A groundbreaking new method developed at the University of Osaka calculates the entropy of liquids using a non-empirical ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Graph-Based Weather Forecasting with Hierarchical GNNs Project Description This repository contains our implementation of a Hierarchical Graph Neural Network for probabilistic weather forecasting, ...

Accurate prediction of viscosity remains a challenge in industry due to the lack of reliable simple universal models. This work investigates the accuracy of four cubic equations of state (EOS) with ...