Results 161 to 170 of about 616,628 (303)

Highly Selective Toward HER or CO2RR by Regulating Cu Single and Dual Atoms on g‐C3N4

Advanced Functional Materials, EarlyView.
This systematic study provides insights into the design of electrocatalysts for hydrogen evolution reaction (HER) and carbon dioxide reduction (CO2RR). It serves as a useful guide for tuning catalyst architecture toward efficient multifunctional performance by varying synthetic parameters, demonstrating the impact of copper (Cu) species ranging from ...
Wan‐Ting Chen, Hung Wei Shiu, Yu‐Xun Chen, Erdembayalag Batsaikhan, Yu‐Ling Lai, Su Ling Cheng, Tohru Araki, Jyh‐Fu Lee, Michitoshi Hayashi, Yao‐Jane Hsu   +9 more
wiley   +1 more source

Existence of efficient and properly efficient solutions to problems of constrained vector optimization [PDF]

, 2020
Do Sang Kim, Boris S. Mordukhovich, Tiến-Sơn Phạm, Nguyễn Văn Tuyên   +3 more
openalex   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

Power optimization of planar redundant manipulator moving along constrained-end trajectory using hybrid techniques

, 2017
Mohamed Elshabasy, Khaled T. Mohamed, Atef A. Ata   +2 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Constrained optimization [PDF]

, 2003
  +4 more sources

Energy Constrained Optimization for Spreading Factor Allocation in LoRaWAN. [PDF]

Sensors (Basel), 2020
Narieda S, Fujii T, Umebayashi K.
europepmc   +1 more source

A gradient-type algorithm for constrained optimization with application to microstructure optimization

, 2019
Cristian Barbarosie, Anca-Maria Toader, Sérgio Lopes, ,Dep. Area of Mathematics, ISEL, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro, 1959-007 Lisboa, Portugal   +3 more
openalex   +2 more sources

A New Global Optimization Algorithm for Mixed-Integer Quadratically Constrained Quadratic Fractional Programming Problem [PDF]

, 2023
Bo Zhang, Gao Yue-lin, Xiaoming Liu, Xiaoli Huang   +3 more
openalex   +1 more source

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source