Thermal Rectification in One-Dimensional Atomic Chains with Mass Asymmetry and Nonlinear Interactions
Understanding and controlling thermal rectification is pivotal for designing phononic devices that guide heat flow in a preferential direction. This study investigates one-dimensional atomic chains with binary mass asymmetry and nonlinear interatomic potentials, focusing on how energy propagates under thermal and wave excitation. Two potential models—the β-FPU and Morse potentials—were employed to examine the role of nonlinearity and bond softness in energy transport. Simulations reveal strong directional energy transport governed by the interplay of mass distribution, nonlinearity, and excitation type. In FPU chains, pronounced rectification occurs: under “cold-heavy” conditions, energy in the left segment increases from ~1% to over 63%, while reverse (“hot-heavy”) cases show less than 4% net transfer. For wave-driven excitation, the rectification coefficient reaches ~0.58 at 100:1. In contrast, Morse-based systems exhibit weaker rectification (∆E < 1%) and structural instabilities at high asymmetry due to bond breaking. A comprehensive summary and heatmap visualization highlight how system parameters govern rectification efficiency. These findings provide mechanistic insights into nonreciprocal energy transport in nonlinear lattices and offer design principles for nanoscale thermal management strategies based on controlled asymmetry and potential engineering.
Authors
- Г. Ф. Корзникова (ORCID: https://orcid.org/0000-0001-6646-7357)
- Arseny M. Kazakov (ORCID: https://orcid.org/0000-0002-8278-8705)
- Elena Aleksandrovna Korznikova (ORCID: https://orcid.org/0000-0002-5975-4849)
- Elvir Z. Karimov
Institutions
- Skolkovo Institute of Science and Technology (RU)
- North-Eastern Federal University (RU)
- Institute of Metal Superplasticity Problems (RU)
- Moscow Technical University of Communication and Informatics (RU)
- Institute of Problems of Mechanical Engineering (RU)
- All-Russian Research and Design Institute of Hard Alloys and Refractory Metals (RU)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Computation
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3390/computation13100243
- Primary Topic
- Gas Dynamics and Kinetic Theory
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Russian Science Foundation