Materials Science and Engineering Program

June 7th

June 8th


Christopher Kantzos (CMU) – “Use of Advanced Regression and Computer Vision Techniques for Evaluation of Process Parameter Modifications for Metal Additive Manufacturing

Aditya Menon (CMU) – “Understanding particle and solution variables for optimization of dispersant composition in pozzolan modified ordinary portland cement via gaussian process regression

Jennifer Bone (CMU) – “Developing High-Fidelity 3D Printed Biomaterial Constructs Using Hierarchical Machine Learning and Bayesian Statistical Analysis

Brian DeCost (NIST) – “Dynamic experimental design for spatially-resolved electrochemical measurements”

Sepideh Hashemi (GT) – “Process-structure linkage for static recrystallization of cubic materials

Andrew Castillo (GT) – “Bayesian Framework for the Estimation of the Single Crystal Parameters from Spherical Indentation Stress-Strain Measurements

Deepak Kamal (GT) – “Polymer Genome: A Data-powered Polymer Informatics Platform for Property Predictions

Matthew Barry (GT) – “Machine Learning for the Prediction of Atomic Displacement Energies

Apaar Shanker (GT) – “Materials Knowledge Systems in Python (PyMKS) – An Open Source Data Science Framework for Accelerated Development of Hierarchical Materials

David Montes de Oca Zapiain (GT) – “Prediction of the plastic response of polycrystalline materials subjected to a periodic boundary condition using Material Knowledge Systems.

James Peerless (NC State) - "Uncertainty Quantification of Atomistic Partial Charges in Liquid Phase Molecular Dynamics"

Patxi Fernandez-Zelaia (GT) - TBD