Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Machine learning (ML) is a method of data analysis that automates analytical model building. It’s a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...