Xiaofeng Tang
Papers
3
Total Citations
287
H-Index
3
About
Xiaofeng Tang is a pioneer in the high-throughput robotic discovery of next-generation photovoltaic materials. Their research focuses on accelerating the development of stable, high-efficiency perovskite and organic solar cells through automated experimentation. Tang’s major contributions include developing robot-based platforms that can rapidly screen thousands of material compositions and processing conditions—a task impossible with manual methods. Their landmark 2017 study on wide bandgap perovskites (120 citations) demonstrated how robotic synthesis can systematically explore novel, stable perovskite formulations, while their 2020 work on antisolvent screening (110 citations) provided a blueprint for optimizing thin-film quality at unprecedented speed. Tang also advanced eco-friendly organic photovoltaics by engineering polymer:fullerene nanoparticle inks (57 citations), showing how automation can solve complex formulation challenges. By replacing slow, trial-and-error approaches with data-driven robotic workflows, Tang has established a new paradigm for materials discovery—one that promises to dramatically shorten the path from laboratory innovation to commercial solar technology. Their work stands as a model for how artificial intelligence and robotics can transform renewable energy research.
Research Focus
Key Achievements
Top Papers
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