Results 181 to 190 of about 20,457 (265)
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
A New Many-Objective Optimization Approach to Association Rule Mining: The NSGA-II/DE-ARM Algorithm. [PDF]
Kisman ZA, Demir G, Yuksel H, Alatas B.
europepmc +1 more source
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca +9 more
wiley +1 more source
<i>Microraptor</i> reveals specialized gliding capabilities in multiwinged early paravians. [PDF]
Hefler C +12 more
europepmc +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Effects of wind turbine wakes on bird gliding aerodynamic performance. [PDF]
Yang X, Zhou L, Sui Y, Ren Z, Chen S.
europepmc +1 more source
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé +9 more
wiley +1 more source
Effect of SLD ice on the aerodynamic characteristics of supercritical airfoils. [PDF]
Jie Y +5 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Improving the robustness of the immersed interface method through regularized velocity reconstruction. [PDF]
Sun Q, Kolahdouz EM, Griffith BE.
europepmc +1 more source

