Stochastic Modeling for Weather and Climate Prediction ResearchInsightsCommentarySIAM Newssiam.org FeedsControl and Systems TheoryGeosciences and Math of Planet Earth Stochastic parametrizations have the potential to transform climate modeling just as with weather prediction.
BLIS: BLAS and So Much More ResearchInsightsCommentarySIAM Newssiam.org FeedsComputational Science & Numerical AnalysisLinear Algebra The BLAS-like Library Instantiation Software facilitates rapid instantiation of basic linear algebra functionality.
A Moving Argument ResearchInsightsCommentarySIAM Newssiam.org FeedsClassical Applied Mathematics Mark Levi presents a twist on the problem of stable equilibrium for a cube resting on a sphere with no-slip contact.
Machine Learning Accelerates Multiscale Materials Modeling Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisMathematical Aspects of Materials Science J. Austin Ellis presented a machine learning workflow that speeds up molecular dynamics simulations at CSE21.
Gravitational Wave and Neutrino Signatures Reveal Details about Supernovae Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis At CSE21, David Vartanyan modeled the gravitational wave and neutrino signatures of core-collapse supernovae.
Supercomputer Simulations of Earthquakes in Real Time Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisGeosciences and Math of Planet Earth At CSE21, Kengo Nakajima described earthquake simulations done with a new supercomputer software platform.
Machine Learning Predicts Solar Flare Activity Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisGeosciences and Math of Planet Earth Cristina Campi described the creation and validation of a machine learning model for forecasting solar flares at CSE21.
Creating Findable, Accessible, Interoperable, and Reusable Cyberinfrastructure Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis At CSE21, Carol Song explained the importance of building sustainable collaborative cyberinfrastructures.
Glacial Lake Outburst Floods and Lava Domes Provide Context for Coupled Physical Models Get InvolvedConferencesResearchInsightssiam.org FeedsComputational Science & Numerical AnalysisGeosciences and Math of Planet Earth E. Bruce Pitman discussed emulators in coupled physical models in the context of outburst floods and lava domes at CSE21.
AI4Seismic Platform Combines Artificial Intelligence and Seismic Data Analysis Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisData ScienceGeosciences and Math of Planet Earth At CSE21, Renan Souza introduced AI4Seismic: an AI-driven platform to accelerate geological discoveries in the oil and gas industry.
Machine Learning for Supernova Turbulence Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis A new machine learning pipeline provides a flexible and reproducible way to model supernova turbulence.
Metapopulation Model Accounts for Asymptomatic Spread of COVID-19 Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisLife Sciences During CSE21, Daniela Calvetti presented a robust metapopulation model that accounts for the complex nuances of COVID-19.
A Large Deviation Theory Approach to Rogue Waves Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisGeosciences and Math of Planet Earth Tobias Grafke used experimental data and instanton theory to model rogue waves as extreme events at CSE21.
Natural Language Processing Techniques Improve Suicide Prevention in Veterans Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis At CSE21, Silvia Crivelli used natural language processing techniques to help doctors identify Veterans who are at risk for suicide.
Modeling the Universe with Deep Learning Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis Deep learning models of the universe could help to solve fundamental and persistent questions in cosmology.
June 10 - June 12 , 2024 : International Conference On Preconditioning Techniques For Scientific and Industrial Applications