# 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

- (e,e’p) study of momentum distribution ratios in A=3 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
- Resolution Dependence of CCSN 3D Simulations

*Last updated: 26 September 2019*