Year: 2024
Type: other
Abstract: 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.
Author: Yuqiu Chen
Institution: University of Delaware
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4405352550