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The Entropy for Energy (S4E) Laboratory develops computational and AI methods to design chemically disordered materials for energy production, chemical manufacturing, nuclear technology, and extreme environments. There are far too many possible compositions and atomic arrangements to calculate or test one at a time. We develop models that learn from this space and propose new materials, then make and test them in our laboratory and with collaborators.
Since 2022, our work at Johns Hopkins University has focused on AI-driven materials design, hydrogen production, and materials for fission and fusion. Recent results include the first demonstration that iodine can be incorporated directly into a pyrochlore crystal lattice, platinum-free fuel-cell catalyst candidates, and new computational methods for high-entropy materials. The program is supported by ARPA-E, the Seaver Institute, ROSEI, and the Data Science and AI Institute. The group has filed two provisional patents.
The S4E lab is recruiting PhD students and postdoctoral researchers with backgrounds in materials science, physics, chemistry, and computer science. See the Jobs page for how to apply.
