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SC17 Session Preview: “Taking the Nanoscale to the Exascale”

Brian Ban continues his series of SC17 Session Previews with a look at an invited talk on nanotechnology. “This talk will focus on the challenges that computational chemistry faces in taking the equations that model the very small (molecules and the reactions they undergo) to efficient and scalable implementations on the very large computers of today and tomorrow.”

Video: Using HPC to build Clean Energy Technologies

Maria Chan from NST presented this talk at Argonne Out Loud. “People eagerly anticipate environmental benefits from advances in clean energy technologies, such as advanced batteries for electric cars and thin-film solar cells. Optimizing these technologies for peak performance requires an atomic-level understanding of the designer materials used to make them. But how is that achieved? Maria Chan will explain how computer modeling is used to investigate and even predict how materials behave and change, and how researchers use this information to help improve the materials’ performance. She will also discuss the open questions, challenges, and future strategies for using computation to advance energy materials.”

Materials Imaging and Data Sciences Converge at Oak Ridge Workshop

Oak Ridge National Lab recently hosted a Materials Imaging Workshop. Entitled “Big, Deep and Smart Data Analytics in Materials Imaging,” the workshop explored research opportunities and challenges arising as imaging and data sciences merge.