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Results for “nonlinearity”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging
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Nonlinear time-domain soil–structure interaction analysis of embedded reactor structures subjected to earthquake loads
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Quantum Nonlinear Optics with Polar J-Aggregates in Microcavities
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Highly nonlinear defect-induced carrier recombination rates in semiconductors
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Study of the L-mode tokamak plasma “shortfall” with local and global nonlinear gyrokinetic δf particle-in-cell simulation
The δ f particle-in-cell code GEM is used to study the transport “shortfall” problem of gyrokinetic simulations. In local simulations, the GEM results confirm the previously reported simulation results of DIII-D [Holland et al., Phys. Plasmas 16, 052301 (2009)] and Alcator C-Mod [Howard et al., Nucl. Fusion 53, 123011 (2013)] tokamaks with the continuum code GYRO. Namely, for DIII-D the simulations closely predict the ion heat flux at the core, while substantially underpredict transport towards the edge; while for Alcator C-Mod, the simulations show agreement with the experimental values of ion heat flux, at least within the range of experimental error. Global simulations are carried out for DIII-D L-mode plasmas to study the effect of edge turbulence on the outer core ion heat transport. The edge turbulence enhances the outer core ion heat transport through turbulence spreading. However, this edge turbulence spreading effect is not enough to explain the transport underprediction.
Influence of multi-exciton correlations on nonlinear polariton dynamics in semiconductor microcavities
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Accurate Modeling of Material Nonlinearities in a Wind Turbine Spar Cap.
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Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction
Here, this work introduces an online greedy method for constructing quadratic manifolds from streaming data, designed to enable in situ analysis of numerical simulation data on the Petabyte scale. Unlike traditional batch methods, which require all data to be available upfront and take multiple passes over the data, the proposed online greedy method incrementally updates quadratic manifolds in one pass as data points are received, eliminating the need for expensive disk input/output operations as well as storing and loading data points once they have been processed. A range of numerical examples demonstrate that the online greedy method learns accurate quadratic manifold embeddings while being capable of processing data that far exceed common disk input/output capabilities and volumes as well as main-memory sizes.
Scaling of nonlinear susceptibilities in an artificial permalloy honeycomb lattice
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Nonlinear phononic control and emergent magnetism in Mott insulating titanates
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Orbital magnetic quadrupole moment and nonlinear anomalous thermoelectric transport
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Double Soft Theorems and Shift Symmetry in Nonlinear Sigma Models
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