most citedGrain Size Effects on UV-MIR (0.2-14 micron) Spectra of Carbonaceous Chondrite Groups

21 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2024

The population of small near-Earth objects: composition, source regions and rotational properties

Juan A. Sanchez, Vishnu Reddy, Audrey Thirouin +7

The study of small (300 m) near-Earth objects (NEOs) is important because they are more closely related than larger objects to the precursors of meteorites that fall on Earth. C…

astro-ph.EP202421 cited

Grain Size Effects on UV-MIR (0.2-14 micron) Spectra of Carbonaceous Chondrite Groups

David C. Cantillo, Vishnu Reddy, Adam Battle +7

Carbonaceous chondrites are among the most important meteorite types and have played a vital role in deciphering the origin and evolution of our solar system. They have been linked…

math.NA20232 cited

Analysis of biologically plausible neuron models for regression with spiking neural networks

Mario De Florio, Adar Kahana, George Em Karniadakis

This paper explores the impact of biologically plausible neuron models on the performance of Spiking Neural Networks (SNNs) for regression tasks. While SNNs are widely recognized f…

physics.comp-ph2023

AI-Lorenz: A physics-data-driven framework for black-box and gray-box identification of chaotic systems with symbolic regression

Mario De Florio, Ioannis G. Kevrekidis, George Em Karniadakis

Discovering mathematical models that characterize the observed behavior of dynamical systems remains a major challenge, especially for systems in a chaotic regime. The challenge is…

q-bio.QM20233 cited

AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification

Nazanin Ahmadi Daryakenari, Mario De Florio, Khemraj Shukla +1

Discovering mathematical equations that govern physical and biological systems from observed data is a fundamental challenge in scientific research. We present a new physics-inform…