Leibniz Universität Hannover Fakultät Fakultät für Mathematik und Physik
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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 zum Projekt "DentoScope"

Validierung von faserbasierten Endoskopen in Zahnwurzelkanälen Validierung von faserbasierten Endoskopen in Zahnwurzelkanälen

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
Optische neuronale Netze können durch Akustik an Nichtlinearität gewinnen
© WILEY
Neue Veröffentlichung in Laser & Photonics Reviews: Biegbare Multikern-Faserlinse für minimal-invasive Endoskopie
Our paper, "Variational Physics-Informed Neural Operator (VINO) for Solving Partial Differential Equations," has been accepted in CMAME!
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Letzte Änderung: 21.07.25; Webredaktion IOP Druckversion

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