Computational physics.
Overview
Works: | 52 works in 0 publications in 0 languages |
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Titles
Direct Numerical Simulations of Multiphase, Stratified, Environmental Fluid Flows.
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Machine Learning and Ab Initio Insights into the Design of Lithium-Based Materials.
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The Express Route to Ab Initio Materials Simulation : = An Adaptable, High-Throughput Workflow Framework.
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Numerical Methods and Analysis Tools for Material Mechanics Across Scales.
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Statistical Advances in Simultaneous Diagonalization and Joint Object Detection.
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Estimation and Utilization of Reconstruction Uncertainty for Atom Probe Feature Extraction.
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Effective Quantum Many-Body Theories : = Studies of Electronic Structure & Electron-Phonon Coupled Properties near Interfaces in Superconductors.
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Spacecraft Trajectory Design and Control Leveraging Quasi-periodic Orbits.
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Multiscale Bragg Coherent Diffraction Imaging for Polycrystals.
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Orientation Field Model for Grain Growth Accounting for Five Crystallographic Degrees of Freedom.
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Numerical Methods for Stellarator Equilibrium and Optimization : = Continuation Methods, Free Boundary Equilibrium, and Constrained Optimization.
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Gradient-Enhanced Robust Design Optimization for Engineering Systems Under Uncertainty.
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Numerical Simulations and Modeling of Equilibrium and Non-Equilibrium Turbulent Flows on Rough Surfaces.
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Traversing Quantum Many-Body Hilbert Spaces with Neural Networks.
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Computational Modeling of Black Phosphorus Terahertz Photoconductive Antennas using COMSOL Multiphysics with Experimental Comparison against a Commercial LT-GaAs Emitter.
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Modeling of Electromagnetic Responses With Respect to Design Variables : = Local Gradients, Surrogate Modeling, and Deep Learning Neural Network.
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Bayesian Machine Learning Algorithms for Uncertainty Quantification, Optimization, and Equation Discoveries in Engineering Physics = = Algorithmes de machine learning bayesiens pour la quantification d'incertitude, l'optimisation et la decouverte d'equations en physique et genie mecanique.
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The Role of Turbulent Layers on Microphysical Enhancement Inferred From SNOWIE Observations.
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Experimental and Computational Aerodynamic Studies of Axially-Oriented Low-Fineness-Ratio Cylinders.
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Development of a High-Order Cut-Cell Method for CFD-Based Design Optimization.
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High-fidelity Unstructured Overset Simulation of Complex Turbulent Flows.
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Computationally Efficient Data-Enhanced Manifold Modeling of Multi-Modal Turbulent Combustion.
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Low Thrust Transfers Between Periodic Orbits in the Earth-Moon Circular Restricted Three-Body Problem.
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Probabilistic Learning of Operator Interest in Surveillance Environments for Online Track Characterization.
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A Data Science Perspective on Searches for New Physics at the LHC.
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Creating Fluid Game Assets by Synchronizing Video Textures to Geometry Sequences.
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Applying Quantum Approximate Optimization to the Heterogeneous Vehicle Routing Problem.
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Vibration and Attitude Control of Square Solar Sails Using Tip Vane Null Motion.
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Solar Torque and Dissipation Dynamics for Tumbling Bodies: Theory and Observations.
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Thermodynamics and kinetics of unconventional routes to evaporation in liquids and glasses.
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Effects of Submesoscale Turbulence on Reactive Tracers in the Upper Ocean.
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A Multi-Scale, Multi-Continuum and Multi-Physics Model to Simulate Coupled Fluid Flow and Geomechanics in Shale Gas Reservoirs.
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A Mapping-Variable Ring Polymer Molecular Dynamics Study of Multi-State Reaction Mechanisms in the Condensed Phase.
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Analysis of Gas-Particle Flows through Multi-Scale Simulations.
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Computation as a Model Building Tool in a High School Physics Classroom.
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Nonlinear Inference in Partially Observed Physical Systems and Deep Neural Networks.
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Development of a High-Order Navier-Stokes Solver Using Flux Reconstruction to Simulate Three-Dimensional Vortex Structures in a Curved Artery Model.
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Investigation of the Flow Features Capturing Capabilities of the Integro-Differential Scheme (IDS).
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Peridynamic Modeling and Impact Testing of Dynamic Damage, Fracture, and Failure Process in Fiber-Reinforced Composite Materials.
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