Members of the Gagliardi Group Win AI+Science Hackathon with Quantum-Inspired AI for XPS Analysis
Members of the Gagliardi Group, including Bhavnesh Jangid, Joshua Zhou, Valay Agarawal, and Jacob Wardzala, have won the AI+Science Hackathon Challenge. This challenge focused on characterizing materials using X-ray photoelectron spectroscopy (XPS). To tackle the problem, they employed quantum chemistry–motivated descriptors to train a message-passing neural network (MPNN), enabling the prediction of core-binding energies with sub-eV accuracy compared to experimental values.
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