This paper concerns the numerical simulation of internal recirculating flows encompassing a two-dimensional viscous incompressible flow generated inside a regularized square driven cavity and over a ...

Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying a broad class of distributed tensor computations. The purpose of Mesh TensorFlow is to formalize and implement ...

This is the code repository for Hands-On Image Generation with TensorFlow : A practical guide to generating images and videos using deep learning,published by Packt. as recommended by Francois Chollet ...

In this work, the performance of a new wind turbine design derived from a conventional Savonius turbine is investigated by numerical simulations. The new design consists of three blades without ...

The dynamic tensile failure of rock is a main failure mode in deep underground engineering projects. The microscopic failure mechanism analysis of this failure mode plays a key role in dynamic ...

1 Tokyo Institute of Technology, Tokyo, Japan. 2 The Institute of Applied Energy, Tokyo, Japan. Flow behavior was observed in a simplified model cavity of a multiphase High Level Liquid Waste (HLLW) ...

Geochemical reactions add complexity to the characterization and prediction of fracture hydraulic properties because they depend on factors that are highly heterogeneous, such as mineral composition.

This paper describes an experimental, theoretical model, and a numerical study of concentrated vortex flow past a ball in a hydraulic check valve. The phenomenon of the rotation of the ball around the ...