4 papers
A collaborative digital twin built on FAIR data and compute infrastructure
Thomas M. Deucher, Juan C. Verduzco, Michael Titus +1
The integration of machine learning with automated experimentation in self-driving laboratories (SDL) offers a powerful approach to accelerate discovery and optimization tasks in s…
Accelerating active learning materials discovery with FAIR data and workflows: a case study for alloy melting temperatures
Mohnish Harwani, Juan C. Verduzco, Brian H. Lee +1
Active learning (AL) is a powerful sequential optimization approach that has shown great promise in the discovery of new materials. However, a major challenge remains the acquisiti…
Active learning and molecular dynamics simulations to find high melting temperature alloys
David E. Farache, Juan C. Verduzco, Zachary D. McClure +2
Active learning (AL) can drastically accelerate materials discovery; its power has been shown in various classes of materials and target properties. Prior efforts have used machine…
Ionic conductivity optimization of composite polymer electrolytes through filler particle chemical modification
Andres Villa, Juan Carlos Verduzco, Joseph A. Libera +1
The addition of filler particles to polymer electrolytes is known to increment their ionic conductivity (IC). A detailed understanding of how the interactions between the constitue…