A5101738359- Cold Atom Physics and Bose-Einstein Condensates
- Gaussian Processes and Bayesian Inference
- Acoustic Wave Phenomena Research
- Advanced Measurement and Metrology Techniques
- Olfactory and Sensory Function Studies
- Forecasting Techniques and Applications
- Image Enhancement Techniques
- Plasmonic and Surface Plasmon Research
- Thermal Radiation and Cooling Technologies
- Color Science and Applications
- Advanced Bandit Algorithms Research
- Optical measurement and interference techniques
- Smart Materials for Construction
- Advanced biosensing and bioanalysis techniques
- Spectroscopy and Laser Applications
- Quantum Information and Cryptography
- Quantum Mechanics and Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Atomic and Subatomic Physics Research
- Photoacoustic and Ultrasonic Imaging
- Machine Learning in Materials Science
Zuse Institute Berlin
2023-2025
EdgeWave (Germany)
2022-2025
Periodic lattices of high refractive index materials manipulate light in exceptional manners. Resulting remarkable properties range from photonic band gaps to chiral active matter, which critically depend on parameters crystal such as the unit cell, lattice type, and periodicity. In self-assembled materials, are inherited by geometry size macromolecules or colloidal particles assembling cell. DNA origami allows for excellent control over shape assembled while simultaneously allowing...
Abstract The generation of cold atom clouds is a complex process which involves the optimization noisy data in high dimensional parameter spaces. Optimization can be challenging both and especially outside lab due to lack time, expertise, or access for lengthy manual optimization. In recent years, it was demonstrated that machine learning offers solution since optimize problems quickly, without knowledge experiment itself. this paper we present results showing benchmarking nine different...
State engineering of quantum objects is a central requirement in most implementations. In the cases where dynamics can be described by analytical solutions or simple approximation models, optimal state preparation protocols have been theoretically proposed and experimentally realized. For more complex systems, however, such as multi-component gases, simplifying assumptions do not apply anymore optimization techniques become computationally impractical. Here, we propose Bayesian based on...
Abstract State engineering of quantum objects is a central requirement for precision sensing and computing implementations. When the dynamics can be described by analytical solutions or simple approximation models, optimal state preparation protocols have been theoretically proposed experimentally realized. For more complex systems such as interacting gases, simplifying assumptions do not apply anymore optimization techniques become computationally impractical. Here, we propose Bayesian...
The significance of color aesthetics in photovoltaic (PV) modules gains importance, especially design‐centric applications like building‐integrated PVs. Color filters based on distributed Bragg reflectors, consisting alternating thin‐film layers different refractive indices, can modify the appearance standard silicon modules. This approach is also extended to optimize emerging PV technologies such as perovskite solar cells, which typically exhibit a less appealing gray–brownish appearance....
The generation of cold atom clouds is a complex process which involves the optimization noisy data in high dimensional parameter spaces. Optimization can be challenging both and especially outside lab due to lack time, expertise, or access for lengthy manual optimization. In recent years, it was demonstrated that machine learning offers solution since optimize problems quickly, without knowledge experiment itself. this paper we present results showing benchmarking nine different techniques...
In the SiM4diM project we improve measurement uncertainty of bidirectional optical measurements in industrial inspection to below a tenth micrometer. This will be achieved by combining highly accurate focal and afocal with robust model measured intensity structure question. The inverse problem is then efficiently solved applying machine learning algorithm form Bayesian optimization. We present practical guide modelling an system as well latest results project, showcasing improved edge...