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  • QDX
  • Singapore

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JSLJ23/README.md
  • Hi, I’m @JSLJ23

  • I work on the intersection of deep learning and high-performance quantum chemistry, with a focus on accelerating electronic structure methods and molecular simulations.

  • My research includes equivariant geometric deep learning for DFT, machine-learned exchange–correlation functionals, and neural network potentials for atomistic modeling.

  • I’m particularly interested in combining physics-informed DL with efficient algorithms and CUDA/C++ implementations to push the scalability of quantum simulations—reducing computational cost while maintaining high accuracy for real-world chemical systems.

  • đź“« How to reach me - joshuaslj231094@gmail.com / www.linkedin.com/in/joshuaslj .

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  1. libtorch_custom_function libtorch_custom_function Public

    Simple example of a custom function for libtorch with a custom cuda kernel

    C++

  2. Hash-Table Hash-Table Public

    A simple hash table implementation in C

    C

  3. AG-JY-Lab/RNA-seq-analysis AG-JY-Lab/RNA-seq-analysis Public

    This repository maintains an end to end downstream workflow (post FASTQ alignment) of bulk RNA sequencing analysis from gene read counts to functional enrichment analysis.

    R 5

  4. totp_rust totp_rust Public

    Basic example of TOTP 2FA authentication in Rust

    Rust