Results 241 to 250 of about 156,992 (308)
Analytical framework for evaluating NMPC-based robot navigation in fluid environments. [PDF]
Ali M, Das S, Townley S.
europepmc +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Enhancing aerodynamic performance using biomimetic wavy trailing edges on aircraft wing at low Reynolds number. [PDF]
Aziz MA +3 more
europepmc +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Experimental Study on the Performance of Light-Controlled Ion Drag Pump Based on PLZT Ceramic. [PDF]
Tang Y, Shi Y, Lv Z, Guo Z, Wang X.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
On Bio-Inspired Strategies for Flow Control, Fluid-Structure Interaction, and Thermal Transport. [PDF]
Ahmed F, Chamorro LP.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Coordinate transformation method for beam grazing angle calculation of space-based early warning radar. [PDF]
Huang X, Zhang Y.
europepmc +1 more source

