Zheheng Song

Zheheng, pronounced similarly to 'Johan', is a Ph.D. candidate with a specialization in Photonics. His main research areas include electromagnetic waves, Monte Carlo simulation, and the application of machine learning to solar concentrators and solar cells, utilizing tools such as COMSOL, PVtrace, and Python. In addition, he explores the 'Cooking' method of metal clusters and quantum dots, investigating their luminescent and dynamic properties through single-dot microscopy.

In his previous background, he conducted extensive work on SiNWs (wet etching MACE method) and fabricated other silicon nanostructures in cleaning room for optoelectronics devices, such LED and Silicon solar cells.