Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Research on the Model for the Friction Coefficient of Resin-Based Friction Material and Its Experimental Verification. [PDF]
Materials (Basel), 2023 Fang S, Xiao W, Chen K, Song X.
europepmc +1 more source
Advanced Materials, EarlyView.Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang +5 more
wiley +1 more source
Load capacity of a new rope-climbing robot
MATEC Web of Conferences, 2017 Theoretical analysis and experimental research are carried out on the load capacity of one new kind rope-climbing robot, this robot could lift load along the rope depends on the friction between rope and wheel of the robot.
Yin Hao +3 more
doaj +1 more source
Static friction coefficient depends on the external pressure and block shape due to precursor slip. [PDF]
Sci Rep, 2023 Iwashita W, Matsukawa H, Otsuki M.
europepmc +1 more source
Advanced Materials, EarlyView.Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Influence of TiN Coating on the Drawing Force and Friction Coefficient in the Deep Drawing Process of AlMg4.5Mn0.7 Thin Sheets. [PDF]
Materials (Basel), 2023 Djordjević MT +7 more
europepmc +1 more source
Field‐Programmable Mobile Magneto‐Photonic Metaparticles for Active Light Manipulation and Steering
Advanced Materials, EarlyView.We report magneto‐photonic metaparticles that integrate magnetic actuation with nanoimprinted metagratings, enabling mobile and programmable beam steering in aqueous environments. This platform achieves real time, directional light control beyond static or line‐of‐sight systems, while remaining compatible with scalable fabrication, providing a ...
Seung Yeol Lee, Yujie Luo, Ognjen Ilic
wiley +1 more source
Thermomechanical Simulation of Orthogonal Metal Cutting with PFEM and SPH Using a Temperature-Dependent Friction Coefficient: A Comparative Study. [PDF]
Materials (Basel), 2023 Rodríguez Prieto JM +2 more
europepmc +1 more source
The Friction Coefficient of Fasteners
Transactions of the Japan Society of Mechanical Engineers, 1977 (1) The influence of the tightening velocity on the friction coefficient of fastener μ was investigated. (2) The influence on μ of the lubrication state, the surface treatment and the material combination of bolts and nuts was examined from the viewpoints of the central tendency and the dispersion.
openaire +3 more sources