Results 131 to 140 of about 72,837 (301)

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

Ant colony optimization based simulation of 3d automatic hose/pipe routing

, 2009
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.This thesis focuses on applying one of the rapidly growing non-deterministic optimization algorithms, the ant colony algorithm, for simulating automatic ...
Thantulage, Gishantha I F
core  

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source

Enhanced Photocatalytic H2O2 Production on Terpyridine‐Based Acrylonitrile‐Linked Covalent Organic Frameworks with Asymmetric Localized Electron Distribution

Advanced Materials, EarlyView.
Asymmetric localized electron distribution has been optimized in covalent organic frameworks to enhance *O2 adsorption and facilitate charge transfer, boosting photocatalytic two‐electron transfer oxygen reduction toward H2O2 production from water and air.
Qinglan Zhao, Mengmeng Ce, Hengtao Lei, Tianyun Jin, Zhipeng Xie, Yushen Liu, Shengyi Yang, Xinwen Ou, Mohammad Farhadpour, Song‐Zhu Kure‐Chu, Xuan‐He Liu, Liang Zhang, Jimmy C. Yu   +12 more
wiley   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Multilayered Digital Microfluidic Chip for Cell‐Based Assays

Advanced Materials Interfaces, EarlyView.
A multilayered digital microfluidic (mDMF) chip architecture is introduced to improve throughput and robustness in cell‐based assays. By multilayering electrode components and dielectric layers on glass, this design significantly reduces actuation voltage, maintains reliability, and enables expansion of the operational area with minimum current leakage.
Mert Ozden, Oksana K. Savchak, Burcu Gumuscu   +2 more
wiley   +1 more source

Applications of artificial intelligence in electrical engineering Advances in computational intelligence and robotics (ACIR) book series./ [edited by] Saifullah Khalid.

, 2020
Includes bibliographical references and index."This book explores advancements in artificial intelligence with a focus on its application engineering"--Chapter 1.
Khalid Saifullah
core  

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Design and research of heat dissipation system of electric vehicle lithium-ion battery pack based on artificial intelligence optimization algorithm

Energy Informatics
This research focuses on the design of heat dissipation system for lithium-ion battery packs of electric vehicles, and adopts artificial intelligence optimization algorithm to improve the heat dissipation efficiency of the system.
Qingwei Cheng, Henan Zhao
doaj   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source