr auswirken.

Fraunhofer ITWM vs. Corona / 30.11.2020

New Paper about our EpideMSE-Tool

The new paper by Dr. Robert Feßler »EpideMSE: A General Integral Equation Model for Epidemics« formulates a general epidemic model based on an integral equation and identifies common SEIR and dSEIR models as special cases. Different properties of the general model, such as the initial development of the epidemic and the infestation, are described as functions of the integral kernel, and a formula for the reproduction number is given. On this basis, the SEIR and dSEIR models are then compared in two different ways and it is shown that the calculation of the reproduction rate depends on the epidemic model.

 

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Interview with insideHPC / 16.11.2020

»Where HPC Meets Interactive Machine Learning«

Our colleague Phillpp Reusch is working on the development of CARME – a framework for managing resources for multiple users. CARME combines machine learning with HPC back-end. Read more about the latest developments in CARME in the interview with insideHPC.

 

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Interview with insideHPC / 16.11.2020

»GaspiLS, a Scalable Linear Solver Library for the Exascale Age«

Also our colleague Dr. Daniel Grünewald informs in an interview about our work in the field of HPC. He talks about GaspiLS – our scalable linear solver library. More about this in the interview:

Blog Post / 5.11.2020

Mathematics and Big Data in the Field – Cognitive Services Support Agriculture

In the Fraunhofer Lighthouse Project COGNAC, our experts develop mathematical tools for data analysis and plant growth modeling that help to analyze highly complex situations where decisions often have to be made as quickly as possible. In the blog of the IESE , our colleagues Dr. Michael Burger and Dr. Jochen Fiedler explain how »Mathematics and Big Data are used in the field«.

Upcoming Events 2020

Due to the developments regarding the spread of the corona virus in Germany, our events and also the visits to the events are cancelled or postponed. We will inform you here as soon as the situation has changed.

 

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Digital Seminar / Kaiserslautern / 21.1.2021

Deep Learing Seminar Series

The Deep Learing seminar series of the department »High Performance Computing« continues digitally next year. In our next seminar Robert Sicks (Fraunhofer ITWM, department Financial Mathematics) present on »A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families«.

Digital Seminar / Kaiserslautern / 3.12.2020

KL-Regelungstechnik Seminar Series

The seminar »KL-Regelungstechnik« (Kaiserslautern – Control Theory and Control Engineering) is organized by our department as well as several research groups of the TU Kaiserslautern and continues digitally:

The seminar continues next year on January 14: Eric Schöneberg (Department of electrical and computer engineering at TUK, AG Görges) will speak on the topic »General Purpose Autonomous Robot for Intralogistics – A Control Perspective«.

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Digital Practical Computer Science Day / 27.1.2021

Practical Computer Science Day

Postponed to 2021: The Association for the Promotion of Computer Science at the TU Kaiserslautern (FIT e.V.) will be organizing a digitally practical computer science day .

We are on site with teams of our departments »Optimization« and »High Performance Computing« and report on the work at our institute.

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Digital Technology Day / 1.2.2021

Technology Day: JUROJIN – Statistics for Fatigue Testing and Reliability Analysis

On our technology day we demonstrate typical application examples and their efficient solution in Jurojin.

Components that are exposed to mechanical loads need to be designed for real customer usage. Variability of loads and of production quality represent major challenges. Jurojin provides best availably statistical methods for durability engineers to tackle those challenges. The software provides accurate evaluations for engineers – using sophisticated statistics without requiring the user to have advanced statistics skills.

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Digital VMC Technology Days / 05. and 08.02.2021

VMC Technology Days: Digital Environmental Data for Vehicle Engineering

On our technology days we present selected tasks and their solution with our software. In this event, the focus is on digital environmental data for vehicle engineering. The software-suite VMC® provides all you need to analyse vehicle usage in different markets and regions, plan measurement campaigns, evaluate data and simulate vehicle loads and performance based on suitable vehicle and driver models embedded in an efficient environmental model.

 

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Digital Regulars' Table / 24.2.2021

Digital Regulars' Table of the WFG Borken on the Topic of Predictive Maintenance

Together with our client Martin Körner (Berger Holding GmbH & Co. KG), our expert Benjamin Adrian will give a presentation on Predictive Maintenance at the digital regulars' table of the Wirtschaftsförderungsgesellschaft Borken (WFG Borken).

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Hybrid Seminar / 4.5.2021

Data Analysis and Machine Learning in Vehicle Development

The aim of this seminar is to teach basic methods, procedures and techniques from the fields of data analysis and machine learning and to show, using selected examples, how these can improve the vehicle development process.

[Only available in German]

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Digital Event / 4.7.2021

SAMOS XXI

SAMOS is a conference dedicated to embedded systems that brings together researchers from academia and industry every year – a place for exchange and networking.

Our expert Jens Krüger from the »High Performance Computing« department will participate with a special session. He is organizing and presenting the session on »Next Generation Computing« together with Matthias Jung (Fraunhofer IESE) and Marc Reichenbach (FAU Erlangen).

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Fraunhofer Institute for Industrial Mathematics ITWM

Fraunhofer-Platz 1

67663 Kaiserslautern

Deutschland

Phone +49 631 31600-0

Fax +49 631 31600-1099