个人简历

教育简历

• 2014-2019 清华大学，环境学院，博士

• 2010-2014 清华大学，环境学院，学士

工作简历

• 2023.11-至今 必赢242net，必赢242net，青年研究员

• 2019.09 – 2023.11 赫尔辛基大学，大气与地球系统科学研究院 (INAR)，博士后

博士生导师/方向

• 气溶胶科学。本团队主要关注大气纳米气溶胶，结合前沿方法的开发对纳米气溶胶和前体物的理化性质进行在线表征，进而研究其形成转化机制和环境气候影响。

荣誉与奖励

• 2023年，上海市白玉兰人才计划青年项目

• 2021年，GAeF（气溶胶研究协会）PhD Award

• 2020年，芬兰科学院博士后人才计划

• 2020年，中国环境科学学会优秀博士论文

• 2019年，清华大学优秀博士论文

科学研究

主持和参与的主要项目：

• 必赢242net引进人才项目，2024-2026，300万，主持

• Research Council of Finland，1332547，new particle growth in the polluted environments，2017-2019，200万，主持

教研成果

代表性论文：

• Significant contributions of trimethylamine to sulfuric acid nucleation in polluted environments

  Cai, R.; Yin, R.; Li, X.; Xie, H.-B.*; Yang, D.; Kerminen, V.-M.; Smith, J. N.; Ma, Y.; Hao, J.; Chen, J.; Kulmala, M.; Zheng, J.; Jiang, J.*; Elm, J.npj Climate and Atmospheric Science, 2023, 6: 75, https://doi.org/10.1038/s41612-023-00405-3

• Atmospheric nanoparticle growth

  Stolzenburg, D.*; Cai, R.*; Blichner, S. M.; Kontkanen, J.; Zhou, P.; Makkonen, R.; Kerminen, V.-M.; Kulmala, M.; Riipinen, I.; Kangasluoma, J. Reviews of Modern Physics, 2023, 95: 045002, https://doi.org/10.1103/RevModPhys.95.045002

• The dependence of new particle formation rates on the interaction between cluster growth

  Li, C.; Zhao, Y.; Li, Z.; Liu, L.; Zhang, X.; Zheng, J.; Kerminen, V.-M.; Kulmala, M.; Jiang, J.; Cai, R.*; Xiao, H.* Environmental Science: Atmosphere, 2023, 3: 168-181, https://doi.org/10.1039/d2ea00066k

• Survival probability of new atmospheric particles: closure between theory and measurements from 1.4 to 100 nm

  Cai, R.*; Deng, C.; Stolzenburg, D.; Li, C.; Guo, J.; Kerminen, V.-M.; Jiang, J.; Kulmala, M.; Kangasluoma, J.Atmospheric Chemistry and Physics, 2022, 22: 14571–14587, https://doi.org/10.5194/acp-22-14571-2022

• Improving the sensitivity of Fourier transform mass spectrometer (Orbitrap) for online measurements of atmospheric vapors

  Cai, R.*; Huang, W.; Meder, M.; Bourgain, F.; Aizikov, K.; Riva, M.; Bianchi, F.; Ehn, M.* Analytical Chemistry, 2022, 94: 15746-15753, https://doi.org/10.1021/acs.analchem.2c03403

• The missing base molecules in atmospheric acid-base nucleation

  Cai, R.; Yin, R.; Yan, C.; Yang, D.; Deng, C.; Dada, L.; Kangasluoma, J.; Kontkanen, J.; Halonen, R.; Ma, Y.; Zhang, X.; Paasonen, P.; Petäjä, T.; Kerminen, V.-M.; Liu, Y.; Bianchi, F.; Zheng, J.; Wang, L.; Hao, J.; Smith, J. N.; Donahue, N. M.; Kulmala, M.*; Worsnop, D.R.; Jiang, J.* National Science Review, 2022, 126: 5040–5049, https://doi.org/10.1093/nsr/nwac137

• The effectiveness of the coagulation sink of 3–10 nm atmospheric particles

  Cai, R.*; Häkkinen, E.; Yan, C.; Jiang, J.; Kulmala, M.; Kangasluoma, J. Atmospheric Chemistry and Physics, 2022, 22: 11529–11541, https://doi.org/10.5194/acp-22-11529-2022

• The proper view of cluster free energy in nucleation theories

  Cai, R.* and Kangasluoma, J. Aerosol Science and Technology, 2022, 56: 757-766, https://doi.org/10.1080/02786826.2022.2075250

