Results 121 to 130 of about 2,419,433 (298)
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
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
Mean-Square Convergence of Particle Swarm Optimization via Stochastic Momentum Analysis
We 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
doaj +1 more source
Structural topology optimization with empirical constraints
This paper presents an integrated design process of structural topology optimization in minimizing both compliance and structural weight. The material volume fraction is assigned as an additional design variable subjected to the empirical stress ...
Shih, Chien‐jong +1 more
core +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
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
With increasing integration of renewable energy, traditional distribution networks face challenges such as low flexibility, poor response speed, and operational inefficiency. To address these issues, this paper proposes a two-layer optimization framework
Runquan He +3 more
doaj +1 more source
In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs
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
A Security‑Aware Collaborative Decision Optimization Algorithm for Multi‑UAV Systems
This paper addresses the dual challenge of security and robustness in collaborative decision-making for multi-UAV systems operating in dynamic and adversarial environments, where traditional approaches that decouple safety mechanisms from control ...
LI Yizhe +5 more
doaj +1 more source
Topology optimization of elastoplastic structures [PDF]
Topology optimization technique has been used as an efficient tool that optimizes material layout within a given space to obtain the desired functional performance.
Li, Mengxiao
core +1 more source
Design Optimization of Soft Fabric Pneumatic Actuators
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou +2 more
wiley +1 more source

