Bowen Yu 余博文

Undergraduate, MIT Physics & AI

I'm an undergraduate at MIT (Class of 2027), double-majoring in Physics (Course 8) and Artificial Intelligence (Course 6-4). Before MIT I spent a year studying physics at Peking University.

I work with Prof. Mingda Li in the MIT Quantum Measurement Group on machine learning for condensed matter physics, materials discovery, and defect engineering.

Outside the lab, I enjoy long-distance running, ping-pong, classic films, and Liu Cixin's novels.

Bowen Yu

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  1. DefectNet workflow demonstration

    A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra

    Mouyang Cheng†,*, Chu-Liang Fu†, Bowen Yu†, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Douglas L. Abernathy, Yongqiang Cheng, and Mingda Li*

    † Equal contribution. * Corresponding author.

    Matter Published Mar 2026 · arXiv May 2025

    DefectNet predicts the chemical identity and concentration of substitutional point defects directly from vibrational spectra, establishing vibrational spectroscopy as a non-destructive probe for defect quantification.

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