Shijing Sun

According to our database, Shijing Sun authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Lessons in Reproducibility: Insights from NLP Studies in Materials Science.

Xiangyun Lei, Edward Kim, Viktoriia Baibakova, Shijing Sun

CoRR, 2023

2022

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

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, Tonio Buonassisi

CoRR, 2021

Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains.

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

CoRR, 2021

2019

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

2018

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