Spokesperson: Prof. Dr.-Ing. Michael Schlüter

Duration: since 2023

Homepage SFB 1615

The SFB is developing SMART reactors that flexibly and autonomously convert renewable raw materials into high-quality products, despite fluctuations in availability and quality. Through integrated sensor technology, modelling and adaptive actuators, process conditions are to be recorded, monitored and optimised in situ in order to enable consistent product quality, high yields and resilient processes. The interdisciplinary collaboration between process engineering, materials science, electrical engineering, natural sciences and computer science, together with the use of unique experimental facilities, enables the underlying processes to be investigated and optimised across all relevant scales.

Spokesperson: Prof. Georg Duda

Spokesperson at TUHH: Prof. Dr. Sara Checa Esteban

Duration: since 2018 at Charité Berlin

Homepage SFB 1444

The SFB 1444 investigates the fundamental principles of cellular self-organisation in bone regeneration. The focus is on the interplay between inflammatory responses, mechanobiological processes and metabolic communication, which determine the long-term success of regeneration as early as the initial healing phase. Building on existing findings, the SFB is investigating how these mechanisms are altered under compromised conditions, utilising modern methods such as spatial transcriptomics, single-cell analysis and biotechnological model systems. The aim is to establish new foundations for personalised therapies and patient stratification in cases of delayed bone healing and non-unions.

Spokeperson: Prof. Michael R. Buchmeiser 

Spokeperson at TUHH: Prof. Alexander Schlaich

Duration: since 2018 an University of Stuttgart

Homepage SFB 1333

The SFB 1333 is investigating how defined geometries in mesoporous materials specifically influence chemical catalysts. The combination of catalysts and tailor-made support materials results in hybrid systems with high reactivity and selectivity, which enable new and more efficient catalytic reactions. Sophisticated analytical techniques, simulation and machine learning are utilised to understand the underlying mechanisms across different length scales and to apply them to various reactor concepts. The aim is to develop efficient, scalable and, in the long term, technically viable catalytic processes, as well as a F.A.I.R.-based research data management system.

Spokesperson: Prof. Roland Fried

Spokesperson at TUHH: Prof. Timm Faulwasser

Laufzeit: seit 2024 an TU Dortmund

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Der TRR 391 entwickelt innovative statistische Methoden und maschinelle Lernverfahren zur Analyse raum-zeitlicher Daten, um datenbasierte Entscheidungen für die Energie- und Verkehrswende zu ermöglichen. Durch die Modellierung, Prognose und Simulation komplexer räumlicher und zeitlicher Zusammenhänge entstehen verlässliche Entscheidungsgrundlagen – etwa für die Vorhersage erneuerbarer Energieerzeugung, die Steuerung von Energienetzen sowie Mobilitäts-, Logistik- und Lieferkettenprozesse. Die interdisziplinäre Forschung verbindet methodische Grundlagen mit konkreten Anwendungen und leistet damit einen Beitrag zu einer effizienten, resilienten und CO₂-armen Energie- und Verkehrswende.

Spokesperson: Prof. Martin Vossiek

Spokesperson at TUHH: Prof. Alexander Kölpin

Duration: since 2021  at Friedrich-Alexander-Universität Erlangen-Nürnberg

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The twelve-year research program of the CRC EmpkinS (Empatho-Kinaesthetic Sensor Technology – Sensor Techniques and Data Analysis Methods for Empatho-Kinaesthetic Modeling and Condition monitoring)) is concerned with inferring control circuits of the body from body movements. The Institute for High-Frequency Technology (E-3) of the TUHH is responsible for cardiovascular diagnostics with radar.

Spokesperson: Professor Dr. Carsten Eden

Spokesperson at TUHH: Prof. Thomas Rung

Duration: since 2016 at University of Hamburg

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The TRR develops energy-consistent climate models to reduce systematic errors in the simulation and prediction of the current and future climate. The focus is on improving our understanding of energy transfer in the atmosphere and the ocean, as well as on the development and validation of new physical parameterisations and numerical methods. By closely integrating climate physics, meteorology, oceanography, mathematics and numerical modelling, the aim is to produce more precise and reliable coupled climate models, thereby laying the foundations for more robust climate forecasts.