Results 171 to 180 of about 21,239 (300)
A Dislocation Perspective on Strength and Toughness in Ceramics
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley +1 more source
Computationally Efficient Direction-of-Arrival Estimation Algorithms for a Cubic Coprime Array. [PDF]
Gong P, Chen X.
europepmc +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
A robust direction of arrival estimation method based on the chaotic MUSIC algorithm. [PDF]
Muni BK +8 more
europepmc +1 more source
Research on Direction of Arrival Estimation Based on Self-Contained MEMS Vector Hydrophone. [PDF]
Zhu S +8 more
europepmc +1 more source
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
A Two-Stage Transformer Framework for Sparse-Array Direction-of-Arrival Estimation via Correlation Vector Recovery. [PDF]
He W, Shi Y, Zhao H, Zhu H, Bao C.
europepmc +1 more source
A New Conformal Map for Polynomial Chaos Applied to Direction-of-Arrival Estimation via UCA Root-MUSIC. [PDF]
Van Brandt S +3 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

