66 citations · 73 across the 4 of their papers we have counts for
5 papers
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors
Charles F. Jekel, Kenneth E. Swartz, Daniel A. White +2
Machine learning models can be used to predict physical quantities like homogenized elasticity stiffness tensors, which must always be symmetric positive definite (SPD) based on co…
Testing Surrogate-Based Optimization with the Fortified Branin-Hoo Extended to Four Dimensions
Charles F. Jekel, Raphael T. Haftka
Some popular functions used to test global optimization algorithms have multiple local optima, all with the same value, making them all global optima. It is easy to make them more…
Computational Design of Microarchitected Flow-Through Electrodes for Energy Storage
Victor A. Beck, Jonathan J. Wong, Charles F. Jekel +4
Porous flow-through electrodes are used as the core reactive component across electrochemical technologies. Controlling the fluid flow, species transport, and reactive environment…
Fortified Test Functions for Global Optimization and the Power of Multiple Runs
Charles F. Jekel, Raphael T. Haftka
Some popular functions used to test global optimization algorithms have multiple local optima, all with the same value. That is all local optima are also global optima. This paper…
Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings
Charles F Jekel, Raphael T. Haftka
A method to produce personalized classification models to automatically review online dating profiles on Tinder is proposed, based on the user's historical preference. The method t…