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Results for “Diffusion model”
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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Multicomponent Fickian solution-diffusion model for osmotic transport through membranes
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Gross tumor volume confidence maps prediction for soft tissue sarcomas from multi-modality medical images using a diffusion model
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Ab initio structure solutions from nanocrystalline powder diffraction data via diffusion models
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Implications of a two-fluid heat diffusion model for RF condensation effects in magnetic islands
Theoretical calculations have predicted an “RF condensation” effect through which the temperature perturbation and current drive may be nonlinearly enhanced in electron cyclotron (EC) heated magnetic islands. Previously, two-fluid effects had been neglected in the OCCAMI code used to model RF condensation. For realistic experimental conditions, we show that two-fluid effects in an EC heated plasma may have a major impact on RF condensation. Less collisional plasmas, where electron and ion temperatures are decoupled, exhibit an enhanced linear temperature perturbation in the island, and an even stronger nonlinear enhancement of the perturbed temperature. This can occur even when nonlinear effects are small in the single-fluid limit. We also calculate corresponding hysteresis effects. Finally, we demonstrate that other physical effects, including the rotation of the magnetic island and the Gaussian spread of the beam from a gyrotron, can significantly decrease the predicted observable RF condensation effect.
Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames
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Parameter inference and uncertainty quantification with diffusion models: extending CDI to 2D spatial conditioning
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Fast point cloud generation with diffusion models in high energy physics
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Superresolution emulation of large cosmological fields with a 3D conditional diffusion model
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DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
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ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a language diffusion model
Through evolution, nature has presented a set of remarkable protein materials, including elastins, silks, keratins and collagens with superior mechanical performances that play crucial roles in mechanobiology. However, going beyond natural designs to discover proteins that meet specified mechanical properties remains challenging. Here, we report a generative model that predicts protein designs to meet complex nonlinear mechanical property-design objectives. Our model leverages deep knowledge on protein sequences from a pretrained protein language model and maps mechanical unfolding responses to create proteins. Via full-atom molecular simulations for direct validation, we demonstrate that the designed proteins are de novo, and fulfill the targeted mechanical properties, including unfolding energy and mechanical strength, as well as the detailed unfolding force-separation curves. Our model offers rapid pathways to explore the enormous mechanobiological protein sequence space unconstrained by biological synthesis, using mechanical features as the target to enable the discovery of protein materials with superior mechanical properties.
Optimization?Based Coupling of Nonlocal and Local Diffusion Models.
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Oxygen Diffusion Model using the THERMOCHIMICA Module in Moose/Bison
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Analysis of Anisotropic Nonlocal Diffusion Models: Well-posedness of Fractional Problems for Anomalous Transport.
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Fast & Accurate Calorimeter Simulation With Diffusion Models
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Conditional Diffusion Models for Interlocking Metasurface Design
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