Results 171 to 180 of about 22,065 (311)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Vapor‐Phase Grain‐Boundary Anchoring Enables Molecular Toughening and Record Bending Endurance in Pilot‐Scale Roll‐to‐Roll‐Printed Flexible Perovskite Modules

Angewandte Chemie, EarlyView.
A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong, Viktor Rehm, Shudi Qiu, Zexian Han, Naveen Harindu Hemasiri, Michael Wurmshuber, Michael Wagner, Cindy‐Ly Tavera‐Méndez, Dorothea Wisser, Chaohui Li, Robin Basu, Leopold Lahn, Olga Kasian, Sarmad Feroze, Wolfgang Heiss, Andreas Distler, Hans‐Joachim Egelhaaf, Fu Yang, Christoph J. Brabec   +18 more
wiley   +2 more sources

Finite control set model predictive current control for three phase grid connected inverter with common mode voltage suppression. [PDF]

Sci Rep
Bebboukha A, Meneceur R, Chouaib L, Anees MA, Elsanabary A, Mekhilef S, Bakeer A, Harbi I, Zaitsev I, Bajaj M.   +9 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Study of Stability and Power Quality of Grid-Connected Inverter for Vehicle-to-Grid Application

, 2015
The objective of this research is to investigate stability and power quality of a parallel grid-connected inverter system for vehicle-to-grid application. The grid-connected inverter system includes a voltage source inverter, output LCL filter, grid, and
Choi, Wooyoung
core  

Ultrasonic Rainbow: A Meta‐Transducer for Frequency‐Selective Elastic Wave Control via Dithering‐Based Wavenumber Tuning

Advanced Intelligent Systems, EarlyView.
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha, Jochen Moll, Kilian Tschöke, Carsten Kruska, Sylvia E. Gebhardt, Luca De Marchi   +5 more
wiley   +1 more source

Reliability-oriented performance evaluation of PV inverters using wide bandgap semiconductors. [PDF]

PLoS One
Kshatri SS, Dhillon J, Mishra S, Sharma NK, Jadoun VK.   +4 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Power quality and efficiency improvements for transformerless grid connected PV inverters

, 2010
There is currently significant growth in the number of residential scale grid connected photovoltaic (PV) systems. Generally, if environmental costs are not accounted for, the cost of generation from PV sources remains high compared to conventionally ...
Bowtell, Leslie
core