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

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...

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 ...

A new machine learning method has slashed battery testing times -- a key barrier to longer-lasting, faster-charging batteries for electric vehicles -- by nearly fifteenfold. Battery performance can ...

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 ...