Current Research Projects
The LOEWE focus CMMS - Center for Multiscale Modelling in Life Sciences - has as a long-term goal a comprehensive understanding of simple molecular biological processes, such as the mode of action of an enzyme, up to the complex behaviour of organisms.see Project
As part of the collaborative research centre (CRC) 1507, Roberto Covino's group contributes to understand the role of the cell membrane in regulating fundamental cellular programs. With modelling, calculations, and computer simulations, they want to elucidate the complex interactions between membrane proteins and lipids.see project
How does the brain recognise an orange? is being studied by Computer scientists and psychologists study, how abstract knowledge is stored in the brain in the new DFG research group ARENA. The findings should contribute to making artificially intelligent (AI) systems more efficient and flexible.see Project
How abstract knowledge is stored in the brain is being studied by psychologists and computer scientists in the new DFG research group ARENA. The findings should contribute to making artificially intelligent (AI) systems more efficient and flexible.
The Center for Multiscale Modelling in Life Sciences (CMMS) is the Frankfurt centre for multi-scale modelling, analysis and simulation of biological processes.
Collaborative project CoNDyNet 2: CoNDyNet II - Collective non-linear dynamics of complex power grids - Decentralized optimization and forecasting uncertainties in power systems
EMTHERA will bring together interdisciplinary basic and clinical scientists to break frontiers in the areas of infections, inflammation, and immunity and will develop novel strategies and new classes of therapeutics targeting the identified mechanisms.
KISS (Artificial Intelligence for the Fast Simulation of Scientific Data) enables faster, more flexible and more efficient evaluation of research data based on AI simulations.
The core of SPP 2411 "Sensing LOOPS: Cortico-subcortical Interactions for Adaptive Sensing” is to provide a deeper understanding of the role of cortico-subcortical loops in adaptive sensing, across modalities and in behaving animals.
PUNCH4NFDI is the NFDI consortium of particle, astro-, astroparticle, hadron and nuclear physics, representing about 9.000 scientists with a Ph.D. in Germany, from universities, the Max Planck society, the Leibniz Association, and the Helmholtz Association.
The SCALE consortium bridges technological expertise from cell biology, biophysics, molecular biology, neurobiology, chemistry, bioinformatics, and mathematics. They will develop novel experimental techniques to map and to simulate the interior of cells, and to predict their behavior. This research will provide important new insights into bacterial resistance, inflammation, neurodegenerative diseases and immune defense.
SAI: Seismology and Artificial Intelligence
In this project methods of AI are transferred to seismology. Real earthquake data of the last 50 years will be used for both machine learning and deep learning approaches. For this purpose, new AI methods are developed, which can be used not only for the understanding of earthquakes but also for other natural disasters.
Roberto Covino's group will contribute to CRC 1507 to understand the role of the cell membrane in regulating fundamental cellular programs. With modelling, calculations, and computer simulations, they want to elucidate the complex interactions between membrane proteins and lipids.
The brain is a complex network of billions of nerve cells giving rise to our cognitive abilities. Understanding the structure of this network is an important step in understanding how it functions. Today the field of Neuroscience has entered the age of connectomics, with the ultimate goal of providing a comprehensive description of the physical coupling among all neural elements of the brain.
Within the project: "ANNs for efficient, robust and interpretable reconstruction in physics and beyond", deep neural networks will be developed to enable low-cost and energy-efficient data processing in a variety of high-energy and heavy-ion physics experiments.
The dynamic connectome: keeping the balance
This joint project is part of the "Computational Connectomics" (SPP 2041) priority programme.
This project aims to develop a new paradigm for learning robots called "Goal-based Open-ended Autonomous Learning" (GOAL), which enables robots to independently learn new skills in an open, lifelong learning process.
COST Action CANTATA
The COST Action Cosmology and Astrophysics Network for Theoretical Advances and Training Actions (CANTATA)gathers a team of European leading experts in gravitational physics and cosmology around the timely goal of investigating the extension of Einstein’s theory of General Relativity.
Studies of pairing and condensates in nuclear and related systems
This project concentrates on two issues in the theory of fermionic condensates.
