Interrogating Gas-Borne Nanoparticles Using Laser-Based Diagnostics and Bayesian Data Fusion
Interrogating Gas-Borne Nanoparticles Using Laser-Based Diagnostics and Bayesian Data Fusion
复制标题
DOI:
10.1021/acs.jpcc.0c10026
复制
发表时间:
2021-04
影响因子:
3.7
通讯作者:
J. Menser;K. Daun;C. Schulz
中科院分区:
文献类型:
--
作者:
J. Menser;K. Daun;C. Schulz
We demonstrate how the evaporation properties of gas-borne nanoscale materials, here liquid silicon and germanium nanoparticles, can be obtained through a novel combination of in situ time-resolved...