Highlights

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CompFUSE

• Density Matrix Renormalization Group Method Enables Computing High-Resolution Magnetic Excitation Spectra
• Advancing Materials Simulations on Summit via RAPIDS
• Emerging hole band spurs unconventional superconductivity
• AI accelerates lattice quantum Monte Carlo simulations

NUCLEI

• Chiral Effective Field Theory for Nuclei Structure
• Computing Beta Decay Everywhere
• Nuclear Charge Radii of Boron 10 and 11
• Neutron superfluidity and kinks in charge radii at magic numbers
• 50-year-old puzzle about beta-decay rates resolved from first principles
• Nuclear Pasta: strongest material in the universe
• Neutron Drip Line in the Ca Region from Bayesian Model Averaging
• Deep Learning for Nuclear Binding Energy and Radius
• Confronting gravitational waves with modern nuclear physics constraints
• Exploring new small system geometries in heavy ion collisions
• Cluster radioactivity of 294Og
• Scientific discovery through statistics
• Quantum Computing of an Atomic Nucleus
• Ab initio short-range-correlation scaling factors in nuclei up to A=40
• Featherweight Oxygen Explained
• Puzzling Sizes of Extreme Calcium Isotopes
• Neutron-Rich Helium Isotopes: Complex Made Simple
• Bayesian approach to model-based extrapolation of nuclear observables
• Nucleon momentum distributions for local chiral interactions
• First Direct Evidence for the Fastest Neutrino Emission Mechanism in a Neutron Star
• Connecting Neutron Skins to Gravitational Waves
• Quantum Monte Carlo calculations of nuclei with local chiral interactions
• Oganesson is an oddball among atoms and nuclei
• Computing the structure of the lightest tin isotopes
• Computation of fragments in the spontaneous fission of 240Pu
• Theory errors for nuclear calculations using Bayesian statistics
• Quantified complex-energy shell model interaction for light nuclei
• Computer studies of colliding oxygen nuclei
• Variational calculation of closed-shell nuclei up to A = 40

RAPIDS

• Enabling Global Adjoint Tomography at scale through next-generation I/O
• Graphical Model Structure Learning at Unprecedented Scale
• Global Particle-in-Cell Simulation of Fusion Plasmas
• Multivariate, Temporal Visual Analytics for Climate Model Analysis
• Accelerating Earthquake Detection
• Accelerating Weather Research Forecasting Simulations with Deep Neural Network Surrogates
• Accelerating Computational Kernels of Tokamak Simulations (with FASTMath)
• Performance Optimization for Multiscale Gyrokinetic Turbulence
• Accelerating HEP Event Generation and Analysis on HPC Systems
• Accelerating Fusion Fission Simulations
• In situ Viz Unlocks Unsteady Dynamics at Extreme Scale
• Roofline-Based Modeling in Intel Advisor
• Improving Network Throughput with Global Communication Reordering
• Improving Collective Reduction Performance On Manycore Architectures
• Deep Stack Program Optimization
• Autonomic Data Movement for Data Staging-based In-Situ Workflows
• Robust IO Performance Modeling in Leadership-Class Systems by Automated Change Detection
• In Situ Compression Artifact Removal in Scientific Data Using Deep Transfer Learning

TEAMS

• Three-Dimensional CCSN Explosion Models using Fornax (2019)
• Neutron-Star Merger Simulations (2018)
• Gravitational Waves from 3D CCSN models
• Fornax (CCSN simulation capability) code paper
• MAESTROeX Low Mach Number Solver
• Microphysics Dependence of CCSN Explosions
• Explosions of Low-Mass Massive Stars
• Gravitational Waves from Core-Collapse Supernovae
• Exploding 3D CCSN Model
• 3D Fornax Supernova Simulation
• 3D Kilonova Model
• 3D CCSN Correlations

Last updated: 22 August 2019