Project Artie: An Artificial Student for Disciplines Informed by Partial Differential Equations
Anthony T Patera

TL;DR
Artie is an AI system that understands natural language PDE problems, extracts mathematical models, and provides approximate or finite element solutions, advancing AI-assisted engineering analysis.
Contribution
Introduction of Artie and Artie+ systems that interpret natural language PDE problems and generate symbolic-numeric or finite element solutions, integrating NLP with PDE modeling.
Findings
Artie successfully interprets PDE problems from natural language.
Artie+ provides finite element solutions within prescribed tolerances.
Prototype implementation demonstrates practical effectiveness.
Abstract
We present an Artificial Student, "Artie," for engineering science disciplines in which the mathematical model is a partial differential equation (PDE); Artie considers here the particular case of steady heat conduction. Artie accepts problem statements posed in natural language. Artie provides a symbolic-numeric approximate solution: the PDE field; scalar Quantities of Interest (QoI), expressed as functionals of the field. The problem statement will typically not provide explicit guidance as to the equation or approximations which should be invoked. We also present Artie+, who provides the finite element solution to the PDE: the exact solution to within a prescribed tolerance controlled by an a posteriori error estimator. Artie comprises four technical ingredients. Natural Language Processing: We proceed in two stages, domain-independent Google Natural Language syntax analyzer…
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Taxonomy
TopicsHeat Transfer and Numerical Methods · Modeling and Simulation Systems · Numerical Methods and Algorithms
