https://openreview.net/forum?id=ccUlvMG31m&referrer=%5Bthe%20profile%20of%20Keqiang%20Yan%5D(%2Fprofile%3Fid%3D~Keqiang_Yan2)
Machine learning interatomic potentials (MLIPs) can predict energy, force, and stress of materials and enable a wide range of downstream discovery tasks. A key...
interatomic potentialslearningmaterialsviahybrid
https://newscenter.lbl.gov/2017/08/29/high-resolution-analysis-hybrid-perovskite-materials/
Jan 10, 2023 - Berkeley Lab researchers have developed a new method of analyzing the molecular-scale structure of organo-lead halide perovskites, a promising class of...
high resolutionscientistsdevelopinginnovativetechniques
https://www.mdpi.com/1660-4601/19/22/15043
With the rapid development of urbanization, the problem of environmental pollution is becoming more and more serious. As a major pollutant, heavy metals have...
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https://www.omicsonline.org/peer-reviewed/hybrid-solar-cells-based-on-organic-inorganic-materials-photovoltaic-applications-a-reviewp-96562.html
Hybrid Solar Cells Based on Organic Inorganic Materials Photovoltaic Applications: A Review Abstract.
solar cellshybridbasedorganicmaterials