Results 251 to 260 of about 83,573 (332)

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Scattering diagrams, tight gradings, and generalized positivity. [PDF]

Proc Natl Acad Sci U S A
Burcroff A, Lee K, Mou L.
europepmc   +1 more source

Pursuing a Polynomial Invariant of 2-knots

, 2014
Therese Mardal Hagland
openalex   +1 more source

Differential elimination and algebraic invariants of polynomial dynamical systems [PDF]

William Simmons, André Platzer
openalex   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Relaxation to universal non-Maxwellian equilibria in a collisionless plasma. [PDF]

Proc Natl Acad Sci U S A
Ewart RJ, Nastac ML, Bilbao PJ, Silva T, Silva LO, Schekochihin AA.   +5 more
europepmc   +1 more source

Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit

Advanced Intelligent Systems, EarlyView.
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi, Ipsita Sahin, Caio Mucchiani, Elena Kokkoni, Konstantinos Karydis   +4 more
wiley   +1 more source

Anisotropic Hyperelastic Strain Energy Function for Carbon Fiber Woven Fabrics. [PDF]

Materials (Basel)
Cai R, Zhang H, Lai C, Yu Z, Zeng X, Wu M, Wang Y, Huang Q, Zhu Y, Kong C.   +9 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Strain engineering of topological transitions in 2D materials: a multi-band approach. [PDF]

Sci Rep
Azizi F.
europepmc   +1 more source