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Fang Sheng
Fang Sheng
在 mit.edu 的电子邮件经过验证
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年份
Preparation of CsPbBr3 Films for Efficient Perovskite Solar Cells from Aqueous Solutions
X Ding, Y Zhang, F Sheng, Y Li, L Zhi, X Cao, X Cui, D Zhuang, J Wei
ACS Applied Energy Materials 4 (6), 5504-5510, 2021
182021
Preparation of CsPbBr3 Films with Tens of Micrometer-Scale Grains and Preferential Orientation for Perovskite Solar Cells
Y Zhang, F Sheng, H Zhang, X Ding, L Zhi, Y Li, X Cao, X Cui, J Wei
ACS Applied Energy Materials 6 (24), 12190-12197, 2023
62023
Using scalable computer vision to automate high-throughput semiconductor characterization
AE Siemenn, E Aissi, F Sheng, A Tiihonen, H Kavak, B Das, T Buonassisi
Nature Communications 15 (1), 4654, 2024
42024
Embedding human knowledge in material screening pipeline as filters to identify novel synthesizable inorganic materials
B Das, K Ji, F Sheng, KM McCall, T Buonassisi
Faraday Discussions, 2025
2025
Archerfish: A Retrofitted 3D Printer for High-throughput Combinatorial Experimentation via Continuous Printing
AE Siemenn, B Das, E Aissi, F Sheng, L Elliott, B Hudspeth, M Meyers, ...
2024
Deep learning robotics using self-supervised spatial differentiation drive autonomous contact-based semiconductor characterization
AE Siemenn, B Das, K Ji, F Sheng, T Buonassisi
arXiv preprint arXiv:2411.09892, 2024
2024
High-throughput Bandgap Mapping for Perovskite-inspired Materials
F Sheng
Massachusetts Institute of Technology, 2024
2024
Autocharacterization: Automated and Scalable Semiconductor Property Estimation from High-throughput Experiments using Computer Vision
A Siemenn, E Aissi, F Sheng, A Tiihonen, H Kavak, B Das, T Buonassisi
2023
Vision-driven Autocharacterization of Perovskite Semiconductors
AE Siemenn, E Aissi, F Sheng, A Tiihonen, H Kavak, B Das, T Buonassisi
2023
Supplementary Information: Autocharacterization: Automated and Scalable Semiconductor Property Estimation from High-throughput Experiments using Computer Vision
AE Siemenn, E Aissi, F Sheng, A Tiihonen, H Kavak, B Das, T Buonassisi
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