Summer School On Computational Materials Science Across Scales
June 29 – July 10, 2020
Photos from the 2019 Summer School
The 9th summer school on Computational Materials Science, CMS3, will be offered online. It is organized by the Center for intelligent Multifunctional Materials and Structures (CIMMS), the Department of Materials Science & Engineering (TAMU-MSEN), the Data-enabled Discovery and Design of Energy Materials program at Texas A&M University (D3EM), Laboratory for Molecular Simulation (LMS), and the High Performance Research Computing (HPRC) facility.
Purpose: To provide a platform for knowledge exchange and for academics as well as training for graduate students interested in the area of Computational Materials Science across multiple scales of space and time.
Objectives: At the end of this course, attendees should have a thorough overview of some of the most important tools currently in use to investigate materials phenomena at multiple scales, ranging from the continuum to the electronic structure level.
Structure: The School is organized in thematic sessions focused on different computational techniques. The themes will be organized in a bottom-up manner, starting with simulation tools at the atomistic level (Module 1), mesoscale (Module 2) and continuum (Module 3), with a final integrative module on informatics/data Science (Module 4). The final program will be updated on the website by February 1st, but it is expected to be very similar and with a similar set of instructors as the 2019 edition, found at the CMS3 website.
The course duration will be 10 days over two weeks. Morning sessions will consist of an overview of the method, with the afternoon sessions dedicated to hands-on computational laboratory activities.
Who should attend: The course should appeal to graduate students in the broader field of materials science with an interest in learning more about computational materials science.
The course will be offered online: For remote participation, good internet connection is required.
Financial Support: A limited number of fellowships will be made available to qualified applicants.
How to Apply: To apply to the school, please follow this link.
Applications Due By: May 1st, 2020
Contact Information: Olga G. Sauseda (email@example.com)
Main Organizers: Amine Benzerga, Raymundo Arroyave, Ankit Srivastava, Xiaofeng Qian, Lisa Perez, Honggao Liu, Darren Hartl, Aitor Cruzado.
Support is generously provided by the National Science Foundation under Grant No. OAC-1829799: CyberTraining: CIC: The Texas A&M University Computational Materials Science Summer School (CMS3), as well as CIMMS, D3EM and TAMU-MSEN.