A Generative Deep Learning and Explainable Machine Learning Framework for Heat Transfer Prediction and Analysis in Porous Structures with Oscillatory Flows

Posted by klaurent Stanford

Kavli Affiliate: Laura Schaefer | Summary:Predicting and interpreting thermal performance under oscillating flow in porous structures remains a critical challenge due to the complex coupling between fluid dynamics and geometric features. This study introduces a data-driven framework that integrates generative deep learning, numerical simulation based on the lattice Boltzmann method (LBM), and interpretable machine learning […]


Continue.. A Generative Deep Learning and Explainable Machine Learning Framework for Heat Transfer Prediction and Analysis in Porous Structures with Oscillatory Flows

Oscillating Heat Transfer Prediction in Porous Structures Using Generative AI-Assisted Explainable Machine Learning

Posted by klaurent Stanford

Kavli Affiliate: Laura Schaefer | Summary:Predicting and interpreting thermal performance under oscillating flow in porous structures remains a critical challenge due to the complex coupling between fluid dynamics and geometric features. This study introduces a data-driven wGAN-LBM-Nested_CV framework that integrates generative deep learning, numerical simulation based on the lattice Boltzmann method (LBM), and interpretable machine […]


Continue.. Oscillating Heat Transfer Prediction in Porous Structures Using Generative AI-Assisted Explainable Machine Learning

The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

Posted by klaurent Harvard

Kavli Affiliate: David Charbonneau | Summary:The “Neptunian ridge” is a recently identified peak in the frequency of planets with sizes between that of Neptune and Saturn orbiting their host stars with periods between 3 and 6 days (A. Castro-González et al. 2024). These planets may have formed similarly to their larger, hot Jupiter counterparts in […]


Continue.. The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Yechen Zhang, Yechen Zhang, , , | Summary: Reinforcement learning (RL) has shown promise in a large number of robotic control tasks. Nevertheless, its deployment on unmanned aerial vehicles (UAVs) remains challenging, mainly because of reliance on accurate dynamic models and platform-specific sensing, which hinders cross-platform transfer. […]


Continue.. CORB-Planner: Corridor as Observations for RL Planning in High-Speed Flight

Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Posted by klaurent Cambridge

Kavli Affiliate: George Efstathiou | Summary:The 21-cm line of hydrogen is the most promising probe of the Dark Ages and Cosmic Dawn. We combine hydrodynamical simulations with a large-scale grid in order to calculate the effect of non-linear structure formation on the large-scale 21-cm power spectrum, focusing on redshifts $z=20-40$. As the clumping effect arises […]


Continue.. Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

Posted by klaurent Cambridge

Kavli Affiliate: George Efstathiou | Summary:The 21-cm line of hydrogen is the most promising probe of the Dark Ages and Cosmic Dawn. We combine hydrodynamical simulations with a large-scale grid in order to calculate the effect of non-linear structure formation on the large-scale 21-cm power spectrum, focusing on redshifts $z=20-40$. As the clumping effect arises […]


Continue.. Probing small-scale dark matter clumping with the large-scale 21-cm power spectrum

The Signature of Sub-galactic Dark Matter Clumping in the Global 21-cm Signal of Hydrogen

Posted by klaurent Cambridge

Kavli Affiliate: George Efstathiou | Summary:It is thought that the Universe went through an early period known as the Dark Ages, during which primeval density fluctuations grew to form the first luminous objects, marking the beginning of Cosmic Dawn around 100 million years after the Big Bang. The 21-cm line of hydrogen atoms is the […]


Continue.. The Signature of Sub-galactic Dark Matter Clumping in the Global 21-cm Signal of Hydrogen

Amorphization-Mediated Si-I to Si-V Phase Transition and Reversible Amorphous-Si-V Phase Memory in Silicon Nanoparticles

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:An experiment has shown that ~10 nm Si nanoparticles undergo a Si-I (diamond cubic) to Si-V (simple hexagonal) phase transition under compression, in contrast to the Si-I to Si-II (tetragonal) transition observed in bulk silicon. However, the atomistic mechanism underlying this size-dependent transition pathway remains unclear. Here, we employ molecular dynamics […]


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Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach

Posted by klaurent Chicago

Kavli Affiliate: Wendy Freedman | Summary:The Period-Luminosity (PL) relation is usually derived using time-averaged magnitudes, which require multiple-epoch observations to determine periods and adequately sample the light curves. Although single-epoch observations are more practical and require significantly less observational effort, they inherently introduce greater photometric scatter, leading to an increased dispersion in the derived Period-Luminosity […]


Continue.. Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach

Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach

Posted by klaurent Chicago

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Mahdi Abdollahi, Mahdi Abdollahi, , , | Summary: The Period-Luminosity (PL) relation is usually derived using time-averaged magnitudes, which require multiple-epoch observations to determine periods and adequately sample the light curves. Although single-epoch observations are more practical and require significantly less observational effort, they inherently introduce […]


Continue.. Mitigating Random-Phase Sampling Noise in the Cepheid Period-Luminosity Relation: A Cross-Filter Consistency Approach