Bionic Technology in Prosthetics: Multi-Objective Optimization of a Bioinspired Shoulder-Elbow Prosthesis with Embedded Actuation. [PDF]
Jiang J, Chen G, Wang X, Yan H.
europepmc +1 more source
Imaging of Biphoton States: Fundamentals and Applications
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley +1 more source
A multi-objective optimization-driven screening approach for maximizing hydrogen storage capacities in MOFs. [PDF]
Anbumani P +4 more
europepmc +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Multi-objective optimization design of microchannel reactors for Fischer-Tropsch synthesis using CFD, GENN, and NSGA-II. [PDF]
Ren S, Wang Y.
europepmc +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Performance driven multi objective optimization of 2 MW integrated Pseudo Direct Drive permanent magnet synchronous wind generator. [PDF]
Abdeljalil D +4 more
europepmc +1 more source
Multi-Objective Optimization Using Surrogates [PDF]
Voutchkov, I., Keane, A.J.
openaire +2 more sources
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Deep reinforcement learning-driven multi-objective optimization and its applications on lighting infrastructure operation and maintenance strategy. [PDF]
Wang Z +6 more
europepmc +1 more source

