Optimal solutions for mobility networksThe traffic of the future consists of networked systems in which data analysis and intelligent control are an integral part. Such...
The management of air cargo containers, or unit load devices (ULD), requires a large amount of manual labour. ULDs usually have to be broken down and the shipments...
The NanoLab project is part of the MODAL research campus. Data-based methods play an essential role in the development and application of photonic technologies. Efficient...
This project is collaborative project together with Fraunhofer Institut für Integrierte Systeme und Bauelementetechnologie (IISB),Friedrich-Alexander Universität Erlangen...
Complex networks are a powerful tool for studying a wide range of real-world complex systems, including social, biological and physical systems. Understanding the...
Mobilitätsmodelle zur Eindämmung von COVID-19 in Berlin
Die Ausbreitung von SARS-CoV-2 stellt die Welt, und auch Deutschland, vor erhebliche Probleme. Um eine Überlastung des Gesundheitssystems abzuwenden, wurden bekanntlich...
Optimization of Data-Driven Workflows on Next-Gen Computer Architectures
The HPCLab develops algorithmic and software solutions for the efficient implementation of data...
Zuse Institute Berlin is proud to be a member of the Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT) initiative.
The PEPP-PT (https://www.pepp-pt.org/)...
Advancements in morphology have enabled the creation of virtual fossil replicas that allow non-destructive processing and unprecedented analysis capabilities. However...
This project addresses a mathematical problem of broad impact in inference problems that rely upon the accurate calculation of points of maximum probability, known as...
For the development and analysis of energy scenarios, the application of models is crucial. Considering the fact that energy systems analysis is an important instrument...
Algebraic and Tropical Methods for Periodic Timetabling
The mathematical optimization of periodic timetables in public transport relies on the Periodic Event Scheduling Problem (PESP), which has so far been studied almost...
The energy transition towards sustainable and renewable sources gives rise to higher and more complex requirements for the expansion planning of district heating systems...
Big Data (BD) and Machine Learning (ML) -together with decision-making- are the key pillars of Artificial Intelligence (AI). The analysis of very large and heterogeneous...
Identification of Stresses in Heterogeneous Contact Models
The impact of mechanical loading of articular cartilage on the onset and progression of osteoarthritis is well known. The actual mechanisms of this connection however...
The spatio-temporal modelling of mechanisms underlying pain relief via the µ-opioid receptor
We model all different aspects of μ-opioid receptor activation. This starts with the binding of an opioid to the receptor, followed by conformnational changes, spatio...
Space-time stochastic models for neurotransmission processes
Neurotransmission denotes the passing of stimuli from a neural cell to a target cell at specific junction points called synapses. The aim of this project is to increase...
The understanding of anatomical shapes as well as their variations over time or among individuals is crucial in medical diagnostics and therapy. Riemannian shape...
The current system of routing flights on predefined airway networks does not harvest the benefits of exploiting tailwinds in an optimal way. Dropping the restriction to...
The focus of this project within the DFG Cluster of Excellence MATH+ and the associated Helmholtz Excellence Network SolarMath is on simulation and optimization for...
