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Akademický článek

Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network

Autor: Ryoichi Chiba, Takuya Kishida, Ryoto Seki, Seiya Sato

Publikováno v: International Journal of Applied Mechanics and Engineering, Vol 29, Iss 4, Pp 78-95 (2024)

This study presents a neural network (NN)-based approach for optimising material composition in multi-layered functionally graded (FG) plates to minimise steady-state thermal stress. The focus is on the metal-ceramic composition across the thickness

Externí odkaz: https://doaj.org/article/bef2bede1c644805b73a66ddae460cc5

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Unsteady Aerodynamics Around a Pitching Airfoil with Shock and Shock-Induced Boundary-Layer Separation

Autor: Noah D. Oyeniran, Toma Miyake, Hiroshi Terashima, Ryoto Seki, Keiichi Ishiko, Taku Nonomura

Publikováno v: AIAA Journal. 60:6557-6565

This study numerically investigated the characteristics of unsteady aerodynamic forces around a pitching airfoil in the transonic flow regime. The unsteady Reynolds-averaged compressible Navier–Stokes (URANS) equations were solved using a Spalart�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c64d2141a35de3b145138d16498cb4d5
https://doi.org/10.2514/1.j062054

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Akademický článek

Visible-to-mid-IR tunable frequency comb in nanophotonics

Autor: Arkadev Roy, Luis Ledezma, Luis Costa, Robert Gray, Ryoto Sekine, Qiushi Guo, Mingchen Liu, Ryan M. Briggs, Alireza Marandi

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-7 (2023)

Abstract Optical frequency comb is an enabling technology for a multitude of applications from metrology to ranging and communications. The tremendous progress in sources of optical frequency combs has mostly been centered around the near-infrared sp

Externí odkaz: https://doaj.org/article/903dd2c8318b4bb88acb5028783b478c

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