A multiscale modeling framework to predict organic acid diffusion and pH evolution in food inclusions, aiding manufacturers in optimizing acidification processes by providing actionable operating conditions for various a...
A data-driven crystal-engineering approach using machine learning to enhance Brazilian cocoa butter crystallization, improving texture and compatibility with standard chocolate-making processes.
A novel hybrid modeling framework that combines physics-based models with machine learning to simulate and optimize food manufacturing processes, enhancing product quality and reducing trial-and-error.