Results 131 to 140 of about 470 (199)

Operando Electro‐Rheology: Unraveling Decoupled Ion Transport‐Mechanical‐Morphological Properties in Nanostructured Block Copolymer Electrolytes

Advanced Energy Materials, EarlyView.
A novel operando methodology, which combines simultaneous rheological and electrochemical measurements under dc polarization in a LiTFSI‐doped polystyrene‐block‐poly(ethylene oxide) block copolymer electrolyte, is developed. Time‐resolved monitoring of the viscoelastic and electrochemical responses to galvanostatic stimulus enables to elucidate the ...
Martino Airoldi, Mercedes Fernandez, Irune Villaluenga   +2 more
wiley   +1 more source

Modelling and simulation of fuel cell dynamics for electrical energy usage of Hercules airplanes. [PDF]

ScientificWorldJournal, 2014
Radmanesh H, Heidari Yazdi SS, Gharehpetian GB, Fathi SH.   +3 more
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

An NFC on Two-Coil WPT Link for Implantable Biomedical Sensors under Ultra-Weak Coupling. [PDF]

Sensors (Basel), 2017
Gong C, Liu D, Miao Z, Wang W, Li M.
europepmc   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

A Millimeter-Wave Digital Link for Wireless MRI. [PDF]

IEEE Trans Med Imaging, 2017
Aggarwal K, Joshi KR, Rajavi Y, Taghivand M, Pauly JM, Poon AS, Scott G.   +6 more
europepmc   +1 more source

Implantable Systems for Cardiovascular Treatment and Monitoring: Comparative Insights From Intracardiovascular and Extracardiovascular Technologies

Advanced Intelligent Systems, EarlyView.
A unifying device–cardiovascular interface framework is presented to classify implantable cardiovascular technologies as intracardiovascular blood‐contacting systems or extracardiovascular tissue‐only and blood‐handling architectures. Cross‐class comparison across shared semiquantitative criteria, including blood‐contact burden, biomimicry ...
Bergo Nicolò, Semproni Federica, Maselli Martina, Colli Andrea, Cianchetti Matteo, Ciuti Gastone, Stefanini Cesare, Menciassi Arianna   +7 more
wiley   +1 more source

A digitalized silicon microgyroscope based on embedded FPGA. [PDF]

Sensors (Basel), 2012
Xia D, Yu C, Wang Y.
europepmc   +1 more source

Beyond the Camera: Epidermal Sensor Platforms for Intelligent Facial Expression Recognition and Interactive Human Monitoring

Advanced Intelligent Systems, EarlyView.
Skin‐conformal epidermal sensors enable camera‐free intelligent facial monitoring by converting facial deformation and muscle activity into electrical signals through piezoresistive, capacitive, electrophysiologic, and self‐powered mechanisms. Coupled with artificial intelligence (AI), these platforms support facial expression recognition, human ...
Jeehyun Joung, Manchi Nagaraju, Jun‐Gyu Choi, Jaeil Park, Sungjun Park, Daegun Kim   +5 more
wiley   +1 more source