Results 161 to 170 of about 248,313 (294)

Disaggregated machine learning via in-physics computing at radio frequency. [PDF]

Sci Adv
Gao Z, Vadlamani SK, Sulimany K, Englund D, Chen T.   +4 more
europepmc   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

Advanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa, Patrick Lévêque, Larbi Boubchir   +2 more
wiley   +1 more source

Radio-Frequency Characteristics of Stacked Metal-Insulator-Metal Capacitors in Radio-Frequency CMOS Devices. [PDF]

Micromachines (Basel)
Choi TM, Lee HR, Pyo SG.
europepmc   +1 more source

NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease

Advanced Science, EarlyView.
NDST3‐mediated epigenetic reprogramming revitalizes neuronal circuits in the substantia nigra and striatum to halt dopaminergic neuron degeneration and restore motor function in Parkinson's disease models. This strategy promotes neuronal maintenance and functional recovery, highlighting NDST3's therapeutic potential in neurodegenerative disorders ...
Yujung Chang, Yongwoo Na, Hyeonjoo Im, Garam Yang, Seungseon Yang, Hyun Soo Shim, Chunggoo Kim, GyeungYun Kim, Hyeok Ju Park, Hee Young Kim, Seung Eun Lee, Wonwoong Lee, Yoon Ha, Sungho Park, Jieun Kim, Won‐Young Cho, Woong Sun, Jong‐Seo Kim, Junsang Yoo   +18 more
wiley   +1 more source

Abnormal electromagnetic monitoring and electromagnetic spectrum data completion method based on original RF I/Q distribution characteristics. [PDF]

Sci Rep
Fan Y, Chen Z, Su T.
europepmc   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

Effect of nitrogen radio frequency plasma on the structure, dielectric anisotropy, and electrical performance of liquid crystal nanocomposite. [PDF]

Sci Rep
Khadem Sadigh M, Daneshfar A, Sayyar Z, Ranjkesh A.   +3 more
europepmc   +1 more source

A Review on Biodegradable Materials of Sustainable Soft Robotics and Electronics

Advanced Science, EarlyView.
Biodegradable materials are gaining increasing attention in soft robotics and electronics due to their environmental friendliness, showing great potential for sustainability. In this review, the classification of biodegradable materials, their applications in the field of soft robotics and electronics, as well as the challenges and future prospects ...
Yizhu Xie, Jiaxin Han, Xingyi Dai, Xuyang Zhang, Kangwen Xiao, Junhui Huang, Yajun Cao, Aihua Zhong, Long‐Biao Huang   +8 more
wiley   +1 more source

Electromagnetic (EM) metasurface with wireless signal control function fabricated by 3D printing. [PDF]

Microsyst Nanoeng
Lin Z, Zhang D, Ding W, Feng J, Yu L, Wang Z, Zhang N, Guo Q, Yang J.   +8 more
europepmc   +1 more source

A Hydrodynamic Bioreactor for High‐Yield Production of Extracellular Vesicles from Stem Cell Spheroids with Defined Cargo Profiling

Advanced Science, EarlyView.
This study harnesses hydrodynamic flows to generate, confine and stimulate stem cell spheroids, enabling the large‐scale production of extracellular vesicles (EVs). This innovative method not only streamlines spheroid formation and subsequent EV release in a single, integrated process, but also ensures the generation of EVs with enhanced biological ...
Solène Lenoir, Elliot Thouvenot, Giacomo Gropplero, Léonie Dec, Damarys Loew, Clotilde Théry, Jose E Perez, Claire Wilhelm   +7 more
wiley   +1 more source