Results 61 to 70 of about 14,349 (287)
Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries
Advanced Energy Materials, EarlyView.Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization
Complexity, 2020 Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. Thus, inspired by nature, metaheuristic algorithms can be utilized as a new kind of problem solvers in solution to these types of
Feng Qian +4 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
A New Conjugate Gradient for Efficient Unconstrained Optimization with Robust Descent Guarantees
Wasit Journal of Computer and Mathematics ScienceThe Conjugate Gradient method is a powerful iterative algorithm aims to find the minimum of a function by iteratively searching along conjugate directions.
Hussein Saleem Ahmed
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Insect‐scale crawling robots can traverse confined environments; nevertheless, their functionalities are predominantly restricted to sensing because of challenges in integrating actuated degrees of freedom. Herein, a miniature rotary electrostatic clutch is presented by incorporating cutting patterns in the clutch layer.
Jongeun Lee +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley +1 more source
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Advanced Intelligent Systems, EarlyView.Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis. [PDF]
Front Comput Neurosci, 2022 Jaffar F +4 more
europepmc +1 more source