Shijing Sun

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Schottky Barrier

Machine Learning

Materials Science

Top Venues

Publications

Xiangyun Lei, Edward Kim, Viktoriia Baibakova, Shijing Sun
Lessons in Reproducibility: Insights from NLP Studies in Materials Science. CoRR (2023)
Sai Nithin Reddy Kantareddy, Rahul Bhattacharya, Sanjay E. Sarma, Ian Mathews, Janak Thapa, Liu Zhe, Shijing Sun, Ian Marius Peters, Tonio Buonassisi
Introducing flexible perovskites to the IoT world using photovoltaic-powered wireless tags. CoRR (2022)
Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi
Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up. CoRR (2021)
Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi
Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains. CoRR (2021)
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
Perovskite PV-powered RFID: enabling low-cost self-powered IoT sensors. CoRR (2019)
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
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks. CoRR (2018)