Lubrication model shows solutal Marangoni and capillary forces attract same-composition binary droplets while thermal Marangoni repels them and solutal Marangoni drives chasing between different-composition droplets, corroborated by water-morpholine experiments.
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A new well-balanced high-order scheme for non-conservative hyperbolic systems with sources, verified on blood flow equations in arterial networks.
SIDER-n achieves local consistency of order n+1 for smooth spherical curves via a degree-filtered formal expansion framework that cancels leading error terms recursively.
Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.
Uses MPRK solvers and WENO post-processing to optimize time-varying hyperparameters in existing COVID-19 models and reports 5-day forecasts within 10% error for a Ghana case study.
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Translation dynamics of evaporating sessile binary-mixture droplet populations
Lubrication model shows solutal Marangoni and capillary forces attract same-composition binary droplets while thermal Marangoni repels them and solutal Marangoni drives chasing between different-composition droplets, corroborated by water-morpholine experiments.
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Local Consistency and Higher-Order Structure of Spherical Interpolation
SIDER-n achieves local consistency of order n+1 for smooth spherical curves via a degree-filtered formal expansion framework that cancels leading error terms recursively.
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Model Order Reduction Techniques for the Stochastic Finite Volume Method
Interpolation-based ROM techniques with Q-DEIM hyper-reduction are applied to reduce computational cost and memory use of stochastic integrals in the SFV method for high-dimensional stochastic spaces.
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Using Machine Learning to Enhance Hyperparameter Optimization in Pandemic Modeling: Case study of COVID-19 Dynamics in Ghana
Uses MPRK solvers and WENO post-processing to optimize time-varying hyperparameters in existing COVID-19 models and reports 5-day forecasts within 10% error for a Ghana case study.