Quasiclassical electron transport in topological Weyl semimetals
Azaz Ahmad

TL;DR
This paper investigates electron transport phenomena in Weyl semimetals, revealing how nonlinear dispersion, strain, and scattering influence the chiral anomaly effects such as negative magnetoconductance and nonlinear Hall responses.
Contribution
It introduces a comprehensive analysis of how real material features like dispersion nonlinearity and strain affect chiral anomaly signatures in Weyl semimetals, extending understanding to nonlinear transport regimes.
Findings
Nonlinear dispersion causes negative longitudinal magnetoconductance without intervalley scattering.
Strain acts as an axial magnetic field, inducing strong sign-reversal in magnetoconductance.
Nonlinear Hall effect exhibits nonmonotonic behavior and sign-reversal influenced by scattering.
Abstract
Weyl fermions are powerful yet simple entities that connect geometry, topology, and physics. While their existence as fundamental particles is still uncertain, growing evidence shows they emerge as quasiparticles in special materials called Weyl semimetals (WSMs). These materials possess unique electronic properties and hold promise for future technologies. This thesis investigates how electrons behave in WSMs, focusing on the chiral anomaly (CA). The CA remains central in condensed matter physics, typically observed via longitudinal magnetoconductance (LMC) and the planar Hall effect (PHE). Although finite intervalley scattering can reverse the LMC sign, we identify another mechanism: a smooth cutoff in the linear dispersion, inherent to real Weyl materials, introduces nonlinearity that causes negative LMC even without intervalley scattering. Using a lattice model of tilted Weyl…
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.
Taxonomy
TopicsTopological Materials and Phenomena · Graphene research and applications · Advanced Memory and Neural Computing
