Results 91 to 100 of about 69,679 (307)

The Output Prediction of a Boost DC-DC Converter Using Machine Learning Approaches

, 2023
boost DC to DC converter is a converter with an output voltage greater than the input voltage. A boost converter is also known as a step-up converter since it "steps up" the input voltage.
Zlatev, Zoran, Hinov, Nikolay, Kocaleva, Mirjana   +2 more
core  

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Design and Implementation of a Transformer Winding Machine with Buck-Boost Converter-Based DC Motor Drive

Rekayasa
This research presents the design and implementation of a high-frequency transformer winding machine driven by a DC motor with a Buck-Boost converter to produce transformers accurately and efficiently.
Muhammad Rizani Rusli, Gigih Prabowo, Taufiqurrahman Taufiqurrahman, Arman Jaya, Syechu Dwitya Nugraha, Era Purwanto   +5 more
doaj   +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

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Investigation of torque characteristics in a novel permanent magnet flux switching machine with an outer-rotor configuration [PDF]

, 2014
This paper comprehensively investigates the torque characteristics of a novel permanent magnet flux switching machine with outer-rotor configuration.
Miao, Dong-Min, Shen, Jian-Xin, Luk, Patrick Chi-Kwong, Fei, Wei-Zhong   +3 more
core   +1 more source

All‐Polyimide‐Mediated Liquid Metal Assembly on Aerogels for Breathable and Robust Electronic Skins

Advanced Materials, EarlyView.
An all‐polyimide‐mediated assembly strategy resolves the fundamental conflict between physiological breathability and electromechanical robustness in wearable electronics. By integrating a polyamic acid‐encapsulated liquid metal ink onto an ultralight polyimide aerogel, imidization‐induced contraction enables low‐temperature conductive activation and ...
Haijun Zhu, Jiancheng Dong, Hao Qiu, Je Hyeong Kim, Xingyu Liu, Shiyin Lin, Mengting Zheng, Chang Zhou, Yuduo Zhang, Jiayu Hou, Kangjia Geng, Yuchen Wang, Yidong Peng, Haoran Liu, Guanzheng Wu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +18 more
wiley   +1 more source

Magnet Shape Optimization to Reduce Pulsating Torque for a Five-Phase Permanent-Magnet Low-Speed Machine [PDF]

, 2014
The author would like to thank S. Djebarri from the Research Institute of Naval Academy for his help with computing the machines with FEA program FEMM and F.
SCUILLER, Franck
core   +1 more source

Research on Characteristic Analysis and Identification Methods for DC-Side Grounding Faults in Grid-Connected Photovoltaic Inverters

Energies
The analysis and accurate identification of DC-side grounding faults in grid-connected photovoltaic (PV) inverters is a critical step in enhancing operation and maintenance capabilities and ensuring the safe operation of PV grid-connected systems ...
Wanli Feng, Lei Su, Cao Kan, Mingjiang Wei, Changlong Li   +4 more
doaj   +1 more source