Relaxation Effects in Twisted Bilayer Graphene: a Multi-Scale Approach
Nicolas Leconte, Srivani Javvaji, Jiaqi An, Appalakondaiah Samudrala,, Jeil Jung

TL;DR
This paper develops a multi-scale computational approach combining DFT, molecular dynamics, and tight-binding methods to accurately model atomic and electronic structures of twisted bilayer graphene, resolving the variability in predicted magic angles.
Contribution
It introduces a calibrated multi-scale model that accurately predicts the magic angle at 1.08° by integrating DFT-informed force fields and electronic structure calculations.
Findings
Calibrated the magic angle to 1.08° using rescaled interlayer tunneling.
High-resolution spectral functions match experimental ARPES data.
Atomic and electronic structures are interdependent, influencing the magic angle prediction.
Abstract
We present a multi-scale density functional theory (DFT) informed molecular dynamics and tight-binding (TB) approach to capture the interdependent atomic and electronic structures of twisted bilayer graphene. We calibrate the flat band magic angle to be at by rescaling the interlayer tunneling for different atomic structure relaxation models as a way to resolve the indeterminacy of existing atomic and electronic structure models whose predicted magic angles vary widely between . The interatomic force fields are built using input from various stacking and interlayer distance dependent DFT total energies including the exact exchange and random phase approximation (EXX+RPA). We use a Fermi velocity of ~m/s for graphene that is enhanced by about over the local density approximation (LDA)…
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