AA Technology focuses on modeling, simulation, and optimization for advanced quantum, optoelectronic, and energy devices. It develops mathematical models for optimizing quantum processors, addressing challenges like spin-qubit control and quantum information leakage, and creates coarse-grained models for organic semiconductors and electrochemical devices to improve efficiency and lifespan. AI-augmented multiscale modeling is also central, using data-driven methods to support innovative design and optimization of next-generation energy and electronic devices.
Previous denominations: Materials, Light, Devices (2019-2022), Nano and Quantum Technologies (2023-2025)
Scientists in Charge: Michael Hintermüller, Markus Kantner, Barbara Zwicknagl
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- AA2-20: Coarse-Graining Electrons in Quantum Systems
Frank Noé, Cecilia Clementi - AA-Tech-1: Anisotropic Microfluids — Fluctuations, Control, Effective Models and their Numerics
Benjamin Gess,Robert Lasarzik, Sandra May - AA-Tech-2: Large-Scale Tensorially Structured Data for Quantum Technologies and Beyond
Jens Eisert, Patrick Gelß, Michael Hintermüller - AA-Tech-3: Low-Rank Approximation in Bayesian Optimal Experimental Design
Robert Gruhlke
- AA2-20: Coarse-Graining Electrons in Quantum Systems
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- AA2-1: Hybrid Models for the Electrothermal Behavior of Organic Semiconductor Devices
Annegret Glitzky, Matthias Liero - AA2-2: Excitonic Energy Transport in Conjugated Polymer Chains
Rupert Klein - AA2-3: Quantum-Classical Simulation of Quantum Dot Nanolasers
Uwe Bandelow - AA2-4: Modeling and Analysis of Suspension Flows
Volker Mehrmann, Dirk Peschka, Matthias Rosenau, Marita Thomas, Barbara Wagner - AA2-5: Data-Driven Electronic Structure Calculations for Nanostructures
Thomas Koprucki, Alexander Mielke - AA2-6: Modeling and Simulation of Multi-Material Electrocatalysis
Jürgen Fuhrmann, Manuel Landstorfer - AA2-7: Sparse Deep Neuronal Networks for the Design of Solar Energy Materials
Andrea Walther, Stephan Schmidt, Bernd Rech, Eva Unger - AA2-8: Deep Backflow for Accurate Solution of the Electronic Schrödinger Equation
Jan Hermann, Jens Eisert, Frank Noé - AA2-9: Variational Methods for Viscoelastic Flows and Gelation
Dirk Peschka, Matthias Rosenau, Marita Thomas, Barbara Wagner - AA2-10: Electro-Mechanical Coupling for Semiconductor Devices
Patricio Farrell, Annegret Glitzky, Matthias Liero, Barbara Zwicknagl - AA2-11: Multiscale Analysis of Exciton-Phonon Dynamics
Rupert Klein - AA2-12: Nonlinear Electrokinetics in Anisotropic Microfluids – Analysis, Simulation, and Optimal Control
Etienne Emmrich, Dietmar Hömberg, Robert Lasarzik - AA2-13: Data-Driven Stochastic Modeling of Semiconductor Lasers
Uwe Bandelow, Markus Kantner, Wilhelm Stannat, Hans Wenzel - AA2-14*: Chiral Light-Matter Interaction for Quantum Photonic Devices
Sven Burger, Stephan Reitzenstein - AA2-15*: Random Alloy Fluctuations in Semiconductors
Thomas Koprucki, Christian Bayer
- AA2-16: Tailored Entangled Photon Sources for Quantum Technology
Sven Burger, Stephan Reitzenstein - AA2-17: Coherent Transport of Semiconductor Spin-Qubits: Modeling, Simulation and Optimal Control
Tobias Breiten, Markus Kantner, Thomas Koprucki - AA2-18: Pareto-Optimal Control of Quantum Thermal Devices with Deep Reinforcement Learning
Paolo Erdmann - AA2-19: Entanglement Detection via Frank-Wolfe Algorithms
Sébastien Designolle, Sebastian Pokutta - AA2-21: Strain Engineering for Functional Heterostructures: Aspects of Elasticity
Annegret Glitzky, Matthias Liero, Barbara Zwicknagl
- AA2-1: Hybrid Models for the Electrothermal Behavior of Organic Semiconductor Devices
Projects marked with an asterisk (*) were short-term, one-year pilot projects.