Results 81 to 90 of about 116,653,606 (265)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

Breaking the Surface: Buoyant Metal–Polymer Open–Cell Hybrid Lattice Metamaterials

Advanced Materials, EarlyView.
Open‐cell metal–polymer lattice metamaterials that defy sinking. (a) Injection process of the polyurethane (PU) foam into the titanium (Ti‐6Al‐4V) hollow‐strut lattice creating the open‐cell Ti‐6Al‐4V+PU hybrid lattice, (b) flotation test of a hybrid lattice specimen, and (c) a digital representation and experimental validation of a marine buoy ...
Jordan Noronha, Joey Tallon, Raad Omar, Jason Dash, Andrey Molotnikov, Martin Leary, Milan Brandt, Ma Qian   +7 more
wiley   +1 more source

THE APPLICATION OF LAGRANGIAN PARTICLE TRACKING TECHNIQUES TO MODELLING OF CONTAMINANTS IN WATER RESOURCES

Boletim do Observatório Ambiental Alberto Ribeiro Lamego
The Lagrangian model is widely used to track particles in water resources. The model, primarily a stochastic deterministic solution, is coupled with virtual passive particles driven by hydrodynamic forces.
Nikolas Souza, Jader Lugon Jr., Ramiro Neves, Alexandre Fernandes, Maria Juliano, Antônio Silva Neto   +5 more
doaj   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Stochastic model predictive control of LPV systems via scenario optimization [PDF]

, 2013
A stochastic receding-horizon control approach for constrained Linear Parameter Varying discrete-time systems is proposed in this paper. It is assumed that the time-varying parameters have stochastic nature and that the system's matrices are bounded but ...
FAGIANO, LORENZO MARIO, Lorenzo Fagiano, Calafiore, Giuseppe C, Fagiano, Lorenzo, Calafiore, Giuseppe Carlo   +4 more
core   +1 more source

The finite-volume method in computational rheology [PDF]

, 2012
The finite volume method (FVM) is widely used in traditional computational fluid dynamics (CFD), and many commercial CFD codes are based on this technique which is typically less demanding in computational resources than finite element methods (FEM ...
Pinho, F.T., Afonso, A.M., Oliveira, P.J., Oliveira, Monica, Alves, M.A.   +4 more
core   +2 more sources

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

Optimising complex systems: model predictive control in engineering applications

Journal of Engineering and Applied Science
Model Predictive Control (MPC) has become a revolutionary control method in current engineering practice, offering explicit benefits over previous approaches. It explicitly considers models of the system, constraints, and interactions among multivariable
Edward Ofoegbu, Kehinde Adeleke
doaj   +1 more source