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We analyze numerically ensembles of tight-binding Hamiltonians describinghighly-symmetric graphene nanoflakes with weak diagonal disorder induced byrandom electrostatic potential landscapes. When increasing the disorderstrength, statistical distribution of energy levels evolves from Poissonian toWigner, indicating the transition to quantum chaos. Power laws with theuniversal exponent map the disorder strength in nanoflakes of different sizes,boundaries, and microscopic disorder types onto a single parameter in additiverandom-matrix model.

Transition to Quantum Chaos in Weakly Disordered Graphene Nanoflakes