Lars Veldscholte
System Analysis Engineer at Thales
Hengelo, Overijssel, Netherlands
Summary
👤
Senior🎓
Top SchoolLars Veldscholte is a multidisciplinary system analysis engineer with 12 years of experience bridging soft matter physics, computational science, and electronics. He holds a PhD in soft matter physics from the University of Twente where he combined coarse-grained molecular dynamics, lab synthesis, and custom instrumentation (including an open-source humidity controller) to study polymer brush wetting and sorption. Lars contributes to open-source scientific software—refactoring and optimizing core routines in the widely used LAMMPS molecular dynamics code—demonstrating solid back-end and computational physics skills. Now at Thales, he applies his experimental and computational expertise to systems analysis, bringing a rare mix of hands-on lab experience and production-grade code improvements. Colleagues value his ability to translate complex physical models into efficient, maintainable implementations and to mentor students across disciplines.
12 years of coding experience
Doctor of Philosophy - PhD, Soft matter physics, Doctor of Philosophy - PhD, Soft matter physics at University of TwenteVWO, NT/NG, VWO, NT/NG at Carmel College Salland
Dutch, English, German
Github Skills (9)
simulations10
simulation10
lammps10
c-language10
molecular-dynamics-simulation10
cprogramming-language10
molecular-simulation10
dynamics10
computational-physics9
Programming languages (17)
Github contributions (5)
lammps/lammps
Feb 2019 - Jun 2023
Public development project of the LAMMPS MD software package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 1 PR, 14 comments in 4 years 5 months
Contributions summary:Lars contributed to the LAMMPS MD software package by implementing and refactoring core computational functionalities. Their work included integrating bond interactions into the force calculations within the `compute_stress_cartesian.cpp` file. Further, they refactored the `compute_array()` and `compute_pressure()` functions, optimizing the code by removing unnecessary variable copies and improving variable scoping. The user's contributions also encompassed fixing coordinate issues and adding optional keywords to argument calls.
lammpsmolecular-dynamicssimulationkokkos
Compizfox/Backlog
May 2014 - May 2017
Contributions:1 release, 251 commits, 47 pushes in 3 years
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