Artificial Intelligence for Chemical Product and Process Innovation
Artificial Intelligence (AI) is redefining the landscape of chemical product and process innovation. In response to the increasing demand for advanced, efficient, and sustainable chemical technologies, this Call for Papers in Smart Chemical Engineering (SCE) seeks to showcase cutting-edge research and transformative applications of AI across the chemical engineering domain. As the industry accelerates toward next-generation, high-performance chemical products and cleaner processes, AI offers unprecedented capabilities for material design, process optimization, and intelligent decision-making.
We aim to showcase recent scientific breakthroughs, methodological advances, and forward-looking perspectives enabled by AI technologies. We welcome original research articles, reviews, and perspectives focusing on AI-driven chemical and material design, high-throughput and intelligent platforms for chemical synthesis, AI-based theories and methodologies for process optimization and scale-up, as well as the development and application of AI algorithms tailored to chemical engineering challenges.
Topics of interest include, but are not limited to:
- AI-driven precise design of chemicals and materials
- AI algorithms tailored for chemical engineering applications
- Applications of generative AI in materials and chemical process design
- AI-based theories and methodologies for process optimization and scale-up
- High-throughput and intelligent scientific platforms and agents for chemical synthesis
- Data-driven discovery and inverse design of functional materialsand catalysts
- Self-optimizing reactors and autonomous experimentation workflows
- AI Empowers the Intensification of Chemical Reaction Processes
Keywords: Artificial Intelligence in Chemical Engineering, AI Algorithms, Bayesian Optimizations, High-throughput Platforms, Process Optimization, Agent, Intelligent Manufacturing.
Prof. Huabin Xing
Zhejiang University
https://person.zju.edu.cn/xinghb