Chapter 1
AI for Property Modeling, Solvent Tailoring, and Process Design
Yuqiu Chen,
Yuqiu Chen
University of Delaware, Department of Chemical and Biomolecular Engineering, 150 Academy Street, Newark, DE, 19716 USA
Search for more papers by this authorYuqiu Chen,
Yuqiu Chen
University of Delaware, Department of Chemical and Biomolecular Engineering, 150 Academy Street, Newark, DE, 19716 USA
Search for more papers by this authorBook Editor(s):Chang He, Jingzheng Ren,
Jingzheng Ren
Search for more papers by this authorFirst published: 13 December 2024
Summary
Artificial intelligence (AI) has emerged as a powerful and efficient approach in numerous scientific and engineering fields. In this chapter, we delve into the significant contributions of AI, with a specific focus on property modeling, solvent tailoring, and process design. However, as AI continues to advance, it is essential to address the future challenges that lie ahead. These challenges underscore the need for developing practical solutions and strategies in AI such as multidisciplinary approaches, data preprocessing, model validation, transparency, continuous monitoring, and fostering collaboration between domain experts and data scientists.
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