Topic : Development of AI for atomic and molecular structural analyses with X-Ray Diffraction and X-ray Scattering

  

 Scope  

                        As most synchrotron-related techniques are novel experiment which produce big experimental data full of electronic, structural, and molecular information, the scope of this subject aim to understand how to collect, manage and clean big data and be able to successfully create project to analyze these data with artificial intelligence techniques such as machine learning. Ph.D candidates will be working with real data produced from experiment in SLRI and build up AI model to analyze and extract information out of experimental data. Upon completion of this project, the candidate will have good understanding of relevant synchrotron techniques and successfully create or develop AI project to be able to analyze or predict the electronic, structural, or molecular information of target samples. The candidates also are able to work independently in research projects concerning on AI, Machine Learning big data technology.

  

 Supervisor  

                        Dr. Supagorn Rugmai
                        Dr. Chatree Saiyasombat
                        and SLRI researchers