ICTP-East African Institute for Fundamental Research
                                KIST2 Building CST
                                Nyarugenge Campus
                                University of Rwanda
                                Kigali, Rwanda
                            
Mark Hybertsen Seminar
A talk on Theory and Computation at Work in a Nanoscience Center: Excited States, Machine Learning and X-ray Absorption
Join us for an online Condensed Matter Physics seminar on Thursday  
 with Mark Hybertsen (Brookhaven National Lab, USA).
 
 Title: Theory & Computation at Work in a Nanoscience Center: Excited  States, Machine Learning & X-ray Absorption
 
 Date/Time: Thursday, October 15, 2020 at 16:00 Kigali time (GMT+2)
 
 Speaker: Mark S. Hybertsen (Center for Functional Nanomaterials,  
 Brookhaven National Laboratory)
 
 Zoom link:  
 https://us02web.zoom.us/meeting/register/tZYsfuitrjwjHdyDrTSRp4MOuXQgbgav2ouZ
Abstract: The Center for Functional Nanomaterials operates a broad  
 array of facilities for nanoscience research on behalf of the US  
 Department of Energy. We fulfill our dual mission through internal  
 nanoscience research and by supporting external users who carry out  
 their nanoscience research supported by our staff. I lead the Theory  
 and Computation Group and represent our computational facilities,  
 available for external access.  Today, I will briefly introduce our  
 facility and the user program.  Then I will introduce some ways in  
 which modern materials theory methods have impact in nanoscience. 
In  particular, I will describe recent pilot projects where theoretical  
 computation of X-ray absorption spectra is utilized to understand  
 material properties revealed by X-ray measurements [1,2]. X-ray  
 spectroscopy is particularly well suited to probe nanostructured  
 materials, including advanced experiments in which those materials can be probed in situ or under operating conditions. It is both atomically specific and it encodes local structure of the surrounding atoms.  Our research combines theoretical tools to compute spectra from materials with machine learning approaches to solve the inverse problem of structure inference.
Work performed in part at the Center for Functional Nanomaterials,  
 which is a U.S. DOE Office of Science Facility, at Brookhaven National Laboratory under Contract No. DE-SC0012704.
 [1] M. R. Carbone, et al., Phys. Rev. Mater. 3, 033604 (2019).
 [2] D. Yan, et al., Nano Lett. 19, 3457, (2019).
 
                 
                     
                    