Neuro-DREAM is an international research project on amblyopia with partners in Germany, Canada and Italy. The acronym Neuro-DREAM stands for Neuro-Developmental Research on the Etiology of Amblyopia and its Management. The project is funded through the ERA-NET NEURON program.
Modelling the formation of neural circuits
Since the early days of Prof. Santiago Ramón y Cajal it is well known that the intricate branching structures that neurons display are a result of strictly curtailing wiring costs. Modern quantitative analyses have meanwhile strengthened the view that morphologies of axons and dendrites reflect optimal conditions in terms of wiring.
DFG Scientist Unit FOR 1756
The Research Unit focusses on defining and analysing the functional dynamics of cell contacts in cellular assemblies and small sets of cells in a set of genetically tractable model systems.
Analog Systems for Gravity Duals
The aim of this project is to develop and test a new method to describe strongly coupled phases of matter.
The cerebral cortex, a substrate for information processing in high-dimensional, dynamic state spaces.
Many animals and robots use two eyes (or cameras) to see the world three-dimensionally and estimate precise distances. This project investigates how this ability can be developed in biological vision systems or learned by robots completely autonomously.
Marie Skłodowska-Curie Individual Fellowship
The Marie Skłodowska-Curie Individual Fellowship, at the intersection of neuroscience, computational theory and linguistics will set the foundations for a mechanistic investigation of human cognition at an unprecedented level of detail.
AEROBI - Aerial RObotic System for In-Depth Bridge Inspection by Contact
The integration of the latest research results on low-flying unmanned robots with arms, the integration of an intelligent control system from robotics, computer vision and sensor technology into an innovative and low-flying robot system with a special multijoint arm that scans concrete beams and pillars in a bridge for possible cracks on the surface, concrete swelling or chipping, should revolutionize bridge inspection in the future.
The ExtreMe Matter Institute EMMI at GSI was founded in April 2008 in the framework of the Helmholtz Alliance 'Cosmic Matter in the Laboratory' and was funded through the Alliance Program of the Helmholtz Association. FIAS is one of 13 GSI partners in this project.
CoNDyNet: Collective non-linear dynamics of complex power grids (CoNDyNet) - Transition scenarios for completely renewable electricity supply
The CBM experiment at the currently constructed accelerator facility FAIR is at the center of a scientific program with the goal to widen the understanding of the properties and the phases of Quantum Chromodynamics (QCD).
A combined modeling framework to break the lethal alliance between influenza and bacterial coinfections
This project - a collaboration of FIAS (Dr. Esteban Hernandez-Vargas) and Otto-von-Guericke-University Magdeburg, Institute of Medical Microbiology (Professor Dunja Bruder) - deals with a combined modelling approach to overcome the deadly alliance of influenza and bacterial co-infections.
R&D COMPUTING - GPU-based Deep Learning Data Analysis
Within the framework of the joint project "Innovative Digital Technologies for the Exploration of Universe and Matter" FIAS concentrates on GPU-based Deep Learning (DL) data analysis for CBM
COST Action THOR
The COST Action "Theory of hot matter and relativistic heavy-ion collisions" (THOR) brings together leading European experts in the field of heavy ion collisions. Their aim is to explore matter under extreme conditions. With the help of heavy ion collisions, temperatures and densities such as those occurring in the early universe or compact objects (such as neutron stars) can be generated and investigated.
Helmholtz International Center for FAIR
The Helmholtz International Center for FAIR (HIC for FAIR) is a research organization of Hessian universities and research institutes. This is where the foundation for research at the international accelerator centre FAIR is to be laid.
The aim of this research project is to investigate the current and future grid usage in the context of the advancing energy transition and to methodically record a system-appropriate allocation of short- and long-term grid costs. Algorithms for load flow allocation and grid cost allocation will be developed, evaluated and systematically compared.
ALICE (A LARGE ION COLLIDER EXPERIMENT) at the CERN Large Hadron Collider is one of the largest experiments in the world, devoted to studying the physics of strongly interacting matter at the highest energy densities reached so far in the laboratory. In such conditions, an extreme phase of matter called the quark-gluon plasma is formed. Our universe is thought to have been in such a primordial state for the first few millionths of a second after the Big Bang, before quarks and gluons were bound together to form protons and neutrons.