Sun, Shijing

1. Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
   2021/05/23 by Qiaohao Liang, Liang, Qiaohao, Aldair E. Gongora +27 · 11 citations
   Computer Science · Materials Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
2. Embedding Physics Domain Knowledge into a Bayesian Network Enables Layer-by-Layer Process Innovation for Photovoltaics
   2019/07/25 by Zekun Ren, Ren, Zekun, Felipe Oviedo +33 · 4 citations
   Engineering · Materials Science · #Applied Physics (physics.app-ph) #Chalcogenide Semiconductor Thin Films #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #solar cell performance optimization
3. What is missing in autonomous discovery: Open challenges for the community
   2023/04/21 by Phillip M. Maffettone, Pascal Friederich, Maffettone, Phillip M. +35 · 6 citations
   Computer Science · Decision Sciences · #FOS: Physical sciences #IoT and Edge/Fog Computing #Materials Science (cond-mat.mtrl-sci) #Mobile Crowdsensing and Crowdsourcing #Scientific Computing and Data Management
4. Opportunities for Machine Learning to Accelerate Halide Perovskite Commercialization and Scale-Up
   2021/10/08 by Kumar, Rishi E., Tiihonen, Armi, Sun, Shijing +3 · 1 citation
   #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
5. The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
   2025/08/15 by Duan, Chenru, Nandy, Aditya, Pal, Shyam Chand +17 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)