• Sulfuric acid–amine nucleation in urban Beijing

  Cai, R.; Yan, C.; Yang, D.; Yin, R.; Lu, Y.; Deng, C.; Fu, Y.; Ruan, J.; Li, X.; Kontkanen, J.; Zhang, Q.; Kangasluoma, J.; Ma, Y.; Hao, J.; Worsnop, D. R.; Bianchi, F.; Paasonen, P.; Kerminen, V.-M.; Liu, Y.; Wang, L.; Zheng, J.; Kulmala, M.; Jiang, J.* Atmospheric Chemistry and Physics, 2021, 21:2457-2468, https://doi.org/10.5194/acp-21-2457-2021

• An indicator for sulfuric acid-amine nucleation in atmospheric environments

  Cai, R.; Yan, C.; Worsnop D. R.; Bianchi F.; Kerminen V.-M.; Liu Y.; Wang L.; Zheng J.; Kulmala M.; Jiang, J.* Aerosol Science and Technology, 2021, 55:1059-1069, https://doi.org/10.1080/02786826.2021.1922598

• Orbitool: A software tool for analyzing online Orbitrap mass spectrometry data

  Cai, R.; Li, Y.; Clément, Y.; Li, D.; Dubois, C.; Fabre, M.; Besson, L.; Perrier, S.; George, C.; Ehn, M.; Huang, C.; Yi, P.; Ma, Y.*; Riva, M.* Atmospheric Measurement Techniques, 2021, 14:2377–2387, https://doi.org/10.5194/amt-14-2377-2021

• Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections

  Cai, R.*; Li, C.; He, X.-C.; Deng, C.; Lu, Y.; Yin, R.; Yan, C.; Wang, L.; Jiang, J.; Kulmala, M.; Kangasluoma, J. Atmospheric Chemistry and Physics, 2021, 21:2287-2304, https://doi.org/10.5194/acp-21-2287-2021

• Tutorial: the discrete-sectional method to simulate an evolving aerosol

  Li, C. and Cai, R.* Journal of Aerosol Science, 2020, 150: 105615, https://doi.org/10.1016/j.jaerosci.2020.105615

• Transmission of charged nanoparticles through the DMA adverse axial electric field and its improvement

  Cai, R.; Zhou, Y.; Jiang, J.* Aerosol Science and Technology, 2019, 54:21-32, https://doi.org/10.1080/02786826.2019.1673306

• Models for estimating nanoparticle transmission efficiency through an adverse axial electric field

  Cai, R. and Jiang, J.* Aerosol Science and Technology, 2019, 54: 332-341, https://doi.org/10.1080/02786826.2019.1696451

• Parameters governing the performance of electrical mobility spectrometers for measuring sub-3 nm particles

  Cai, R.*; Jiang, J.; Mirme, S.; Kangasluoma, J. Journal of Aerosol Science, 2019, 127:102-115, https://doi.org/10.1016/j.jaerosci.2018.11.002

• Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier

  Cai, R.; Yang, D.; Ahonen, L. R.; Shi, L.; Korhonen, F.; Ma, Y.; Hao, J.; Petäjä, T.; Zheng, J.; Kangasluoma, J.; Jiang, J.* Atmospheric Measurement Techniques, 2018, 11:4477-4491, https://doi.org/10.5194/amt-11-4477-2018

• Estimating the influence of transport on aerosol size distributions during new particle formation events

  Cai, R.; Chandra, I.; Yang, D.; Yao, L.; Fu, Y.; Li, X.; Lu, Y.; Luo, L.; Hao, J.; Ma, Y.; Wang, L.; Zheng, J.; Seto, T.; Jiang, J.* Atmospheric Chemistry and Physics, 2018, 18:16587-16599, https://doi.org/10.5194/acp-18-16587-2018

• Characterization of a high-resolution supercritical differential mobility analyzer at reduced flow rates

  Cai, R.*; Attoui, M.; Jiang, J.; Korhonen, F.; Hao, J.; Petäjä, T.; Kangasluoma, J. Aerosol Science and Technology, 2018, 52:1332-1343, https://doi.org/10.1080/02786826.2018.1520964

• Aerosol surface area concentration: a governing factor in new particle formation in Beijing

  Cai, R.; Yang, D.; Fu, Y.; Wang, X.; Li, X.; Ma, Y.; Hao, J.; Zheng, J.*; Jiang, J.* Atmospheric Chemistry and Physics, 2018, 17:12327-12340, https://doi.org/10.5194/acp-17-12327-2017

• A new balance formula to estimate new particle formation rate: reevaluating the effect of coagulation scavenging

  Cai, R. and Jiang, J.* Atmospheric Chemistry and Physics, 2017, 17:12659-12675, https://doi.org/10.5194/acp-17-12659-2017

• A miniature cylindrical differential mobility analyzer for sub-3 nm particle sizing

  Cai, R.; Chen, D.-R.; Hao, J.; Jiang, J.* Journal of Aerosol Science, 2017, 106:111-119, https://doi.org/10.1016/j.jaerosci.2017.01.004