Results 151 to 160 of about 9,489 (295)
This study investigates friction and wear of AISI 52100 steel under dry sliding in CO2, air, and N2 atmospheres, with and without contact electrification. CO2 forms a stable carbon‐rich tribofilm that reduces friction by ∼30% and wear by ∼85%. High‐resolution TEM, EELS, and molecular dynamics reveal pressure‐dependent lubrication mechanisms, showing ...
Julio A. Cao‐Romero‐Gallegos +6 more
wiley +1 more source
Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park +4 more
wiley +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Low-Load endoluminal navigation with a magnetically actuated medical soft microrobot. [PDF]
Guerra J +4 more
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks. [PDF]
Xiao X, Fang X.
europepmc +1 more source
Operational Guidance with Respect to Pure Loss of Stability and Parametric Rolling
This paper reviews two previously presented simplified methods for assessment of pure loss of stability and parametric rolling based on linear signal theory.
Palmquist, Mikael +3 more
core
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Proactive soft-failure prediction in optical transport networks via physics-inspired features and Infrastructure-as-Code orchestration. [PDF]
Ali OM +3 more
europepmc +1 more source
An Estimation of the Anti-Rolling Tank Performance for Parametric Rolling Prevention
Hirotada Hashimoto +2 more
openaire +2 more sources

