Results 131 to 140 of about 156,769 (285)

Synergistic Compatibilization of CsPbBr3 Perovskites and HfO2 Nanocrystals for Hybrid Sensitized Nanoscintillators

Advanced Functional Materials, EarlyView.
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni, Saptarshi Chakraborty, Andrea Fratelli, Abdessamad El Adel, Jordi Llusar, Francesco Carulli, Matteo L. Zaffalon, Chenger Wang, Vojtech Zabloudil, Etiennette Auffray, Francesco Meinardi, Leonardo Poletti, Laura Lazzarini, Daniela Manno, Anna Galli, Francesca Rossi, Ivan Infante, Sergio Brovelli   +17 more
wiley   +1 more source

A Two-Stage Multi-Objective Optimization Algorithm for Solving Large-Scale Optimization Problems

Algorithms
For large-scale multi-objective optimization, it is particularly challenging for evolutionary algorithms to converge to the Pareto Front. Most existing multi-objective evolutionary algorithms (MOEAs) handle convergence and diversity in a mutually ...
Jiaqi Liu, Tianyu Liu
doaj   +1 more source

Electrochemical Abuse‐Driven Thermal Runaway in Lithium‐Ion Batteries: Evolution From Beginning‐of‐Life to End‐of‐Life

Advanced Functional Materials, EarlyView.
Electrochemical abuse transforms thermal runaway behavior in lithium‐ion batteries. Through systematic decoupling of degradation mechanisms, this study reveals that lithium plating lowers the onset temperature by 10 °C, electrolyte consumption delays high‐temperature reactions, and capacity fade reduces total heat generation. These mechanistic insights
San Hwang, Sungjae Seo, Munsoo Song, Chihyun Nam, Juwon Kim, Yujeong Hwang, Songha Seo, Jaejung Song, Sugeun Jo, Hongjin Lim, Sung Pil Woo, SoHee Kim, Jongwoo Lim   +12 more
wiley   +1 more source

Intelligent high-type control based on evolutionary multi-objective optimization

Measurement + Control
In this paper, we formulate high-type intelligent control as a multi-objective problem and apply evolutionary algorithms to search for optimal solutions. Specifically, we consider the metrics of the system in both the frequency domain and the time domain.
Hanwen Zhang, Qiong Liu, Yao Mao
doaj   +1 more source

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment

Advanced Functional Materials, EarlyView.
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li, Yifan Pan, Chikahiro Imashiro, Chaolun Xu, Jianxian He, Jingao Xu, Kewei Song, Ze Zhang, Chen Gao, Junbo Jiang, Runhuai Yang, Kayo Hirose, Shinjiro Umezu   +12 more
wiley   +1 more source

Population Feasibility State Guided Autonomous Constrained Multi-Objective Evolutionary Optimization

Mathematics
Many practical problems can be classified as constrained multi-objective optimization problems. Although various methods have been proposed for solving constrained multi-objective optimization problems, there is still a lack of research considering the ...
Mingcheng Zuo, Yuan Xue
doaj   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Adaptive normal vector guided evolutionary multi- and many-objective optimization

Complex & Intelligent Systems
Most existing multi-objective evolutionary algorithms relying on fixed reference vectors originating from an ideal or a nadir point may fail to perform well on multi- and many-objective optimization problems with various convexity or shapes of Pareto ...
Yicun Hua, Qiqi Liu, Kuangrong Hao
doaj   +1 more source

Two-Stage Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization

Mathematics
The core issue in handling constrained multi-objective optimization problems (CMOP) is how to maintain a balance between objectives and constraints. However, existing constrained multi-objective evolutionary algorithms (CMOEAs) often fail to achieve the ...
Kai Zhang, Siyuan Zhao, Hui Zeng, Junming Chen   +3 more
doaj   +1 more source