Results 61 to 70 of about 13,755 (295)

Multi‐Level Optical Physical Unclonable Function Based on Random Surface Scattering for Hierarchical Cryptographic Protocols

Advanced Science, EarlyView.
This study proposed physical unclonable function based multi‐level key space generation scheme. By exploiting speckle characteristic, a size‐controllable structure is achieved and that is suitable foundation for multiple key extraction. The flexible key space supports various specifications for advanced applications, such as hierarchical authentication
Jeong Jin Kim, Min Seong Kim, Gil Ju Lee
wiley   +1 more source

Distributed Inexact Consensus-Based ADMM Method for Multi-Agent Unconstrained Optimization Problem

IEEE Access, 2019
Recently, the alternating direction method of multipliers (ADMM) has been used effectively to solve the multi-agent unconstrained optimization problems, where the objective function is the sum of privately known local objective functions of agents.
Long Jian, Yiyi Zhao, Jiangping Hu, Peng Li   +3 more
doaj   +1 more source

Ultrafast Dynamics of Electronic and Structural Modifications Induced by Photoexcitation in Cerium Oxide

Advanced Electronic Materials, EarlyView.
The ultrafast dynamics of electronic and atomic structural evolution following band‐gap photoexcitation in a cerium oxide film are investigated using pump–probe X‐ray absorption near‐edge spectroscopy and etended X‐ray absorption fine structure at the European X‐ray Free Electron Laser.
Samuele Pelatti, Eleonora Spurio, Daniele Catone, Patrick O'Keeffe, Stefano Turchini, Giuseppe Ammirati, Fulvio Paleari, Daniele Varsano, Stefania Benedetti, Alessandro di Bona, Sergio D'Addato, Yifeng Jiang, Peter Zalden, Yohei Uemura, Hao Wang, Doriana Vinci, Xinchao Huang, Frederico Lima, Mykola Biednov, Dmitry Khakhulin, Christopher Jackson Milne, Federico Boscherini, Paola Luches   +22 more
wiley   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

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, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

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, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 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, Mohammad Reza Mahmoudi, Hamïd Parvïn, Kim-Hung Pho, Bui Anh Tuan   +4 more
doaj   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

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 Science
The 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

Centimeter‐Scale Magneto‐Reconfigurable Parallel Robots: A Grassmann Line Geometry Synthesis Framework for Multitask Adaptation Using Magneto‐Connected Part Library

Advanced Intelligent Systems, EarlyView.
A low‐cost, Lego‐like magneto‐connected part library is proposed, capable of rapidly assembling, disassembling, and reassembling compact, centimeter‐scale parallel robots with various motion types, balancing structural rigidity and reconfiguration agility.
Yunong Li, Bin Zhu, Wenchao Yue, Zhiwei Fang, Xiao Xiao, Hongliang Ren   +5 more
wiley   +1 more source