Ab initio framework for systems with helical symmetry: theory, numerical implementation and applications to torsional deformations in nanostructures
Amartya S. Banerjee

TL;DR
This paper introduces Helical DFT, a first-principles simulation method for nanostructures with helical symmetry, enabling detailed analysis of their electronic properties and mechanical responses, including torsional deformations.
Contribution
The paper develops a rigorous ab initio framework for helical nanostructures, including mathematical formulation, numerical implementation, and application to nanotubes, which was not previously available.
Findings
Accurate modeling of helical nanostructures using Helical DFT.
Observation of an insulator-to-metal transition under twisting.
Evaluation of torsional stiffness in zigzag nanotubes.
Abstract
We formulate and implement Helical DFT -- a self-consistent first principles simulation method for nanostructures with helical symmetries. Such materials are well represented in all of nanotechnology, chemistry and biology, and are expected to be associated with unprecedented material properties. We rigorously demonstrate the existence and completeness of special solutions to the single electron problem for helical nanostructures, called helical Bloch waves. We describe how the Kohn-Sham Density Functional Theory equations for a helical nanostructure can be reduced to a fundamental domain with the aid of these solutions. A key component in our mathematical treatment is the definition and use of a helical Bloch-Floquet transform to perform a block-diagonalization of the Hamiltonian in the sense of direct integrals. We develop a symmetry-adapted finite-difference strategy in helical…
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.
