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

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 ...

Nanomaterials are used in various fields due to their distinct size-dependent properties, and accurate characterization is essential to optimize and design them for specific applications. 1 For ...

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

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...