Dimensionless Mapping: A Combinatorial Algorithm to Design Invisible Dopants
Mona Zebarjadi, Wenqing Shen

TL;DR
This paper introduces a dimensionless mapping algorithm to efficiently identify material combinations for electronic cloaking, enhancing thermoelectric performance without extensive calculations.
Contribution
The authors present a novel mapping method that simplifies the design of invisible dopants by avoiding complex transport simulations, enabling rapid identification of effective material combinations.
Findings
Identified material combinations enabling electronic cloaking.
Achieved up to 14.5-fold improvement in thermoelectric power factor.
Optimized dopant size and doping levels for maximum efficiency.
Abstract
Electronic cloaking has been recently suggested to design invisible dopants with electronic scattering cross sections smaller than 1% of the physical cross section ( . Cloaking layers could be designed to coat nanoparticle dopants to minimally scatter conduction electrons and to enhance the electronic mobility. In some cases, such enhancements would result in larger thermoelectric power factors. The main difficulty is the fact that the created potential upon coating is not tunable and is determined by the band alignment of the chosen materials for the core, the shell and the host as well as the charge distribution in these layers. To find proper combinations of materials, one needs to probe a large class of materials combinations and layer sizes. This approach is time-consuming and impractical. Here we introduce a mapping method to identify possible combinations by comparing the…
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Taxonomy
TopicsDNA and Biological Computing
