Submission Deadline: December 9, 2018 Founder of the prize is the Bavarian Graduate School of Computational Engineering (BGCE, http://www.bgce.de/), a consortium offering an honors track to the best students of three international Master’s programs in Computational Engineering at Technische Universitaet Muenchen (TUM) and Universitaet Erlangen-Nuernberg (FAU). The prize winner will be invited to spend one week […]
XSEDE EMPOWER: Help Engage Undergraduate Students in the Work of XSEDE
Application Deadline for Spring 2019: November 23, 2018 Contact: Jennifer Houchins and Aaron Weeden (xsede-empower@shodor.org) An XSEDE-wide effort is underway to expand the community by recruiting and enabling a diverse group of students who have the skills – or are interested in acquiring the skills – to participate in the actual work of XSEDE. The […]
Satellite Site Invitation for the XSEDE HPC Monthly Workshop Series
Contact: Tom Maiden (tmaiden@psc.edu) XSEDE is pleased to announce a regular series of remote workshops on High Performance Computing topics. These hands-on workshops provide a convenient way for researchers to learn about the latest techniques and technologies of current interest in HPC. We are currently accepting satellite sites for December 4-5 Big Data – (Last […]
OAC-Core: NSF Office of Advanced Cyberinfrastructure Core Research Program – New Solicitation NSF 18-567
Submission Deadline: November 15, 2018 The Office of Advanced Cyberinfrastructure (OAC) is pleased to announce its core research program solicitation, with the goals of supporting all aspects of advanced cyberinfrastructure (CI) research that will significantly impact the future capabilities of advanced research CI, as well as the research career paths of cyber scientists and engineers. […]
Building Future Faculty Program Now Accepting Applications for 2019
Application Deadline: November 7, 2018 The 2019 Building Future Faculty (BFF) program will be offered by NC State University on Wednesday, April 3, 2019 – Friday, April 5, 2019. This all-expenses-paid workshop is designed for diverse graduate students and post-doctoral students who are preparing for a career as a faculty member. Workshop topics include information […]
ClimateNet: a large-scale labeled simulation dataset of climate extremes for machine learning
Karthik Kashinanth / Adrian Albert Contact: kkashinath@lbl.gov, aalbert@lbl.gov Databases of extreme weather events identified in climate simulation models are of key importance for quantifying and projecting into the future the effects of climate change, including the risk it imposes on human livelihoods […]
Physics-constrained generative adversarial networks for fluid dynamics simulations
Adrian Albert / Karthik Kashinanth Contact: aalbert@lbl.gov, kkashinath@lbl.gov Generative Adversarial Networks (GANs) have shown astounding success in learning complex distributions of data of different modalities arising across a variety of domains, from media (celebrity pictures, speech) to scientific applications (urban land use, cosmology, fluid dynamics). However key challenges remain: training is notoriously unstable, they don’t utilize […]
Local-scale wind field modeling with Generative Adversarial Networks
Adrian Albert / Pouya Vahmani Contact: aalbert@lbl.gov Fast, granular, and accurate modeling and scenario generation of the spatio-temporal distribution of wind […]
Generative Adversarial Networks for optical metamaterials design
Adrian Albert / Sean Lubner / Mahmoud Elzouka Contact: aalbert@lbl.gov Optical metamaterial design entails carefully designing geometric properties and selecting appropriate material combinations to achieve a desired optical properties for surfaces (e.g., spectral reflectivity profile). This is currently a manual […]
Cross-View GANs for Urban Built Environment Data Catalogs
Adrian Albert / Nan Zhou Contact: aalbert@lbl.gov Information on […]