About our Projects

All projects listed here are open source and can be accessed through their respective GitHub repositories. We encourage collaboration, feedback, and contributions to these projects.

Generative BigSMILES: (G-BigSMILES)

Ludwig Schneider, Dylan Walsh, Bradley Olsen, Juan de Pablo

This code implements a parser for an extension of the original bigSMILES notation.

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A Parameter-Free Tour of the Binary Black Hole Population

Thomas A. Callister and Will M. Farr

This repository holds code and data release products behind the paper "A parameter-free tour of the binary black hole population"

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Ding-DASH

Rui Ding, Jianguo Liu, Kang Hua, Xuebin Wang, Xiaoben Zhang, Minhua Shao, Yuxin Chen, Junhong Chen

This is the online repository that stores code, data and supplementary figures of the research work: Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts

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Trailing Neural Operators

Jiang, Ruoxi and Lu, Peter Y and Orlova, Elena and Willett, Rebecca

This is the implementation for the NeurIPS 2023 paper "Training neural operators to preserve invariant measures of chaotic attractors".

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