Leibniz Universität Hannover Faculty Faculty of Mathematics and Physics
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Institute of Photonics
 
Institute of Photonics
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Machine learning-assisted first-principles study of structural, electronic, optical, thermal, and mechanical properties of novel s-triazine-based organic framework monolayers
Master program: HIGH-PERFORMANCE MODELINGOF FLEXOELECTRIC COMPOSITES
Isogeometric topology optimization of flexoelectric materials based on perturbation analysis
Kick-off of the project 'DentoScope'

Validation of fibre-based endoscopes in tooth root canals Validation of fibre-based endoscopes in tooth root canals

Researchers led by Qiong Liu from Leibniz University Hannover, with collaborators from Germany and the USA
Congratulations to Mr. Hai Dong Huynh on Successfully Defending His PhD Thesis
Congratulations to Mr. Tran Van Than on Successfully Defending His PhD Thesis
On-Demand Inverse Design of Metamaterials Using Deep Neural Networks with Bayesian Optimization
Design of phoxonic crystals for maximizing dual bandgaps using optimization approach
© Grigorii Slinkov
Photonic computing needs more nonlinearity: acoustics can help
© WILEY
New Publication in Laser & Photonics Reviews: Bend-Resilient Multicore Fiber Lens for Minimally Invasive Endoscopy
Our paper, "Variational Physics-Informed Neural Operator (VINO) for Solving Partial Differential Equations," has been accepted in CMAME!
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Last Change: 21.07.25; Webredaktion IOP Print

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