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Kamil M. Ciesielski

Publications and source records attributed to Kamil M. Ciesielski.

3 recordsLinked to original sources

Continuous alloying between rocksalt and half-Heusler structures drives metal-semiconductor transition in ErNi$_x$Sb

XYZ half-Heusler phases are often described as a XZ rock salt sublattice with an interstitial Y atom. However, transport across a solid solution between rock salt and half-Heusler structures has not previously been studied. In this paper, we demonstrate the exceptional tolerance of Ni vacancies in ErNi$_x$Sb, resulting in a complete alloy in the ErSb-ErNiSb space. Thermoelectric characterization demonstrates a continuous electronic transition associated with the gradual collapse of the band gap with Ni removal. The carrier concentration increase by three orders of magnitude and Seebeck coefficient decreases from 260 uV/K to <5 uV/K. Speed of sound measurements indicate that removal of Ni softens the lattice, consistent with the breakdown of the covalent Ni-Sb sublattice. For low Ni content compositions, the combination of low speed of sound coupled with Ni vacancies strongly hamper the propagation of phonons. The ability to control the electronic and thermal transport properties across the rock salt to half-Heusler continuum opens new material design strategies across thermoelectricity, superconductivity, and non-trivial topology

cond-mat.mtrl-sci↗

Leveraging Language Representation for Material Recommendation, Ranking, and Exploration

Data-driven approaches for material discovery and design have been accelerated by emerging efforts in machine learning. However, general representations of crystals to explore the vast material search space remain limited. We introduce a material discovery framework that uses natural language embeddings derived from language models as representations of compositional and structural features. The discovery framework consists of a joint scheme that first recalls relevant candidates, and next ranks the candidates based on multiple target properties. The contextual knowledge encoded in language representations conveys information about material properties and structures, enabling both representational similarity analysis for recall, and multi-task learning to share information across related properties. By applying the framework to thermoelectrics, we demonstrate diversified recommendations of prototype structures and identify under-studied high-performance material spaces. The recommended materials are corroborated by first-principles calculations and experiments, revealing novel materials with potential high performance. Our framework provides a task-agnostic means for effective material recommendation and can be applied to various material systems.

cond-mat.mtrl-sci↗

Origin of ultra-low thermal conductivity in unconventional clathrates: Strong scattering from extremely low-frequency rattling modes

Recent discoveries of materials with ultra-low thermal conductivity open a pathway to significant developments in the field of thermoelectricity. Here, we conduct a comparative study of three chemically similar antimonides to establish the root causes of their extraordinarily low thermal conductivity ($0.4-0.6$ Wm$^{-1}$K$^{-1}$ at 525 K). The materials of interest are: the unconventional type-XI clathrate K$_{58}$Zn$_{122}$Sb$_{207}$, the tunnel compound K$_{6.9}$Zn$_{21}$Sb$_{16}$, and the type-I clathrate K$_8$Zn$_{15.5}$Cu$_{2.5}$Sb$_{28}$ discovered herein. Calculations of the phonon dispersions show that the type-XI compound exhibits localized (i.e., rattling) phonon modes with unusually low frequencies that span the entire acoustic regime. In contrast, rattling in the type-I clathrate is observed only at higher frequencies, and no rattling modes are present in the tunnel structure. Modeling reveals that low-frequency rattling modes profoundly limit the acoustic scattering time; the scattering time of the type-XI clathrate is half that of the type-I clathrate and a quarter of the tunnel compound. For all three materials, the thermal conductivities are additionally suppressed by soft framework bonding that lowers the acoustic group velocities, and structural complexity that leads to diffusonic character of the optical modes. Understanding details of thermal transport in structurally complex materials will be crucial for developing the next generation of thermoelectrics.

cond-mat.mtrl-sci↗