Results 171 to 180 of about 1,259,129 (312)

Low-Speed Permanent Magnet Synchronous Motor Rotor Position Estimation Using Structural Vibration Modal Phase Carrier. [PDF]

Sensors (Basel)
Yu L, Yuan X, Ou J.
europepmc   +1 more source

MTPA control of permanent magnet synchronous motor based on dual-vector model predictive control. [PDF]

PLoS One, 2022
Jin N, Wang C, Sun D, Li Z, Zhou K.
europepmc   +1 more source

Multi‐Li+ Coordination for Superior Room‐Temperature Ionic Conductivity in PEO Solid Electrolytes

Advanced Materials, EarlyView.
A phosphonate‐functionalized polycarboxylate ether (P‐PCE) is introduced into PEO electrolytes to induce multi‐Li+ ions coordination, which effectively dissociates lithium salts, liberates Li+ from the strong chelation by PEO chains, and promotes fast Li+ hopping between adjacent coordination sites. Simultaneously, this design establishes dynamic, high‐
Hengming Yan, Bowen Zhang, Xuefan Liu, Lu Wang, Cunlong Hu, Anran Sheng, Congcong Zhang, Linglong Kong, Zhenzhen Wu, Yulin Zhong, Sheng Liu, Shanqing Zhang   +11 more
wiley   +1 more source

Correction: Research on simulation of permanent magnet synchronous motor in full speed range. [PDF]

PLoS One
PLOS One Staff.
europepmc   +1 more source

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder. [PDF]

Entropy (Basel), 2021
Xu X, Feng J, Zhan L, Li Z, Qian F, Yan Y.   +5 more
europepmc   +1 more source

Increasing Lipid Nanoparticle mRNA Copy Number Improves Transfection Potency

Advanced Materials, EarlyView.
As lipid nanoparticle (LNP) systems are the leading platform for in vivo nucleic acid delivery, improving transfection potency of these systems is of considerable interest. In this work, we explored a post‐mixing formulation method involving a two‐step buffer exchange that increased the number of mRNA copies within each LNP while reducing the number of
Yao Zhang, Jerry Leung, Judy Cheng, Arash Momeni, Albert Kamanzi, Ariadne Tuckmantel Bido, Suiyang Liao, Emma Kang, Colton Strong, Christian J. Kastrup, Sabrina Leslie, Miffy Hok Yan Cheng, Pieter R. Cullis   +12 more
wiley   +1 more source

Reinforcement learning-driven model predictive control for optimizing counter-rotating permanent magnet synchronous motor in submarine propulsion system. [PDF]

Sci Rep
Delelew EY, Dulecha KA, Ararso ZT, Abdissa CM.   +3 more
europepmc   +1 more source

Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning. [PDF]

Sensors (Basel), 2021
Wang CS, Kao IH, Perng JW.
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method. [PDF]

Sci Rep
Yu Y, Ge H, Carbone G, Zeng D, Hu Y, Yang J.   +5 more
europepmc   +1 more source