hanfengzhai

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

BubbleNet

A physics-informed deep learning architecture for inferring bubble dynamics

DARPA-FFT

Time-series prediction model for the DARPA FFT Challenge

DeepONets

hanfengzhai.github.io

Personal Webpage

materials-discovery-benchmark

Benchmarking inverse optimization algorithms for materials design

multiscale-graphene-fracture

Source codes for study on multiscale bridging & thermal gradient effect on graphene crack propagation

PIDOC

Using physics-informed neural network to simulate nonlinear control

PyLAMDO

A Python-Lammps implementation for Materials Optimization and Design

swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

hanfengzhai/BubbleNet

A physics-informed deep learning architecture for inferring bubble dynamics

hanfengzhai/PIDOC

Using physics-informed neural network to simulate nonlinear control

hanfengzhai/multiscale-graphene-fracture

Source codes for study on multiscale bridging & thermal gradient effect on graphene crack propagation

hanfengzhai/hanfengzhai.github.io

Personal Webpage

hanfengzhai/materials-discovery-benchmark

Benchmarking inverse optimization algorithms for materials design

hanfengzhai/PyLAMDO

A Python-Lammps implementation for Materials Optimization and Design

hanfengzhai/boiling-flow

hanfengzhai/CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

hanfengzhai/cs5777

Principles of Large Scale Machine Learning

hanfengzhai/DeePMD-Graphene

Training a potential field of graphene based on DFT data from Quantum ESPRESSO using Deep Potential method.

hanfengzhai/FEA-from-scratch

hanfengzhai/fly

上海大学溯源手册（SHUFly）

hanfengzhai/FNO-Elasticity

Using FNO to learning elasticity model of composite materials

hanfengzhai/FNO-Inverse-Design

Use Fourier transform to learn operators in differential equations.

hanfengzhai/furo

A clean customizable documentation theme for Sphinx

hanfengzhai/GPUMD

Graphics Processing Units Molecular Dynamics

hanfengzhai/hyper_nonlinearFEA

Solve static non-linear mechanics problems using Finite Elements Method for hyperelastic materials

hanfengzhai/lammps

Public development project of the LAMMPS MD software package

hanfengzhai/m3gnet

Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.

hanfengzhai/megnet

Use MEGNet & heuristic optimization for inverse materials design

hanfengzhai/monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

hanfengzhai/neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

hanfengzhai/Nonlinear-FEA

Homework codes for nonlinear finite element analysis

hanfengzhai/normalizing-flows

PyTorch implementation of normalizing flow models

hanfengzhai/nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

hanfengzhai/ParaDiS

ParaDiS (Parallel Dislocation Simulator) is a massively parallel Discrete Dislocation Dynamics simulation tool to simulate motion and interaction of large ensembles of dislocations

hanfengzhai/PDE-FIND

hanfengzhai/PetGPT

Train your own PetGPT at home!

hanfengzhai/Thermodynamics-Problems

Problem sets of advanced engineering thermodynamics using Cantera

hanfengzhai/tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.