Results 61 to 70 of about 10,141,921 (243)
This paper concentrates on analyzing the stability problems of aperiodic sampled-data systems with time delay. Based on Lyapunov theory, a new time-square-dependent two-side looped-functional (TTLF) is proposed, which can take full advantage of the ...
Wei-Min Wang, Wei Wang
doaj +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
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
Aperiodic activity differences in individuals with high and low temporal processing efficiency
It is known that Temporal Information Processing (TIP) underpins our cognitive functioning. Previous research has focused on the relationship between TIP efficiency and oscillatory brain activity, especially the gamma rhythm; however, non-oscillatory ...
Klaudia Krystecka +4 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
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
Aperiodic order via dynamical systems: Diffraction for sets of finite local complexity [PDF]
We give an introduction into diffraction theory for aperiodic order. We focus on an approach via dynamical systems and the phenomenon of pure point diffraction. We review recent results and sketch proofs. We then present a new uniform Wiener/Wintner type
D. Lenz
semanticscholar +1 more source
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald +7 more
wiley +1 more source
Chaotic, mixed-mode and periodic oscillations during the electro-oxidation of copper in trichloroacetic acid [PDF]
The current oscillations of a copper electrode in trichloroacetic acid solutions were studied in this paper. The Cu/CCl3COOH system is a new electrochemical oscillator, showing rich dynamic behaviour on two controllable parameters: the trichloroacetic ...
Li Liang +3 more
doaj +1 more source
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 +2 more
wiley +1 more source
Spectral triples and aperiodic order
40 pages, 1 ...
Kellendonk, Johannes, Savinien, Jean
openaire +2 more sources
Near-field-driven radiative thermal dynamics in aperiodic photonic nanostructures
Harnessing structural correlations in near-field plasmonic and polaritonic systems hold untapped potential for controlling light–matter interactions at the nanoscale. By tuning these correlations, one can reshape mode localization, coupling, and spectral
M Prado +3 more
doaj +1 more source

