Results 101 to 110 of about 127,682 (291)

Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review

Advanced Functional Materials, EarlyView.
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan, Mohammad Mehrali, Jaka Tušek, Shiva Mohajerani, Xiebin Wang, Dermot Brabazon, Mohammad Elahinia, Mehrshad Mehrpouya   +7 more
wiley   +1 more source

Chaotic particle swarm optimization with mutation for classification

Journal of Medical Signals and Sensors, 2015
In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space.
Zahra Assarzadeh, Ahmad Reza Naghsh-Nilchi   +1 more
doaj  

Sensorized Engineered Tissues with Built‐in Thermoregulation and Nutrient Supply

Advanced Functional Materials, EarlyView.
This work introduces a granular hydrogel‐based tissue engineering platform that includes a closed‐loop temperature control to maintain 37°C and sustainably releases nutrients, thereby enabling cells to retain a high viability even if stored at room temperature for up to 24 h.
Antonia Georgopoulou, Jakob Schreiner, Miriam Filippi, Aiste Balciunaite, Robert K. Katzschmann, Esther Amstad   +5 more
wiley   +1 more source

Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers

Advanced Functional Materials, EarlyView.
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley   +1 more source

Disordered Carbon Shells Enable Shape Dependent Fluorescence Enhancement in Nanodiamond Quantum Sensors Revealed by Correlative TEM–Fluorescence Microscopy

Advanced Functional Materials, EarlyView.
Molten KNO2 treatment induces a lowrefractive index disordered carbon shell on fluorescent nanodiamonds, enhancing fluorescence emission while preserving spin coherence. Machine learningassisted correlative TEMPL enables direct single‐particle resolution of this enhancement relative to air‐oxidized nanodiamonds of similar morphology, establishing a ...
Parkarsh Kumar, Tom Vaillant, Mehran Kianinia, Haotian Wen, Adam Stewart, Peter J. Reece, Hugues A. Girard, Jean‐Charles Arnault, Huan‐Cheng Chang, Igor Aharonovich, Shery L. Y. Chang   +10 more
wiley   +1 more source

Repulsive Particle Swarm Method on Some Difficult Test Problems of Global Optimization [PDF]

In this paper we test a particular variant of the (Repulsive) Particle Swarm method on some rather difficult global optimization problems. A number of these problems are collected from the extant literature and a few of them are newly introduced.
Mishra, SK
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Weak convergence of particle swarm optimization

, 2019
Particle swarm optimization algorithm is a stochastic meta-heuristic solving global optimization problems appreciated for its efficacity and simplicity.
Bruned, Vianney, Mas, André, Wlodarczyk, Sylvain   +2 more
core  

Adaptive particle swarm optimization algorithms

, 2008
This paper reviews the literature on the mechanisms foradapting parameters of particle swarm optimization (PSO) algorithm. The discussion focuses on the mechanisms for adaptively setting such parameters as inertia weight, acceleration constants, number of particles and number of iterations. Two mechanisms are proposed and tasted.
Ai, The Jin, Kachitvichyanukul, Voratas
openaire   +2 more sources

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source