Results 91 to 100 of about 5,421,281 (277)

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation

Advanced Science, EarlyView.
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi, Rohit Pratyush Behera, Hongyu Zhou, Yifan Wang, Hortense Le Ferrand   +4 more
wiley   +1 more source

Noise-Induced Spatial Pattern Formation in Stochastic Reaction-Diffusion Systems

, 2013
This paper is concerned with stochastic reaction-diffusion kinetics governed by the reaction-diffusion master equation. Specifically, the primary goal of this paper is to provide a mechanistic basis of Turing pattern formation that is induced by ...
Hara, Shinji, Hori, Yutaka
core   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

Drifting Pattern Domains in a Reaction-Diffusion System with Nonlocal Coupling

, 2000
Drifting pattern domains (DPDs), moving localized patches of traveling waves embedded in a stationary (Turing) pattern background and vice versa, are observed in simulations of a reaction-diffusion model with nonlocal coupling.
Baer, Markus, Nicola, Ernesto M., Or-Guil, Michal, Wolf, Wilfried   +3 more
core   +1 more source

Universal Cellular Automata and Class 4 [PDF]

, 1994
Wolfram has provided a qualitative classification of cellular automata(CA) rules according to which, there exits a class of CA rules (called Class 4) which exhibit complex pattern formation and long-lived dynamical activity (long transients).
A.R. Smith III, Avinash Dhar, C.G. Langton, C.G. Langton, E. Berklamp, G. Vichniac, G.J. Klir, Gautam Mandal, J.E. Hopcroft, K. Cullik II, K. Cullik II, M. Minsky, N. Margolus, Porus Lakdawala, S. Wolfram, S. Wolfram, Spenta R. Wadia, W. Li   +17 more
core   +3 more sources

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Impartial games emulating one-dimensional cellular automata and undecidability [PDF]

, 2012
We study two-player \emph{take-away} games whose outcomes emulate two-state one-dimensional cellular automata, such as Wolfram's rules 60 and 110. Given an initial string consisting of a central data pattern and periodic left and right patterns, the rule
Larsson, Urban
core   +2 more sources

From one pattern into another: analysis of Turing patterns in heterogeneous domains via WKBJ [PDF]

Journal of the Royal Society Interface, 2019
Pattern formation from homogeneity is well studied, but less is known concerning symmetry-breaking instabilities in heterogeneous media. It is non-trivial to separate observed spatial patterning due to inherent spatial heterogeneity from emergent ...
Andrew L. Krause, V. Klika, T. Woolley, E. Gaffney   +3 more
semanticscholar   +1 more source

Interconnected Turing patterns in three dimensions [PDF]

Physical Review E, 2005
We study numerically the Turing pattern in three dimensions in a FitzHugh-Nagumo-type reaction-diffusion system. We have found that interconnected periodic domain structures such as a gyroid, Fddd, and perforated lamellar structures appear in three dimensions, which never exist in lower dimensions.
Shoji, H, Yamada, K, Ohta, T
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source