Results 151 to 160 of about 26,844 (257)

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Bridged Pyrroloindole‐CAYC‐Gold Complexes: Harnessing Weak Secondary Intramolecular Au···H−C(sp3) Interactions in Gold(I) Catalysis

open access: yesAngewandte Chemie, EarlyView.
We present a new class of electronically and sterically hindered N‐heterocyclic carbenes, referred to as bridged cyclic (amino)ylide carbene (bCAYC), where 9H‐pyrrolo[1,2‐a]indole acted as carbene core and diaryl sulfonium as ylide partner. Corresponding bCAYC‐Au(I) exhibits a weak secondary intramolecular Au···H−C(sp3) interaction as a secondary ...
Sourav Sekhar Bera   +6 more
wiley   +2 more sources

Quasi-anisotropic wet etching of glass creates inclined microstructures for advanced optical and MEMS devices. [PDF]

open access: yesMicrosyst Nanoeng
Yu J   +9 more
europepmc   +1 more source

ANISOTROPIC DIFFUSION BY QUADRATIC REGULARIZATION

open access: yesProceedings of the Third International Conference on Computer Vision Theory and Applications, 2008
openaire   +1 more source

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

open access: yesAdvanced 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

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Explicit minimisers for anisotropic Riesz energies. [PDF]

open access: yesCalc Var Partial Differ Equ
Frank RL   +5 more
europepmc   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

open access: yesAdvanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka   +2 more
wiley   +1 more source

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