GRENOBLE, France – March 22, 2021 – CEA-Leti today announced that Elisa Vianello, senior scientist and Edge AI program coordinator, has received a €3 million grant from the European Research Council (ERC) to build nanoscale memory devices inspired by insect nervous systems for such applications as consumer robotics, implantable medical diagnostic microchips and wearable electronics. The […]
CEA-Leti Scientist Elisa Vianello Receives €3 Million ERC Grant for Nanoscale Memories
March 22, 2022 by
CMU’s Jerry Wang Wins 2020 Frederick Howes Award
June 11, 2020 by
Carnegie Mellon University Assistant Professor Gerald “Jerry” Wang has been named the 2020 Frederick A. Howes Scholar in Computational Science for his work in nanoscale fluid flows. Wang, a fellow from 2014-2018, earned his mechanical engineering doctorate from the Massachusetts Institute of Technology in 2019. His thesis focused on the structure of fluids moving through confined spaces, especially in nanotubes thousands of times thinner than a hair.
SC17 Session Preview: “Taking the Nanoscale to the Exascale”
October 27, 2017 by
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
September 24, 2016 by
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
August 12, 2015 by
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.
