Holistic Optimization and new Thermal Strategies for Energy-Efficient LogisticsThe aim of HOTSTEEL is to develop new algorithmic and IT-based foundations for cross-process production planning in the steel industry. The project focuses on flexible planning models, AI-supported predictions of thermodynamic processes, powerful optimization …
March 31, 2024
Nanooptical Simulation and Machine Learning for Chip Metrology (NanoMaC)Chip production consists of many process steps that must be carried out with high precision. Ellipsometry and reflectometry are fast and non-destructive inverse measurement methods and play a key role in quality control.In NanoMaC, …
October 12, 2023
Multicore fiber single photon emitter module for quantum communicationIn the project Multicore fiber single photon source, innovative quantum chips for quantum communication with high transmission rates are being developed. The modules consist of semiconductor-based single photon sources that are directly coupled to …
May 14, 2022
Cost-efficient gas sensor system based on wavelength-tunable quantum dot VCSEL arrays.The project develops an innovative, low-cost, high-precision and high-reliability spectroscopic system for detecting in-situ low water vapor concentrations in industrial applications.QD-Sense combines tunable VCSEL laser arrays, optical investigations, and numerical design studies. …
May 14, 2022
Scalable quantum circuits based on microlaser-pumped quantum emittersThe aim of this project is to develop a scalable quantum technology platform for generating single photons as information carriers for quantum communication and as input states for photonic quantum computers.Key featuresScalable quantum device concept …
September 30, 2021
AI powered Digital twin for lighting infrastructure in the context of front-end Industry 4.0 (AI-TWILIGHT)The main goal of AI-TWILIGHT is to merge virtual and physical worlds with self-learning digital twins of lighting systems. These models are used for predicting performance and lifetime …
November 16, 2020
Artificial Intelligence in Atom Interferometry (AI2)The goal of the project is to significantly improve the efficiency and robustness of atomic interferometry experiments by using artificial intelligence. The AI methods are applied along the chain from improved theory models and measurement data extraction …