Results 61 to 70 of about 543,167 (217)
Isotropic-nematic spinodal decomposition kinetics [PDF]
The initial stage of isotropic-nematic spinodal demixing kinetics of suspensions of very long and thin, stiff, repulsive rods is analyzed on the basis of the N-particle Smoluchowski equation. Equations of motion for the reduced probability density function of the position and orientation of a rod are expanded up to second order in spatial gradients and
Dhont, J. K. G., Briels, W. J.
openaire +4 more sources
Photothermal bubble: Dynamics, manipulation, and applications
As a versatile platform for bubble manipulation, photothermal techniques empower diverse operations: planar translation by scanning the laser spot, sustained periodic bouncing from competing thermal and hydrodynamic flows, and even guided 3D trajectories achieved by tailoring the heating configuration.
Man Hu, Feng Wang, Daosheng Deng
wiley +1 more source
This review highlights the critical regulatory role of liquid and solid additives in the film formation kinetics of organic solar cells (OSCs) active layer. Real‐time in situ characterization technology techniques (in situ UV‐Vis, PL, GIWAXS, and GISAXS) are utilized to monitor the dynamic solution‐to‐solid transformation, revealing how additives ...
Yuanwei Zhao +8 more
wiley +1 more source
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li +8 more
wiley +1 more source
Mesoscale fluid simulation with the Lattice Boltzmann method [PDF]
PhDThis thesis describes investigations of several complex fluid effects., including hydrodynamic spinodal decomposition, viscous instability. and self-assembly of a cubic surfactant phase, by simulating them with a lattice Boltzmann computational ...
Chin, Jonathan
core +2 more sources
This study breaks extrapolation barriers in alloy design by merging symbolic regression with latent space sampling. The dual‐strategy framework enables accurate prediction of high‐hardness properties and navigates uncharted compositional spaces. The approach successfully designs novel high‐entropy alloys with hardness exceeding 863.5 HV, demonstrating ...
Zhigang Yu +6 more
wiley +1 more source
Transition metal carbides exhibit outstanding mechanical properties but suffer from a critical hardness‒toughness trade-off. Spinodal decomposition-mediated phase separation, induced by high-temperature aging, is an effective strategy for enhancing the ...
Zhixuan Zhang +6 more
doaj +1 more source
Machine Learning‐Guided Design of Cu–Ni–Sn Alloys With Tailored Ni3Sn/Ni3Sn2 Precipitates
To address the trade‐off between strength and conductivity in Cu–Ni–Sn alloys, this study proposes a new closed‐loop design strategy that integrates machine learning, thermodynamic calculations, and experimental verification from the perspective of “phase selectivity”, providing a new approach for multiphase control and synergistic improvement of multi‐
Fei Tan +10 more
wiley +1 more source
The emerging structures in spinodal dewetting of thin nano films and spinodal decomposition of binary mixtures are found to be similar with certain differences attributed to the nonlinearities inherent in the wetting forces.
Satya Pal Singh
doaj +1 more source
Photovoltaic Effect in a III‐IV‐V Compound Semiconductor
A large reduction of the GaAs band gap is obtained with incorporation of 6.5% Ge during epitaxy without introducing extended defects or composition inhomogeneity. Heterojunction solar cell devices were fabricated with 0.76‐V open circuit voltage and an internal quantum efficiency above 40% at energies below the bandgap of the GaAs emitter.
José M. Ripalda +13 more
wiley +1 more source

