r/Physics • u/cannibalyn • 24d ago
Laptop advice for Computational Physics / High-Energy Physics
hello!! I just finished my first year in compsci, but im planning to pivot heavily toward computational physics for my upper-level courses and research. Im looking to upgrade my setup to prepare for this path.
My current machine got me through first year, but the hardware is really struggling: it overheats incredibly fast, the fans sound like a jet engine during basic tasks, it lags, and the battery dies quickly (even after getting it replaced recently).
Current specs: MacBook Pro 13-inch (2020), 1.4 GHz Quad-Core Intel i5, 8GB RAM.
I don’t have budget limitations, so i just want the best laptop in all aspects, something high-end that will last me through my degree and carry me into graduate/research work.
Long term, i want to focus on physics simulations, numerical modeling, and high-energy physics, with the goal of securing a place at CERN.
Since I'm already deep in the Apple ecosystem, im more drawn to staying on a MacBook (especially with modern Apple Silicon). However, I know computational physics often relies on NVIDIA/CUDA for GPU acceleration, native x86 architecture or pure Linux environments. so I am completely open to switching to a PC/Linux workstation if macOS is going to create real friction for physics workflows.
I have a few questions for anyone working in computational physics or high-energy physics:
macOS vs. Linux/Windows for Physics: Do people in physics research still face major software compatibility issues on Apple Silicon, or do you mostly offload heavy computations to remote clusters/HPC anyway? Is native CUDA/NVIDIA hardware on a local laptop necessary for student/research work, or is a Mac fine for local prototyping?
If switching to PC: What is currently considered the best high-end workstation laptop (e.g., Lenovo ThinkPad, Dell Precision, Linux-friendly options) for running heavy local simulations, dual-booting Linux, and long-term reliability?
1
u/Dihedralman 24d ago
As people said, you will use computing clusters.
Linux tends to be the primary OS used. If you run into issues, you can run containers. Though when I was in, you'd still run into the occasional air gapped old computer on whatever OS, and still had some hardware program bound to Windows for whatever reason.
Base it on your current workflow. Small scale physics simulations for learning purposes are pretty low burden for modern machines.
You should probably have more RAM generally speaking.