Results 201 to 210 of about 15,297,754 (301)

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

An explainable long short-term memory network for surgical site infection identification. [PDF]

Surgery
Kiser AC, Shi J, Bucher BT.
europepmc   +1 more source

Ground Reaction Force and Moment Estimation through EMG Sensing Using Long Short-Term Memory Network during Posture Coordination. [PDF]

Cyborg Bionic Syst, 2023
Sakamoto SI, Hutabarat Y, Owaki D, Hayashibe M.   +3 more
europepmc   +1 more source

Life‐Like Ferrous Oxide Microspheres from Kombucha

Advanced Materials Interfaces, EarlyView.
Kombucha bacterial cellulose, sodium alginate, and ferrous nitrate self‐assemble into membrane‐enclosed iron oxide microspheres. These microspheres bud daughter vesicles, sustain 24‐h electrochemical oscillations, and filter theta‐band signals.
Panagiotis Mougkogiannis, Anna Nikolaidou, Andrew Adamatzky   +2 more
wiley   +1 more source

Fault detection of taper roller bearings using tunable Q-factor wavelet transform and fault classification using long-short-term memory network. [PDF]

Sci Rep
Anwarsha A, T NB.
europepmc   +1 more source

Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network. [PDF]

Can J Infect Dis Med Microbiol, 2022
Shen L, Jiang C, Sun M, Qiu X, Qian J, Song S, Hu Q, Yelixiati H, Liu K.   +8 more
europepmc   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A Method for the Spatial Interpolation of EEG Signals Based on the Bidirectional Long Short-Term Memory Network. [PDF]

Sensors (Basel)
Hu W, Ji B, Gao K.
europepmc   +1 more source

Evolving Long Short-Term Memory Network-Based Text Classification.

Comput Intell Neurosci, 2022
Singh A, Dargar SK, Gupta A, Kumar A, Srivastava AK, Srivastava M, Kumar Tiwari P, Ullah MA.   +7 more
europepmc   +1 more source