no code implementations • 5 Mar 2024 • Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan, Yasaman Bahri, Michael P. Brenner, Eun-Ah Kim
We evaluate GPT-4's performance in executing the calculation for 15 research papers from the past decade, demonstrating that, with correction of intermediate steps, it can correctly derive the final Hartree-Fock Hamiltonian in 13 cases and makes minor errors in 2 cases.
no code implementations • 9 Mar 2021 • Sankar Das Sarma, Haining Pan
Focusing specifically on the recently retracted Nature 2018 Zhang et al. work [Zhang et al., Nature (2021)] and the related recently available correctly analyzed data from this Delft experiment [Zhang et al., arXiv:2101. 11456 (2021)], we discuss the general problem of confirmation bias in experiments verifying various theoretical topological quantization predictions.
Quantization Mesoscale and Nanoscale Physics
no code implementations • 8 Dec 2020 • Haining Pan, Sankar Das Sarma
Using a realistic band structure for twisted WSe$_2 $ materials, we develop a theory for the interaction-driven correlated insulators to conducting metals transitions through the tuning of the filling factor around commensurate fractional fillings of the moir\'e unit cell in the 2D honeycomb lattice, focusing on the dominant half-filled Mott insulating state, which exists for both long- and short-range interactions.
Strongly Correlated Electrons
no code implementations • 24 Sep 2020 • Haining Pan, Jay D. Sau, S. Das Sarma
Therefore, we focus on the question of whether the combination of the local, nonlocal electrical and the thermal conductance can separate the good, bad, and ugly zero-bias conductance peaks in finite-length wires.
Mesoscale and Nanoscale Physics