Publications
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Jump to search filtersMaterials Data Driven Design (MAD3)
Physics-informed machine learning applications for forward and inverse modeling
Surface roughness noise and comprehensive depth-dependent noise effects on coherence time of NV centers in diamond
NSE workplace of the future: Enabling a LPS ready workforce
Evaluation and Calibration of Epistemic Uncertainty
Enabling Molecular Dynamics Simulations of Helium Bubble Formation in Tritium-Containing Austenitic Stainless Steels:An Fe-Ni-Cr-H-He Interatomic Potential
Driving innovative blade design and O&M through the Additive-Manufactured, System-Integrated Tip (AMSIT) Project
Achieving and maintaining performance and performance portability within the Albany multi-physics code: perspectives & tools
QSCOUT: An Open Quantum Computing Testbed with Low-Level Access to the Hardware and Software (Part I)
Tensor Decompositions using Stochastic and Deterministic Optimization
Influence of Spontaneous Surface Oxide Decomposition on High Temperature Carbon Oxidation Rates
Measuring and Assessing Uncertainty in Data Fusion Algorithms
Dry electrolyte polishing of as-printed additively manufactured stainless steel
MiSSCyM: A Manufacturing Simulation Framework for Cyber Experimentation
Effect of Linker Structure and Functionalization on Secondary Gas formation in Metal-Organic Frameworks
Radiation Instability of Thermally Stable Nanocrystalline Pt-Au System
Machine Learning Classification and Reduction of CAD Parts for Rapid Design-to-Simulation
Uncertain Material Parameter Extraction using FEKO Optimizations for Space Applications
Structure-property Relationships of ZIF-based Porous Liquids for CO2 Adsorption
MACCS User Guide (V.4.2)
GPU-Accelerated Lattice Boltzmann Method for Shock Physics Computations
Modular and Scalable Solutions of Machine Learned Models (for Material Science and Beyond)
Light scattering study of soot produced by burning contaminated liquid fuels with heavy metals ions
Conductivity predictions for warm dense beryllium from first principles
Accident Source Terms
Exoskeletons for DOE-EM and other Hazardous Operations
Feedback-based Quantum Algorithms for Ground State Preparation of the Fermi-Hubbard Model
Considerations for Secure Data Exchange to Achieve Cyber-Physical Situational Awareness in the Electric Grid
Modeling Low-Frequency Hamiltonian Noise
Probabilistic computing and stochastic devices
Toward real-time intrusion detection in cyber networks
Spectral Gaps via Imaginary Time
Experimental demonstration of mirror circuit fidelity estimation
Ultrafast Core-Level Spectroscopy of Two- and Multi-body Photodissociation Dynamics
Dynamic Modeling Requirements for Complex Threats to Climate Security
Feedback-based quantum algorithms
Damage evolution in Al alloys assessed via X-ray computed tomography and crystallographic orientation data
Characterization and Simulation of Cement-Rock Interface Long-Term Performance – 23577
Risk Frameworks for Climate
Optimal ground state approximations for sparse Hamiltonians
Polydiacetylene Sensor Arrays as Multimodal Tamper Indicators
Edge Transport in Quantum Spin Hall Insulator-Superconductor Heterostructures
The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources
Towards the Characterization of Cyber-Physical System Interdependencies in the Electric Grid
Co-Designing Open-Source Hardware With The Structural Simulation Toolkit
Concentrating Solar Power for Cement Decarbonization
Probing logical error models with gate set tomography
A Lagrangian model with stochastic wind for atmospheric aerosol transport
Investigating the influence of local composition on properties in complex alloys using machine learned interatomic potentials
Results 3451–3500 of 99,299