Most people spend over 70% of times indoor. Therefore, the building environment has significant impacts on the quality of life and health of residents. Conventional building materials are designed primarily considering the structural, thermal, and aesthetic functions. The ability to modulate the environment is not typically considered unless for specific types of space (such as clinic surgery room). This presentation will focus on design of building materials that actively modulate the building environment by utilizing the ambient energy. To complement conventional engineering design principles and analyses, machine learning and artifical intelligent are used to assist the material design to achieve the function of enviromental improvements with high efficiency. The performance and economic benefits of new building materials are analyzed with standard software.

Machine learning assisted design of environmental responsive materials for healthy and energy efficient building environment

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.