Blog
Intermittency and non-universality of pair dispersion in isothermal compressible turbulence
Statistical properties of the pair dispersion of Lagrangian particles (tracers) in incompressible turbulent flows provide insights into transport and mixing. We explore the same in transonic to supersonic compressible turbulence of an isothermal ideal gas in two dimensions, driven by large-scale solenoidal...
Effective field theory of coupled dark energy and dark matter
We formulate an effective field theory (EFT) of coupled dark energy (DE) and dark matter (DM) interacting through energy and momentum transfers. In the DE sector, we exploit the EFT of vector-tensor theories with the presence of a preferred time direction on...
Enhancing the controllability of quantum systems via a static field
In this paper we discuss how a general bilinear finite-dimensional closed quantum system with dispersed parameters can be steered between eigenstates. We show that, under suitable conditions on the separation of spectral gaps and the boundedness of parameter dispersion, rotating wave and...
You Are What You Bought: Generating Customer Personas for E-commerce Applications
In e-commerce, user representations are essential for various applications. Existing methods often use deep learning techniques to convert customer behaviors into implicit embeddings. Tuttavia, these embeddings are difficult to understand and integrate with external knowledge, limiting the effectiveness of applications such as...
Physics-based super-resolved simulation of 3D elastic wave propagation adopting scalable Diffusion Transformer
In this study, we develop a Diffusion Transformer (referred as to DiT1D) for synthesizing realistic earthquake time histories. The DiT1D generates realistic broadband accelerograms (0-30 Hz resolution), constrained at low frequency by 3-dimensional (3D) elastodynamics numerical simulations, ensuring the fulfillment of the...
An All-Optical Metro Network Architecture and QoS-Aware Wavelength Allocation Study for Converged Fixed, Mobile, and Edge Computing Multi-Granular Traffic
In questo documento, we introduce an all-optical metro network architecture, called MOON, to serve converged multigranular traffic from fixed, mobile, and edge computing services. Since traffic is characterized by high dynamicity and diverse access requirements, MOON uses network slicing to provide quality...
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
Effective stock price forecasting (estimating future prices) and prediction (estimating future price changes) are pivotal for investors, regulatory agencies, and policymakers. These tasks enable informed decision-making, risk management, strategic planning, and superior portfolio returns. Despite their importance, forecasting and prediction are challenging...
Multipole nuclear shielding factors of hydrogen atom confined by a spherical cavity
Nuclear shielding factor is an important quantity to describe the response of an atom under the perturbation of an external field. In questo lavoro, we develop the sum-over-states numerical method and the Hylleraas variational perturbation approximation to calculate the multipole nuclear shielding...
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space
We present Dargana, a fine-tuned variant of the EarthPT time-series foundation model that achieves specialisation using
Simple Universally Optimal Dijkstra
Let G be a weighted (directed) graph with n vertices and m edges. Given a source vertex s, Dijkstra’s algorithm computes the shortest path lengths from s to all other vertices in O(M + n log n) tempo. This bound is known...