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.
Moving Towards True Autonomy in Robots Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisData Science Trustworthy safety-critical autonomy in robotic systems will require true understanding of the surrounding environment.
Structure-based Drug Discovery and Ensemble Docking for SARS-COV-2 Proteins Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical AnalysisLife Sciences At CSE21, Jeremy Smith discussed his efforts to develop a supercomputer-driven pipeline for in-silico COVID-19 drug discovery.
Principles and Trends in Mathematical Imaging ResearchInsightsCommentarySIAM Newssiam.org FeedsImaging Science Effectively coping with different imaging applications requires tools from diverse fields of mathematics.
Plug-and-Play: A General Approach for the Fusion of Sensor and Machine Learning Models ResearchInsightsCommentarySIAM Newssiam.org FeedsComputational Science & Numerical AnalysisImaging Science Plug-and-play is a framework that incorporates modern black-box operators into regularized inversion problems.
A Denoiser Can Do Much More than Just Clean Noise ResearchInsightsCommentarySIAM Newssiam.org FeedsImaging Science Researchers are leveraging denoising algorithms to solve other, far more challenging inverse problems.