output
20142026
most citedHydrochemical interactions of phoretic particles: a regularized multipole framework

23 citations

13 papers

hep-ex2026

Latin American HECAP Physics Briefing Book 2025

Mario A. Acero, Alexis A. Aguilar-Arevalo, Belén Andrada +24

The first process for the Latin American Strategy Forum for Research Infrastructure for High Energy, Cosmology and Astroparticle Physics (LASF4RI-HECAP) came to a conclusion in Oct…

cs.DC2025

Implementing Multi-GPU Scientific Computing Miniapps Across Performance Portable Frameworks

Johansell Villalobos, Josef Ruzicka, Silvio Rizzi

Scientific computing in the exascale era demands increased computational power to solve complex problems across various domains. With the rise of heterogeneous computing architectu…

q-bio.PE2025

Unlocking tropical forest complexity: How tree assemblages in secondary forests boost biodiversity conservation

Maïri Souza Oliveira, Maxime Lenormand, Sandra Luque +11

Secondary forests now dominate tropical landscapes and play a crucial role in achieving COP15 conservation objectives. This study develops a replicable national approach to identif…

cs.AR2025

A Quantitative Evaluation of Approximate Softmax Functions for Deep Neural Networks

Anthony Leiva-Valverde, Fabricio Elizondo-Fernández, Luis G. León-Vega +2

The softmax function is a widely used activation function in the output layers of neural networks, responsible for converting raw scores into class probabilities while introducing…

physics.plasm-ph2024

Characterization of the SCR-1 Stellarator Physics: Investigating Plasma Discharge, MHD Equilibrium Calculations, and O-X-B Mode Conversion Feasibility

R. Solano-Piedra, V. I. Vargas, L. A. Araya-Solano +1

The Stellarator de Costa Rica 1 (SCR-1) is a modular stellarator with a small aspect ratio that serves as a valuable research and training tool for plasma magnetic confinement. Thi…

cs.LG2022★ 2 cited

Performance of Deep Learning models with transfer learning for multiple-step-ahead forecasts in monthly time series

Martín Solís, Luis-Alexander Calvo-Valverde

Deep Learning and transfer learning models are being used to generate time series forecasts; however, there is scarce evidence about their performance prediction that it is more ev…

eess.SY2021

A fast co-simulation approach to vehicle/track interaction with finite element models of S&C

Demeng Fan, Michel Sebès, Emmanuel Bourgeois +2

Simulations of vehicle/track interaction (VTI) in switches and crossings (S\&C) require taking into account the complexity of their geometry. The VTI can be handled via a co-simula…

physics.flu-dyn2021★ 23 cited

Hydrochemical interactions of phoretic particles: a regularized multipole framework

Francisco Rojas-Perez, Blaise Delmotte, Sebastien Michelin

Chemically-active colloids modify the concentration of chemical solutes surrounding them in order to self-propel. In doing so, they generate long-ranged hydrodynamic flows and chem…

cs.LG2021★ 5 cited

More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data

Saul Calderon-Ramirez, Luis Oala

A common heuristic in semi-supervised deep learning (SSDL) is to select unlabelled data based on a notion of semantic similarity to the labelled data. For example, labelled images…

cond-mat.mtrl-sci2020★ 2 cited

MgO surface lattice phonons observation during Interstellar ice transition

A. Chavarría-Sibaja, S. Marín-Sosa, E. Bolaños-Jiménez +2

Relevant information on the origins of the solar system and the early evolution of life itself can be derive from systematic and controlled exploration of amorphous water ice here…

cs.SE2020★ 10 cited

Wayback Machine: A tool to capture the evolutionary behaviour of the bug reports and their triage process in open-source software systems

Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú +2

The issue tracking system (ITS) is a rich data source for data-driven decision-making. Different characteristics of bugs, such as severity, priority, and time to fix, provide a cle…

math.OC2018

Best approximations of non-linear mappings: Method of optimal injections

Anatoli Torokhti, Pablo Soto-Quiros

While the theory of operator approximation with any given accuracy is well elaborated, the theory of {best constrained} constructive operator approximation is still not so well dev…

gr-qc2014

A Computer Program for the Newman-Janis Algorithm

Carlos Gutierrez-Chavez, Francisco Frutos-Alfaro, Ivan Cordero-Garcia

A REDUCE code for the Newman-Janis algorithm is described. This algorithm is intended to include rotation into nonrotating solutions of the Einstein field equations with sphericall…