Fretting Fatigue Life Prediction of Dovetail Structure Based on Plastic Effect and Sensitivity Analysis of Influencing Factors. [PDF]
Zhou J, Yang B, Li S, Huo J.
europepmc +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Low Cycle Fatigue Life Prediction for Hydrogen-Charged HRB400 Steel Based on CPFEM. [PDF]
Zeng B, Wei XF, Tan JZ, Zhang KS.
europepmc +1 more source
A Comparative Investigation of Machine Learning Algorithms for Pore-Influenced Fatigue Life Prediction of Additively Manufactured Inconel 718 Based on a Small Dataset. [PDF]
Hu BL, Luo YW, Zhang B, Zhang GP.
europepmc +1 more source
The Mind From Within: Visceral Roots of Human Cognition
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti +1 more
wiley +1 more source
Enhanced Chroma-YOLO Framework for Effective Defect Detection and Fatigue Life Prediction in 3D-Printed Polylactic Acid. [PDF]
Wang L, Liu Z, Lv T, Wang X, Qiu T.
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Research on Fatigue Life Prediction Method of Spot-Welded Joints Based on Machine Learning. [PDF]
Li S, Zhan Z, Zou J, Wang Z.
europepmc +1 more source
Fatigue Life Prediction of Machined Specimens with the Consideration of Surface Roughness. [PDF]
Zhu X, Dong Z, Zhang Y, Cheng Z.
europepmc +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source

