A lightweight DNS-derived dataset of deformable bubble swarms with spherical-harmonic shape descriptors enables data-driven emulators that achieve 10^4-10^5x speedup over direct simulation.
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4 Pith papers cite this work, alongside 307 external citations. Polarity classification is still indexing.
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Pith papers citing it
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representative citing papers
A new synthesis workflow converts finite-horizon minimum-time optimality into a cooling-demand VPC architecture and safety requirements into near-boundary tuning rules, matching nominal NMPC performance while showing zero temperature-limit violations under mismatch and faults where the NMPC benchmar
Finite volume discretization of Laplace and gradient operators is modified to account for internal voltage jumps, enabling 3D current distribution simulations in liquid metal batteries, validated analytically and applied to Li||Bi discharge.
Stealthy adversarial perturbations of electricity-price forecasts erode but do not eliminate industrial demand-response savings, retaining about 90 % of the advantage over steady-state operation, with impact driven more by perturbation orientation than magnitude.
citing papers explorer
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BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces
A lightweight DNS-derived dataset of deformable bubble swarms with spherical-harmonic shape descriptors enables data-driven emulators that achieve 10^4-10^5x speedup over direct simulation.
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A Theory-Guided Advanced Regulatory Control Synthesis for Cooling-Limited Exothermic Semi-Batch Reactors
A new synthesis workflow converts finite-horizon minimum-time optimality into a cooling-demand VPC architecture and safety requirements into near-boundary tuning rules, matching nominal NMPC performance while showing zero temperature-limit violations under mismatch and faults where the NMPC benchmar
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Modeling discontinuous potential distributions using the finite volume method, and application to liquid metal batteries
Finite volume discretization of Laplace and gradient operators is modified to account for internal voltage jumps, enabling 3D current distribution simulations in liquid metal batteries, validated analytically and applied to Li||Bi discharge.
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Does Demand Response Increase Vulnerability to Cyber Attacks by Adversarial Data Modifications?
Stealthy adversarial perturbations of electricity-price forecasts erode but do not eliminate industrial demand-response savings, retaining about 90 % of the advantage over steady-state operation, with impact driven more by perturbation orientation than magnitude.