By linking a quantifiable Raman disorder metric to a boost in thermoelectric performance, the study shows that engineered disorder can be exploited rather than avoided, opening a new pathway for optimizing low‑dimensional energy‑conversion materials.
Anderson localization, first theorized by Philip Anderson in 1958, describes the complete halt of electron diffusion when disorder in a lattice reaches a critical level. While the phenomenon is well documented in bulk three‑dimensional systems, observing it in atomically thin materials has remained elusive because controlling disorder with nanometer precision is difficult. Graphene, with its mass‑less Dirac fermions and exceptional crystalline quality, offers a unique platform: its intrinsic symmetries suppress back‑scattering, making it resistant to localization unless short‑range defects break valley symmetry. This dual nature makes graphene an ideal testbed for probing quantum interference effects in two dimensions.
The Clemson‑College of Charleston team introduced vacancies via argon‑ion irradiation, systematically varying defect density and monitoring the interdefect distance L_D through Raman spectroscopy. When L_D approached 20 nm (I_D/I_G ≈ 0.4), multiple probes—ultrafast pump‑probe reflectivity, resistivity, and Seebeck measurements—converged on a dramatic shift: electron relaxation times peaked, resistivity switched from metallic to insulating, and the Seebeck coefficient surged. Tight‑binding simulations confirmed that the Ioffe‑Regel condition (k_F ℓ ≈ 1) was satisfied, indicating that quantum interference overtook semiclassical transport and electrons became spatially confined in localized pockets.
Beyond its fundamental significance, the discovery reshapes how engineers view disorder in low‑dimensional thermoelectrics. By tuning defect spacing to sit just above the localization threshold, the transport distribution narrows, acting as an energy filter that amplifies thermopower without proportionally increasing resistance—a principle first outlined by Mahan and Sofo. Although graphene’s high thermal conductivity limits its absolute zT, the methodology demonstrated here can be transferred to other 2D semiconductors, oxides, or layered chalcogenides where thermal conductivity is lower. Harnessing controlled disorder thus emerges as a viable strategy to boost energy‑conversion efficiency in next‑generation nano‑electronics and waste‑heat recovery technologies.
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