Low-noise Pauli-consistent ensemble Monte Carlo for graphene with electron-electron scattering
Tigran Zalinyan, Giovanni Nastasi

TL;DR
This paper presents a novel sampled-partner approximation for ensemble Monte Carlo simulations of graphene, significantly reducing computational costs while maintaining accuracy, enabling low-noise, large-ensemble simulations.
Contribution
Introduction of a sampled-partner approximation for electron-electron scattering in Monte Carlo simulations, improving efficiency without sacrificing accuracy.
Findings
Close agreement with full-sum reference simulations.
Substantial reduction in computational cost.
Oscillatory artifacts are numerical and can be mitigated.
Abstract
We investigate Pauli-consistent ensemble Monte Carlo simulations of graphene with explicit intraband electron-electron scattering. To reduce the cost of electron-electron proposal-rate evaluation, we introduce a sampled-partner approximation that replaces the full partner-cell sum by uniform sampling from the instantaneous ensemble, while leaving the event-level collision step unchanged. Comparison with the full-sum reference shows close agreement together with a substantial reduction in computational cost, enabling large-ensemble low-noise simulations. In this regime, systematic oscillatory components become clearly resolved in ensemble-averaged time traces. We show that these oscillations are numerical and originate from deterministic drift on the discretized momentum-space grid. We also discuss a procedure for reducing their impact in recorded observables without modifying the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
