Results 141 to 150 of about 994,338 (384)
Computers & Mathematics with Applications, 1993 The basic hypothesis the author sets up is that the foundations of physics lie in mathematical aesthetics. In fact, the author considers a field theory in Cartesian space under the following assumptions: (1) Data are specified at a single point rather than on a hypersurface. (2) All tensors are treated in a uniform way so far as change is concerned. (3)
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Advanced Energy Materials, EarlyView.Li‐free ASSBs offer high energy and safety but rely on costly noble metals (e.g. Ag) for stable cycling. This study shows that lithiophilicity alone cannot ensure stable Li morphology. By engineering interfacial design to spatially guide Li nucleation and growth, cost‐effective metals are reactivated for dense, aligned deposition—unlocking a broader ...
Dayoung Jun +8 more
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Amphibious Generator via Mechanical Coupling for Versatile Energy Harvesting
Advanced Energy and Sustainability Research, EarlyView.An amphibious hybrid triboelectric nanogenerator–electromagnetic generator (TENG–EMG) efficiently harvests energy from wind and water. By integrating TENG and EMG units with a gear‐assisted mechanism, it enhances power output and powers small electronic devices.
Chi Zhang +7 more
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, 1996 By detailed consideration of the mapping \(h:[0,1]\to [0,1]\) defined by \[ h(x)= \min\{x/c,(1-x)/(1-c)\},\quad c\in(0,1), \] the author shows that chance and chaos may be seen as different aspects of the same phenomenon, in which case randomness may be used to explain chaos. A main ingredient in chaos, viz.
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Journal of Combinatorial Theory, Series A, 1979 AbstractLet f be a continuous function on a compact interval I. If some point in I has period 3 under f, then Li and Yorke have shown that f is chaotic. Nathanson has shown that if some point in I has period divisible by 3, 5, or 7 then f is chaotic. In this note it is shown that if some point has period p under, f, where p is not a power of 2, then f ...
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Mapping uncertainty using differentiable programming
AIChE Journal, EarlyView.Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves +3 more
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CHAPITRE IV. Lumière et chaos : la souveraineté divine [PDF]
, 1968 Elena Cassin
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Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
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Advanced Intelligent Discovery, EarlyView.Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
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