12/2023, Dr. Miaofang Chi has been named ORNL Corporate Fellow. Congratulations!

09/2023, Our ML algorithm has been deployed for automated data analysis at the Dimensional Extreme Magnetic Neutron Diffractometer (DEMAND) beamline of High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory. (https://www.ornl.gov/news/meeting-demand-neutron-automation-hfir).

08/2023, Dr. Dan Lu received the DOE Early Career Award. Congratulations!

06/2023, We welcome Augustine Twumasi from University of Texas El Paso, and Yao Yao from University of Iowa to do a summer internship supported by our project during the summer of 2023.

09/2022, L. Ju, F. Bao and G. Zhang organized a mini-symposium entitled "Machine Learning for Large-Scale Scientific Data Analytics" at the SIAM Conference on Mathematics for Data Science held in San Diego, CA.

06/2022, Dr. Guannan Zhang received the DOE Early Career Award. Congratulations! [Link]

05/2022, Dr. Miaofang Chi was elected fellow of the Microscopy Society of America. Congratulations! [Link]

04/2022, R. Archibald, F. Bao and G. Zhang organized a mini-symposium entitled "Uncertainty Quantification for Large-Scale Scientific Data Analytics" at the SIAM Conference on Uncertainty Quantification held in Atlanta, GA.

04/2022, Our team members Prof. Lili Ju, Prof. Yanzhao Cao, Dr. Hoang Tran, Dr. Dan Lu, Mr. Zezhong Zhang gave oral presentations at the SIAM Conference on Uncertainty Quantification held in Atlanta, GA.

01/2022, Prof. Feng Bao received the NSF Career Award. Congratulations!

10/2021, The team  had a virtual meeting to kick off the project.