Sean Paradiso

Solving industrial materials problems by using machine learning across diverse computational and experimental data

Maxwell Hutchinson, Erin Antono, Brenna M. Gibbons, 2018 .

Overcoming data scarcity with transfer learning pdf

Erin Antono, Brenna M. Gibbons, Sean Paradiso, 2017, ArXiv.

Swarm Intelligence Platform for Multiblock Polymer Inverse Formulation Design.

Kris T. Delaney, Glenn H. Fredrickson, Sean Paradiso, 2016, ACS macro letters.

Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery

Ian Foster, Ian Foster, Brenna M. Gibbons, 2018 .

Computational Design and Morphology Engineering of Multiblock Polymer Films

Sean Paradiso, 2015 .

Machine Learning–Based Reduce Order Crystal Plasticity Modeling for ICME Applications

Sean Paradiso, Bryce Meredig, Stephen R. Niezgoda, 2018, Integrating Materials and Manufacturing Innovation.

Inverse Design of Bulk Morphologies in Multiblock Polymers Using Particle Swarm Optimization

Kris T. Delaney, Glenn H. Fredrickson, Sean Paradiso, 2017 .

Perspective: Materials informatics across the product lifecycle: Selection, manufacturing, and certification

Sean Paradiso, Gregory J. Mulholland, S. Paradiso, 2016 .

Machine Learning for Alloy Composition and Process Optimization

Erin Antono, Brenna M. Gibbons, Sean Paradiso, 2018, Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy.