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 ...

Tensor analytics lays the mathematical basis for the prosperous promotion of multiway signal processing. To increase computing throughput, mainstream processors transform tensor convolutions into ...

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 ...

Understanding complex biological systems requires the system-wide characterization of cellular and molecular features. Recent advances in optical imaging technologies and chemical tissue clearing have ...

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.

1 School of Mechanical Engineering, Kyungpook National University, Daegu, Korea. 2 Department of Mechanical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, Pakistan. Alcohol ...