Results 71 to 80 of about 1,307,014 (250)

Influence of slurry on lapping SiC workpiece by using fixed abrasives

Jin'gangshi yu moliao moju gongcheng, 2018
For efficient and stable machining the SiC workpiece, slurries containing SiC particles are used to assist precision lapping SiC with hydrophilic fixed abrasive pad.
JIN Zhenhong, ZHU Yongwei, MO Honglei, WANG Zikun   +3 more
doaj  

Wafer‐Scale Dendritic Nanoporous Platinum Films for Neural Electrodes

Advanced Science, EarlyView.
Wafer‐scale dendritic nanoporous platinum films with intrinsic nanoscale porosity are synthesized by suraface‐confined wet chemistry and transferred onto flexible substrates to create tissue‐conformal neural electrodes. The ultrathin films combine mechanical flexibility with electrochemical stability, enabling low‐impedance, high‐capacitance interfaces
Kyeongbin Kang, Joosung Oh, Soumen Dutta, Sun Woo Jang, Byeong Su Gu, Woosung Cho, Mingyu Kwak, Sunguk Hong, Seongjae Lee, Hyo Kyoung Jeon, Juwan Han, Keehoon Kim, Sung‐Min Park, Unyong Jeong, In Su Lee   +14 more
wiley   +1 more source

Meningeal Lymphatic LTBR Deficiency Links Spinal Cord Injury to Secondary Brain Pathology

Advanced Science, EarlyView.
Spinal cord injury (SCI) induces remote brain alterations beyond the injured spinal cord. This study links dysfunction of meningeal lymphatic vessels (mLVs) to neuroinflammation and neuronal injury after SCI. LTBR‐mediated lymphatic restoration improves meningeal lymphatic integrity and neurological outcomes, highlighting LTBR as a potential regulator ...
Yi Chen, Yu Tang, Chengpeng Hu, Xiaoyan Duan, LingXia Min, Boya Cong, Chao Ma, Mingliang Tan, Ya Luo, Pengfei Wei, Minpeng Xu, Zhou Feng, Jingming Hou   +12 more
wiley   +1 more source

MoS2 Memristors Made by Liquid–Liquid Interface Assembly and Ultraprecise Metal Printing

Advanced Electronic Materials, EarlyView.
A cleanroom‐free, fully additive fabrication route combines ultraprecise printed silver electrodes with Langmuir–Schaefer‐deposited bilayer MoS2 to realize ultralow‐power resistive switching devices. The resulting microscale memories exhibit low operating voltages, a large memory window, stable retention and endurance, demonstrating a scalable and cost‐
Miguel Franco, Daniel Neves, Dorina T. Papanastasiou, Jonas Deuermeier, Tomás Calmeiro, Tomás Mingates, Adam Kelly, Joseph Neilson, Eugénie Martinez, Zdeněk Sofer, Elvira Fortunato, Rodrigo Martins, Emanuel Carlos, Asal Kiazadeh   +13 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Thermally Drawn Bioelectric Catheters: Enabling Proprioceptive Endovascular Navigation

Advanced Intelligent Systems, EarlyView.
This work introduces a novel bioelectric navigation system eliminates the need for harmful fluoroscopy during endovascular surgeries. A bespoke 16‐electrode catheter is fabricated using rapid thermal drawing and laser micro‐machining. Paired with a real‐time tracking algorithm fusing vascular geometry detection and distance estimation, this technology ...
Alex Ranne, Heiko Maier, Jinshi Zhao, Songli Moey, Ayhan Aktas, Manik Chana, Burak Temelkuran, Nassir Navab, Ferdinando Rodriguez y Baena   +8 more
wiley   +1 more source