Results 81 to 90 of about 2,419,332 (252)

Feature-preserving synthesis of termite-mimetic spinodal nest morphology

iScience
Summary: Termite-built topology is complex due to group interactions and environmental feedback. Being interlinked with material characteristics and related to functionality, an accurate synthesis of termite mound topology has never been achieved.
Sebastian Oberst, Richard Martin
doaj   +1 more source

Reliability-Based Topology Optimization Based on Evolutionary Structural Optimization

, 2008
—This paper presents a Reliability-Based Topology Optimization (RBTO) based on Evolutionary Structural Optimization (ESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic
Jin-shik Yu, Sang-rak Kim, Won-goo Lee, Seog-young Han, Jea-yong Park   +4 more
core  

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

Advanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer, Juan P. Martinez, Yuxuan He, Giulio Galderisi, Katrin Pingen, Eduardo Sergio Oliveros‐Mata, Lisa Tellis, Cigdem Cakirlar, Christoph Beyer, Brojogopal Sapui, Joachim Knoch, Klaus Hofmann, Sandro Carrara, Eugenio Cantatore, Max C. Lemme, Ian O'Connor, Akash Kumar, Andre Heinzig, Thomas Mikolajick, Walter M. Weber   +19 more
wiley   +1 more source

UAV swarm communication networking and routing optimization for high-demand users: a graph attention multi-agent reinforcement learning approach

Autonomous Intelligent Systems
Unmanned aerial vehicle swarms serving ground high-demand communication users in dynamic environments must simultaneously optimize three-dimensional trajectories, communication network topology, and routing strategies while considering limited energy ...
Zhaopeng Ning, Gang Li, Wei Li
doaj   +1 more source

Hierarchical Optimization Framework for Layout Design of Star–Tree Gas-Gathering Pipeline Network in Discrete Spaces

Algorithms
The gas-gathering pipeline network is a critical infrastructure for collecting and conveying natural gas from the extraction site to the processing facility. This paper introduces a design optimization model for a star–tree gas-gathering pipeline network
Yu Lin, Yanhua Qiu, Hao Chen, Jun Zhou, Jiayi He, Penghua Du, Dafan Liu   +6 more
doaj   +1 more source

A new data-driven topology optimization framework for structural optimization

, 2020
The application of structural topology optimization with complex engineering materials is largely hindered due to the complexity in phenomenological or physical constitutive modeling from experimental or computational material data sets.
Zhan, Haifei, Zhang, Weihong, Bai, Jinshuai, Zhu, Jihong, Gu, Yuantong, Zhou, Ying, Wang, Qingxia   +6 more
core   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

A Particle Swarm Optimization-Based Queue Scheduling and Optimization Mechanism for Large-Scale Low-Earth-Orbit Satellite Communication Networks

Sensors
The spatial topology of large-scale low-Earth-orbit satellite communication networks is dynamically time-variant, and the load on the output ports of network nodes is continuously changing.
Ziyong Zhang, Tao Dong, Jie Yin, Yue Xu, Zongyi Luo, Hao Jiang, Jing Wu   +6 more
doaj   +1 more source

Temporally Correlated Stochastic Spiking Neural Networks Enabled by 2D Ferroelectric Synapse‐Neuron Integration

Advanced Science, EarlyView.
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon, Ui Do Ji, Sangmin Lee, Gihyeon Bhin, Chang Yong Park, Ji‐Sang Park, Byungchul Jang, Sungjoo Lee   +7 more
wiley   +1 more source

Evaluating the Efficiency of Nature-Inspired Algorithms for Finite Element Optimization in the ANSYS Environment

Applied Sciences
Nature-inspired metaheuristics have proven effective for addressing complex structural optimization challenges where traditional deterministic or gradient-based methods often fall short.
Antonino Cirello, Tommaso Ingrassia, Antonio Mancuso, Giuseppe Marannano, Agostino Igor Mirulla, Vito Ricotta   +5 more
doaj   +1 more source