Results 101 to 110 of about 2,419,332 (252)
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Advanced Electronic Materials, EarlyView.Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Applied SciencesThe contemporary optimal design methodologies must be aligned with actual operating conditions of the structures, like, for example, load uncertainty—a situation which often occurs in engineering problems.
Bogdan Bochenek +1 more
doaj +1 more source
AIChE Journal, EarlyView.ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
Distributed MA‐IDDPG‐OLSR based stable routing protocol for unmanned aerial vehicle ad‐hoc network
IET CommunicationsIn unmanned aerial vehicle ad‐hoc network (UANET), the node speed of unmanned aerial vehicles (UAVs) may reach up to 400 km/h. The fast or slow movement of UAV nodes leads to different speeds of topology change of the nodes.
Youjun Zeng +6 more
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Computer Assisted Methods in Engineering and Science, 2020 This issue of CAMES is dedicated to the memory of Professor Witold Gutkowski in recognition of his vision, leadership, and contributions to the field of Structural Optimization.
Bartłomiej Błachowski, Piotr Tauzowski
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
An Intelligent Mapping Algorithm for Solving the IP Mapping Problem
Tsinghua Science and TechnologyThe intellectual property (IP) mapping problem is a non-deterministic polynomial-time (NP)-hard problem in network-on-chip (NoC) designs. To explore the vast solution space intelligently, this paper investigates leveraging knowledge stored in the ...
Qingkun Chen, Jiahao Zhao
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Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
Advanced Intelligent Discovery, EarlyView.A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley +1 more source
Mean-Square Convergence of Particle Swarm Optimization via Stochastic Momentum Analysis
MathematicsWe analyze the standard multi-particle particle swarm optimization (PSO) algorithm with global-best (all-to-all) topology and constant hyperparameters on smooth strongly convex objectives.
Boris Budak, Georgii Vorontsov
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