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3 followers · 2 following
  • Livermore, CA

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Shark

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@mfem

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talinke/README.md

Tim Linke | Computational Engineer

🔹 Work in Scientific Computing, Numerical Methods, and High-Performance Computing
🔹 Passionate about Computational Physics

Selected Contributions

🔹 mfem – Modular Finite Element Method Library (LLNL). Contributed an Optimization Routine Suitable for Highly Parallel, Nonlinear Problems.
🔹 LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator (Sandia). Contributed a Modern Langevin Algorithm for Molecular Dynamics.
🔹 PDE -> Machine Learning Framework for Fusion Applications – A multithread and GPU accelerated PDE solver serves as a testbed for a neural network in JAX, complemented by a Gaussian Process for uncertainty quantification.
🔹 Concurrent Multiscale Framework – Coupling Self-Written Direct Simulation Monte Carlo and Molecular Dynamics Algorithms.

Questions and Comments

🔹 Website: Tim A. Linke
🔹 LinkedIn: linkedin.com/in/tim-linke

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  1. Concurrent-DSMC-MD Concurrent-DSMC-MD Public

    Run concurrent simulations of Direct Simulation Monte Carlo and Molecular Dynamics

    C 1

  2. lammps_langevin lammps_langevin Public

    Public development project of the LAMMPS MD software package

    C++

  3. SolarSystemSimulation SolarSystemSimulation Public

    Simulate the solar system (or any n-body simulation) using this code. Its intuitive user interface lets you visualize movement, obtain orbital data for a specific body, and add in new bodies.

    C

  4. PDE-ML-Framework-for-ICF-Capsule-Heat-Transport PDE-ML-Framework-for-ICF-Capsule-Heat-Transport Public

    A computational testbed for fusion: finite-difference PDE solver in C, Gaussian process uncertainty quantification, and JAX neural network surrogates. Demonstrates end-to-end physics–ML integration…

    Python