I. Basic Information

Project Subject: Institute of Process Engineering, Chinese Academy of Sciences

Beijing Huairou Science City Construction and Development Co., Ltd.

Category: Second batch of interdisciplinary research platforms

Location: Central Area of Huairou Science City

Area: 20 mu

Building area: 23378 m2

Total investment: 246.94 million yuan

Subject orientation: material science, information and intelligent science

Real-life View of Interdisciplinary Research Platform for Mesoscience and Process Simulation

II. Main Contents

Project introduction: The Interdisciplinary Research Platform for Mesoscience and Process Simulation aims to establish a research and development system for mesoscience research and high-performance computing. The platform combines the research foundation of the Institute of Process Engineering in model software and algorithms over the years to develop a computing architecture suitable for mesoscience research.

By conducting cross-disciplinary research on representative cases such as multiphase reaction systems, the platform is able to gradually summarise and deepen understanding of common mechanisms and principles, extend to other fields of material science, promote the comprehensive development of mesoscience, and ultimately form a complete academic system.

While conducting basic research, the platform will also establish common simulation research methods, software and technical means to serve a wide range of process industries, promoting their sustainable development and industrial upgrading.

This platform is dedicated to advancing research on fundamental mesoscience models and simulation algorithms, while also driving the development of cutting-edge technologies such as process simulation and amplification. Additionally, it facilitates interdisciplinary research in high-performance computing, fluid mechanics, chemical engineering, materials science, biology, metallurgy and other fields where mesoscience plays a pivotal role.

This platform consists of six major systems: a mesoscale high-performance computing R&D system, a mesoscale experimental system for reaction processes, a mesoscale experimental system for equipment, a cross-level research system for nano-micro processes, a remote test system, and a collaborative research system.