Nature

Optimizing casting process using a combination of small data machine learning and phase-field simulations

It has been a challenge to employ machine learning (ML) to optimize casting processes due to the scarcity of data and difficulty in feature expansion. Here, we introduce a nearest neighbor search ...

Valmet’s Flexible Optimization Suite Accelerates Process Performance

Valmet's DNAe Optimization Suite, a scalable software suite of optimization applications designed to improve plant ...
Nature

Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data

Effective designs of biodegradable polymers are highly desirable for achieving a sustainable society by decreasing environmental burden and replacing petroleum-based resources with biomass. Low-field ...

Creating a Process Optimization Culture

As digital transformation advances throughout manufacturing organizations, incorporating advanced process analytics ...
Western Michigan University

Optimization, Data, and Decision Science Lab

The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...