Results 101 to 110 of about 30,075 (285)
Entry times in automata with simple defect dynamics
In this paper, we consider a simple cellular automaton with two particles of different speeds that annihilate on contact. Following a previous work by K\r urka et al., we study the asymptotic distribution, starting from a random configuration, of the ...
De Menibus, Benjamin Hellouin+1 more
core +3 more sources
An LLM‐based multi‐agent network screens academic literature to propose multiple environmentally friendly aqueous deep eutectic electrolytes for zinc‐ion batteries. Experiments identify an optimal composition of Zn(BF4)2·xH2O and ethylene carbonate, which shows high conductivity and cycling stability.
Matthew J. Robson+4 more
wiley +1 more source
Explanation of exponential growth in self-reproduction is an important step toward elucidation of the origins of life because optimization of the growth potential across rounds of selection is necessary for Darwinian evolution.
Atsushi Kamimura, Kunihiko Kaneko
doaj +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong+12 more
wiley +1 more source
Probabilistic seismic hazard maps from seismicity patterns analysis: the Iberian Peninsula case [PDF]
Earthquake prediction is a main topic in Seismology. Here, the goal is to know the correlation between the seismicity at a certain place at a given time with the seismicity at the same place, but at a following interval of time.
A. Jiménez+7 more
doaj
Stochastic transition model for pedestrian dynamics
The proposed stochastic model for pedestrian dynamics is based on existing approaches using cellular automata, combined with substantial extensions, to compensate the deficiencies resulting of the discrete grid structure.
Schultz, Michael
core +1 more source
A Dynamic Spike Sorter for Multiscale Nanoelectrode Array Recordings
This work introduces a dynamic spike sorting pipeline that isolates diverse electrical signals from nanoelectrode arrays. Using biophysical simulations to calibrate signal processing, the approach reveals relationships between action potentials and membrane fluctuations, advancing the understanding of neuronal network excitability.
Shivani Shukla+8 more
wiley +1 more source
Critical Bottleneck Size for Jamless Particle Flows in Two Dimensions
We propose a simple microscopic model for arching phenomena at bottlenecks. The dynamics of particles in front of a bottleneck is described by a one-dimensional stochastic cellular automaton on a semicircular geometry.
Masuda, Takumi+2 more
core +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
wiley +1 more source
Stochastic Transition Model for Discrete Agent Movements
We propose a calibrated two-dimensional cellular automaton model to simulate pedestrian motion behavior. It is a v=4 (3) model with exclusion statistics and random shuffled dynamics.
A. Johansson+7 more
core +1 more source