2 citations · 3 across the 3 of their papers we have counts for
4 papers
Text2Model: Generating dynamic chemical reactor models using large language models (LLMs)
Sophia Rupprecht, Yassine Hounat, Monisha Kumar +2
As large language models have shown remarkable capabilities in conversing via natural language, the question arises as to how LLMs could potentially assist chemical engineers in re…
Deterministic Global Optimization over trained Kolmogorov Arnold Networks
Tanuj Karia, Giacomo Lastrucci, Artur M. Schweidtmann
To address the challenge of tractability for optimizing mathematical models in science and engineering, surrogate models are often employed. Recently, a new class of machine learni…
Transferring Graph Neural Networks for Soft Sensor Modeling using Process Topologies
Maximilian F. Theisen, Gabrie M. H. Meesters, Artur M. Schweidtmann
Data-driven soft sensors help in process operations by providing real-time estimates of otherwise hard- to-measure process quantities, e.g., viscosities or product concentrations.…
Picard-KKT-hPINN: Enforcing Nonlinear Enthalpy Balances for Physically Consistent Neural Networks
Giacomo Lastrucci, Tanuj Karia, Zoë Gromotka +1
Neural networks are widely used as surrogate models but they do not guarantee physically consistent predictions thereby preventing adoption in various applications. We propose a me…