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References of CFD self-education.
Fast and differentiable tools for analysis and optimization on structured and unstructured data in cosmology. Powered by JAX.
Python library for simulating heat transfer processes
A library for Koopman Neural Operator with Pytorch.
Matlab implementation of patent Transmission-line simulators and methods (Patent# 8892414, Application# 12/713941).
Python antenna and transmission line modeling and plotting utilities.
Collection of analytical models of transmission lines including derivative computation
Multilayer Multiconductor Transmission Line 2-D and 2.5-D electromagnetic modeling tool suite
Improving hyperthermia treatment by controlling temperature distribution in both 1D and 2D domains and thermal energy applied to cutaneous and subcutaneous tissues, through Bio-Heat equation with …
Transmission-line Modeling Method applied to BioHeat Transfer Problems
Real-time computation of bio-heat transfer in the fast explicit dynamics finite element algorithm (FED-FEM) framework
A library for scientific machine learning and physics-informed learning
"Differentiable Agent-Based Models" tutorial presented at AAMAS 2024.
Tutorial on Differentiable Probabilistic Programming for Agent-Based Models at ICAIF 2024.
Pytorch-based Differentiable Slicing for Mesh Learning in Medical Imaging
Rainfall-runoff modeling using HBV. Options to run in a lumped or distributed form. Differential Evolution, Robust Parameter Estimation and Brute force algorithms used for calibration. Multi-basin …
A term project that uses a hybrid distributed-lumped parameter model to simulate an aorta bifurcation and calculate the impedance modulus and phase based on a range of frequencies and other paramet…
Modular Python project for modelling the cardiovascular system based on lumped parameter models.
reproduction of heart lumped parameter model in python code and compared with Matlab simulink
Implementation of a PINN model associated with a lumped parameter description of the circulatory system for rapid parameter estimation
Masters thesis: A lumped parameter model and solver for simulating blood flow.
GaiaOS is an advanced, black-box environmental control system leveraging symbolic-connectionist neural networks for robust homeostasis and predictive correction. It autonomously learns and adapts t…
Dataset for a reinforcement learning application involving glucose homeostasis in the ICU, using the MIMIC-III Clinical Dataset
ebpH (Extended BPF Process Homeostasis) monitors process behavior on your system to establish normal behavioral patterns. ebpH reports anomalous behavior and prevents attacks by denying anoamlous a…
To explore how complex and stable motor control can emerge from neurons, we designed neural cellular automata to robustly control a cart-pole agent.
Official code for Inferring Hybrid Neural Fluid Fields from Videos (NeurIPS 2023)