Results 211 to 220 of about 6,139,729 (399)
Symposium on GARP and dedication of the Geophysical Fluid Dynamics Laboratory at Princeton University [PDF]
openalex +1 more source
Deep learning observables in computational fluid dynamics [PDF]
K. Lye, Siddhartha Mishra, Deep Ray
semanticscholar +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Enhancing the Design of Microdevices: The Role of Computational Fluid Dynamics and Experimental Investigation. [PDF]
Pirouz B+4 more
europepmc +1 more source
The particle-in-cell method for numerical solution of problems in fluid dynamics
Francis H. Harlow
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The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch+4 more
wiley +1 more source
Applications of Computational Fluid Dynamics in Congenital Heart Disease: A Review. [PDF]
Dave A+8 more
europepmc +1 more source