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Generative AI and Process Systems Engineering: The Next Frontier
This article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process systems engineering (PSE).
Multimodal Deep Learning for Scientific Imaging Interpretation
Leveraging a multimodal deep learning framework, our approach distills insights from both textual and visual data harvested from peer-reviewed articles, further augmented by the capabilities of GPT-4 for refined data synthesis and evaluation.
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
The optimal design of compounds through manipulating properties at the molecular level is often the key to considerable scientific advances and improved process systems performance.
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