Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. - Felipe Oviedo; Zekun Ren; Shijing Sun; Charlie Settens; Zhe Liu; Noor Titan Putri Hartono; Ramasamy Savitha; Brian L. DeCost; Siyu I. P. Tian; Giuseppe Romano; Aaron Gilad Kusne; Tonio Buonassisi (CoRR, 2018)

Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. - Sai Nithin R. Kantareddy; Ian Mathews; Shijing Sun; Mariya Layurova; Janak Thapa; Juan Pablo Correa-Baena; Rahul Bhattacharyya; Tonio Buonassisi; Sanjay E. Sarma; Ian Marius Peters (CoRR, 2019)

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. - Qiaohao Liang; Aldair E. Gongora; Zekun Ren; Armi Tiihonen; Zhe Liu 040; Shijing Sun; James R. Deneault; Daniil Bash; Flore Mekki-Berrada; Saif A. Khan; Kedar Hippalgaonkar; Benji Maruyama; et al. (CoRR, 2021)

Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up. - Rishi E. Kumar; Armi Tiihonen; Shijing Sun; David P. Fenning; Zhe Liu 040; Tonio Buonassisi (CoRR, 2021)

Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags. - Sai Nithin Reddy Kantareddy; Rahul Bhattacharya; Sanjay E. Sarma; Ian Mathews; Janak Thapa; Liu Zhe; Shijing Sun; Ian Marius Peters; Tonio Buonassisi (CoRR, 2022)

Lessons in Reproducibility: Insights from NLP Studies in Materials Science. - Xiangyun Lei; Edward Kim; Viktoriia Baibakova; Shijing Sun (CoRR, 2023)

The Rise of Generative AI for Metal-Organic Framework Design and Synthesis. - Chenru Duan; Aditya Nandy; Shyam Chand Pal; Xin Yang; Wenhao Gao 001; Yuanqi Du; Hendrik Kraß; Yeonghun Kang; Varinia Bernales; Zuyang Ye; Tristan Pyle; Ray Yang; et al. (CoRR, 2025)