Results 141 to 150 of about 1,549,018 (268)

Random walk theory of jamming in a cellular automaton model for traffic flow [PDF]

, 2001
Robert Barlović, Andreas Schadschneider, Michael Schreckenberg   +2 more
openalex   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

A simple but effective cellular automaton for earthquakes [PDF]

, 2001
Silvia Castellaro, Francesco Mulargia
openalex   +1 more source

High Repetition Rate Laser‐Induced Printing of Bioink with Picosecond Pulse Durations: Optimization of the Printing Process

Advanced Engineering Materials, EarlyView.
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert, Adrien Casanova, Ahmed Al‐Kattan, Stefano Testa, Frédérique Magdinier, Anne‐Patricia Alloncle   +5 more
wiley   +1 more source

Cellular automaton model with turning behavior in crowd evacuation [PDF]

Physica A: Statistical Mechanics and its Applications, 2019
Daiki Miyagawa, G. Ichinose
semanticscholar   +1 more source

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Proposed experiment to assess operation of quantum cellular automaton cells [PDF]

, 2001
Massimo Macucci, M. Gattobigio, Giuseppe Iannaccone   +2 more
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

Two-Dimensional Burgers Cellular Automaton [PDF]

, 2001
Katsuhiro Nishinari, Junta Matsukidaira, Daisuke Takahashi   +2 more
openalex   +1 more source