Results 91 to 100 of about 34,142 (266)

A Consensus Approach to Distributed Convex Optimization in Multi-Agent Systems [PDF]

, 2013
In this thesis we address the problem of distributed unconstrained convex optimization under separability assumptions, i.e., the framework where a network of agents, each endowed with local private convex cost and subject to communication constraints ...
Filippo Zanella, Zanella, Filippo
core  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Three-dimensional large-scale aerodynamic shape optimization based on shape calculus

, 2013
Large-scale three-dimensional aerodynamic shape optimization based on the compressible Euler equations is considered. Shape calculus is used to derive an exact surface formulation of the gradients, enabling the computation of shape gradient information ...
Schmidt, Stephan, Ilic, Caslav, Gauger, Nicolas, Schulz, Volker, Gauger, Nicolas Ralph   +4 more
core   +1 more source

Mathematical Simulation of Optimal Control Measures to Avoid Chickenpox Infection

International Journal of Mathematics and Mathematical Sciences
This work presents a comprehensive mathematical analysis of the chickenpox transmission model, including positivity, existence, invariant region, and uniqueness of the solution. We enhance the model by introducing optimal control measures using two time‐dependent control variables: prevention measures like vaccination and movement constraints, and ...
Nada A. Almuallem, Hegagi Mohamed Ali, Essam M. Elsaid, Mohamed R. Eid, W. S. Hassanin   +4 more
openaire   +2 more sources

Targeted Modulation of d‐Band Center in MoS2 Interlayer With n‐Type Co/Fe Dopants Accelerating Sulfur Reaction Kinetics in Lithium‐Sulfur Batteries

Advanced Materials, EarlyView.
A targeted modulation of the MoS2 electronic structure is achieved via substitutional n‐type Co/Fe co‐doping. This strategy triggers S‐mediated d‐p hybridization, optimizing the binding affinity with polysulfides to establish a volcano‐shaped relationship between the d‐band center and catalytic activity.
Junhyuk Ji, Sangyeon Won, Jaehyeong Yu, Nuri Moon, Dongwoo Kim, Junbeom Maeng, Won Bae Kim   +6 more
wiley   +1 more source

Model predictive control, the economy, and the issue of global warming [PDF]

This study is motivated by the evidence of global warming, which is caused by human activity but affects the efficiency of the economy. We employ the integrated assessment Nordhaus DICE-2007 model [16].
BRECHET, Thierry, CAMACHO, Carmen, VELIOV, Vladimir   +2 more
core  

A numerical evaluation of solvers for the periodic Riccati differential equation

, 2009
Efficient and accurate structure exploiting numerical methods for solving the periodic Riccati differential equation (PRDE) are addressed. Such methods are essential, for example, to design periodic feedback controllers for periodic control systems ...
Andras Varga, Varga, Andreas, Varga, Andras,, Varga, Andras, Sergei Gusev, Kagström, Bo, Anton Shiriaev, Gusev, Sergei,, Shiriaev, Anton,, Stefan Johansson, Johansson, Stefan, Shiriaev, Anton, Kågström, Bo,, Gusev, Sergei, Johansson, Stefan,   +14 more
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Optimal Control Strategies for a Mathematical Model of Pneumonia Infection

Computation
In this study, we formulate and analyze a deterministic mathematical model describing the transmission dynamics of pneumonia. A comprehensive stability analysis is conducted for both the disease-free and endemic equilibrium points. The disease-free equilibrium is locally and globally asymptotically stable when the basic reproduction number R0 < 1 ...
Nuwayyir Almutairi, Moustafa El-Shahed
openaire   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source