Results 201 to 210 of about 37,426 (297)

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

The African Transport Systems Database - a geospatial database of multi-modal connected networks. [PDF]

Sci Data
Colombo S, Pant R, Young M, Thomas F, Russell T, Verschuur J, Hall JW.   +6 more
europepmc   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Tracing the geopolitical influences on the morphological and functional transformation in Guangdong merchant ships: Knowledge mining from the Ming and Qing maritime archives. [PDF]

PLoS One
Ao J, Zhao M, Li W, Feng S, Ye Z, Xu Z, Ji S.   +6 more
europepmc   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

Optimization of a wet-cell electrolyzer for efficient oxyhydrogen (HHO) gas production: a step towards sustainable green energy solutions. [PDF]

Sci Rep
Fayez NHA, Qenawy M, Mustafa HMM, Shehadeh M, Taha M, Abdelbaky Elbatran AH.   +5 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Maritime sector pathways toward net-zero emissions within global energy scenarios. [PDF]

Sci Rep
Kramel D, Krey V, Fricko O, Maczek F, Muri H, Strømman AH.   +5 more
europepmc   +1 more source

System Identification of Robotic Fish Swimming Reveals Roles of Reactive and Resistive Fluid Force in Two Distinct Swimming Gaits

Advanced Intelligent Systems, EarlyView.
System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li, Hankun Deng, Kundan Panta, Azar Panah, Bo Cheng   +4 more
wiley   +1 more source

Incorporation of Novel Synthetic Glycolipids in Liposomal Nanoparticles Affects Opsonization and In Vivo Clearance

Angewandte Chemie, EarlyView.
We prepared five glycosylated liposomal nanoparticles (G‐LNPs) to investigate the role of glycosylation and protein corona in modulating the in vivo behavior of G‐LNPs. We show that IgG and complement C3 adsorption enhanced liposomal nanoparticle clearance, with IgG promoting subsequent C3 binding.
Yingjie Yu, Xuehan Li, Yu Gao, Shijia Tao, Xiaofei Li, Lemei Zhao, Wenshuai Han, Hao Fan, Ying Qiu, Man Wang, Luying Zhou, Xiaoyan Fang, Wenhua Yang, Haiyang Zhang, Volker Mailänder, Daniel Crespy, Katharina Landfester, Shuai Jiang, Xiangzhao Mao   +18 more
wiley   +2 more sources