4 papers
Learning to Choose: An Empowerment-Guided Multi-Agent System with semantic communication for Adaptive Method Selection
Geremy LoachamÃn-Suntaxi, Robert Lazar, Dimitrios G. Giovanis +2
Automating scientific computing workflows requires more than generating executable code: autonomous systems must also select appropriate computational strategies, implement them fa…
Data-driven inverse uncertainty quantification: application to the Chemical Vapor Deposition Reactor Modeling
Geremy LoachamÃn, Eleni D. Koronaki, Dimitrios G. Giovanis +4
This study presents a Bayesian framework for (inverse) uncertainty quantification and parameter estimation in a two-step Chemical Vapor Deposition coating process using production…
CFD Modelling and Sensitivity-Guided Design of Silicon Filament CVD Reactors
G. P. Gakis, G. LoachamÃn-Suntaxi, I. G. Aviziotis +6
Filament-based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as a straightforward adaptation of planar deposition, just with a cylindrical substrate. B…
Implementing NLPs in industrial process modeling: Addressing Categorical Variables
Eleni D. Koronaki, Geremy Loachamin Suntaxi, Paris Papavasileiou +4
Important variables of processes are often categorical, i.e. names or labels representing, e.g. categories of inputs, or types of reactors or a sequence of steps. In this work, we…