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Haonan Yu - Computational Chemistry

Hi there, it's Haonan Yu. I'm a fresh-year Ph.D. student at School of Energy Science and Engineering, Central South University.

I'm luckily advised by Prof. Zhiqiang Sun, co-advised by Dr. Hanzi Liu.

Here is uh, here's my resume. I mean technically it says uh curriculum vitae. - Jesse Pinkman in the show "Breaking Bad"

Curriculum Vitae

My previous experience is primarily focuses on Computer/Computational Science.

I'm currently working on:

  • Computational Chemistry
  • Nanoparticle/Surface/Lattice Structure
  • AI for Energy Science

I believe that Deep Work yields the best, but when I can't concentrate, I like to browse Hacker News.

I'm open to ideas, both theoretical and experimental. If you want to collaborate with me, please send me a long email.

I apologize for such a long letter. I didn't have time to write a short one. - Blaise Pascal

Haonan Yu's Projects

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

cs229-2018-autumn icon cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

dft-book icon dft-book

A book on modeling materials using VASP, ase and vasp

fromthetransistor icon fromthetransistor

From the Transistor to the Web Browser, a rough outline for a 12 week course

matsciml icon matsciml

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

wherewulff icon wherewulff

WhereWulff: A semi-autonomous workflow for systematic catalyst surface reactivity under reaction conditions

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