Results 41 to 50 of about 79,920 (249)

All‐PEG‐Like Block Copolymers Self‐Assemble into Stealth Nanocarriers for Drug Delivery

Advanced Science, EarlyView.
Self‐assembling nanoparticles composed entirely of POEGMA are engineered by exploiting side‐chain–dependent amphiphilicity and tunable thermoresponsive behavior. These single‐material nanocarriers encapsulate diverse hydrophobic drugs with high efficiency, retain therapeutic activity, improve in vivo efficacy, and evade anti‐PEG antibodies.
Parul Sirohi, Brooke E. Silverstein, Yulia Shmidov, Sonal Deshpande, Joy Tong, Yvonne Y. Ma, Chinmay S. Potnis, Soumen Saha, Xinghai Li, Max R. Ney, Sarah Y. Kim, Joshua J. Milligan, Lixin Fan, Matthew L. Becker, Daniel Reker, Ashutosh Chilkoti   +15 more
wiley   +1 more source

Particle Swarm Optimization for Solving Nonlinear Programming Problems [PDF]

, 2015
In the beginning we provide a brief introduction to the basic concepts of optimization and global optimization, evolutionary computation and swarm intelligence.
Maharana , Rakesh
core  

Node placement in Wireless Mesh Networks: a comparison study of WMN-SA and WMN-PSO simulation systems [PDF]

, 2016
(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard, Ikeda, Makoto, Oda, Tetsuya, Sakamoto, Shinji, Woungang, Isaac, Xhafa Xhafa, Fatos   +5 more
core   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Large‐Aperture Polarization‐Independent Broadband Achromatic All‐Dielectric Metalens for Terahertz Focusing

Advanced Science, EarlyView.
A large‐aperture, high focusing efficiency and polarization‐independent THz single‐layer achromatic metalens is reported via discrete multi‐wavelength achromatic design and global optimization algorithm. The fabricated metalens exhibits a largest diameter of 2.21 cm, excellent achromatic performance, extremely high average focusing efficiency (> 46 ...
Xiaoqiang Jiang, Xu Chen, Zechuan Bin, Fu Tang, Min Hu, Manman Li, Baoli Yao   +6 more
wiley   +1 more source

Evaluation of the effects of the body on athletes’ emotions and motivational behaviors from the perspective of big data public health

Frontiers in Psychology
ObjectiveAn analysis was conducted on the impact of the body on athletes’ emotions and motivation from the perspective of Public Health (PH).MethodsPSO-KNN (Particle Swarm Optimization-K-Nearest Neighbor) algorithm and PSO-SVM algorithm (Particle Swarm ...
Qiang Zhang, Diandong Lian, Yiqiao Zhang
doaj   +1 more source

Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima [PDF]

, 2012
Copyright @ Elsevier Inc. All rights reserved.Multimodal optimization problems pose a great challenge of locating multiple optima simultaneously in the search space to the particle swarm optimization (PSO) community.
Beasley, Clerc, Dingwei Wang, Kennedy, Li, Lili Liu, Mendes, Poli, Rajac, Rashedi, Shengxiang Yang, Trelea, Tripathi, Van Dam, van den Bergh, Wang   +15 more
core   +2 more sources

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

A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN)

Journal of King Saud University: Computer and Information Sciences, 2019
Neural Network (NN), hybrid NN methods and Rotation Forest (RF) ensemble classifier are preferred in pattern analysis owing to their ability for finding efficient solutions on different problems.
Rahime Ceylan, Hasan Koyuncu
doaj   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source