Skip to content
View emmanuellujan's full-sized avatar
πŸ€“
πŸ€“

Organizations

@JuliaLabs @LSC-UBA @CSC-CONICET @LICAR-UBA @cesmix-mit

Block or report emmanuellujan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
emmanuellujan/README.md

Hi there πŸ‘‹

  • πŸ’» Computational Scientist. Research Software Engineer.
  • πŸš€ I work at Julia Lab πŸ’ͺ MIT
  • βš› I’m currently working on the CESMIX project, accelerating atomistic simulations through machine learning, software composability, differentiable programming, and high-performance computing.
  • πŸ”­ I’m looking for collaborators to our growing atomistic suite, in particular you can take a look at PotentialLearning.jl and InteratomicPotentials.jl.
  • πŸ“« How to reach me: [email protected]

Pinned Loading

  1. LSC-UBA/OpenEP LSC-UBA/OpenEP Public

    An open source electrical-thermal simulator for electroporation-based treatments.

    C++ 11

  2. cesmix-mit/PotentialLearning.jl cesmix-mit/PotentialLearning.jl Public

    PotentialLearning.jl: Optimize your atomistic data and interatomic potential models in your molecular dynamic workflows.

    Julia 21 10

  3. LSC-UBA/LibreGrowth LSC-UBA/LibreGrowth Public

    An open source tumor growth code based on reaction-diffusion equations using shared memory.

    C++ 3

  4. CSC-CONICET/Lite-NBIoT-NPUSCH-Simulator CSC-CONICET/Lite-NBIoT-NPUSCH-Simulator Public

    NB-IoT: a simplified NPUSCH simulator

    Python 3

  5. VHDL-Pipelined-MIPS VHDL-Pipelined-MIPS Public

    An open source simplified pipelined MIPS processor in VHDL.

    VHDL 2

  6. Boring-code Boring-code Public

    Simple programming examples

    Python