Search arXiv⌕ Search

arXiv · 2610.33457

First-Principles Investigation of the Structural, Electronic, Optical, Elastic, and Thermoelectric Properties of X2MoSeO6 (X = K, Rb, Cs)

Abstract

Understanding how alkali-metal substitution influences the coupled physical properties of molybdenum selenite oxides is essential for establishing their composition-structure-property relationships. Although the lighter members of the X2MoSeO6 family have been investigated, the heavier alkali-metal compounds remain comparatively unexplored, particularly regarding their integrated electronic, mechanical, optical, and thermoelectric responses. Here, a comprehensive first-principles investigation of X2MoSeO6 (X = K, Rb, and Cs) is presented using density functional theory and semi-classical Boltzmann transport calculations. The optimized structures exhibit progressive unit-cell expansion with increasing alkali-metal ionic size, while their indirect electronic bandgaps vary non-monotonically, reaching 2.646, 2.216, and 2.427 eV for K2MoSeO6, Rb2MoSeO6, and Cs2MoSeO6, respectively. All three structures satisfy the elastic stability criteria, with Hill-averaged bulk moduli increasing from 16.332 to 20.975 GPa across the series. K2MoSeO6 exhibits the strongest elastic anisotropy, whereas Rb2MoSeO6 possesses the highest static electronic dielectric constant (4.614) and maximum absorption coefficient (2.291*106 cm-1). Thermoelectric calculations reveal pronounced carrier-polarity-dependent behavior, with Rb2MoSeO6 attaining a positive Seebeck coefficient of 390.55e-6 V/K at 100 K and an electronic-only figure of merit (ZTe) of 7.286 at 300 K under the selected positive-Seebeck condition. By extending the investigation to the K-Rb-Cs series, this work establishes a comparative foundation for understanding and further exploring the functional characteristics of molybdenum selenite oxides.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sha Ajharul Islam Forhat, Md. Rakibul Hasan Rakib, Md. Al Noman Ruhin, Md Tashfiq Bin Kashem. 2026-10-24. First-Principles Investigation of the Structural, Electronic, Optical, Elastic, and Thermoelectric Properties of X2MoSeO6 (X = K, Rb, Cs). https://arxiv.org/abs/2610.33457

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Dissolution-induced mode transition of crack propagation in carbonate rocks: From brittle fracture to diffuse damage

In chemically reactive environments, the mechanical integrity of geomaterials is fundamentally compromised by solid matrix dissolution. In this study, we propose a fully coupled chemo-mechanical phase-field framework to capture the dynamic interplay between mineral dissolution and fracture propagation. A key feature of the proposed model is the dynamic coupling of local mass removal to the fracture length scale, while also incorporating the damage-accelerated reaction-diffusion processes. Our results capture the development of an enlarged fracture process zone driven by chemical mass removal. This chemically induced widening blunts the sharp crack tip, alleviating the near-tip stress concentrations and causing a pronounced degradation in material stiffness before failure. Furthermore, we reveal a distinct ductilization effect, characterized by a more gradual accumulation of damage and a delayed onset of macroscopic failure. We show that the transition between brittle and ductile failure modes is dictated by the competing timescales of chemical degradation and mechanical deformation. Highly acidic environments enhance matrix dissolution and promote ductile fracture, whereas rapid mechanical loading limits chemical interaction and preserves brittle failure mode.

cond-mat.mtrl-sci↗

Beyond Geometry: Hole-Edge Atomic Configuration as a Design Variable in Graphyne Kirigami

Kirigami-inspired cuts are an established route to stretchability in two-dimensional materials. At the nanoscale, however, cut edges are not purely geometric: they comprise discrete atomic configurations that can alter the mechanical response. In graphene, a given cut geometry fixes the edge structure; graphyne, a porous carbon allotrope with an intrinsic band gap, lifts this constraint, as identical cut geometries can yield distinct hole-edge configurations. Using molecular dynamics simulations, we report the first atomistic study of $γ$-graphyne kirigami (GYK), and compared with graphene kirigami. GYK reaches yield strains up to 9.6 times that of pristine $γ$-graphyne, with a response governed by both cut geometry and local hole-edge structure. Removing just two carbon atoms at selected edge sites further raises the yield strain by up to 35%, with little loss of yield stress. These findings identify hole-edge atomic configuration as an additional design parameter, expanding the design space for nanoscale kirigami engineering.

cond-mat.mtrl-sci↗

Learning Multiscale Dynamics of Nanoparticle Self-Assembly

Nanoparticle self-assembly offers a powerful route to programmable functional materials, but its dynamics remain difficult to understand because they arise from multiscale, many-body, and environment-dependent interactions. Liquid-phase transmission electron microscopy (LPTEM) enables real-time observation of these dynamics, yet extracting the underlying physical laws from highly stochastic trajectories remains a significant challenge. Here we develop a physics-informed, time-varying autoregressive framework that learns multiscale self-assembly dynamics directly from LPTEM videos. Continuous Eulerian fields with local density and orientational order are coarse-grained from individual video frames and evolved by a sparse, nearest-neighbor operator optimized over a constrained matrix manifold. This interpretable approach captures long-time large scale phase transitions by tracking operator volatility over time, and short-timescale local evolution and transport rules. Crucially, we extract the underlying partial differential equations, where expected symmetries naturally emerge, enabling the direct inference of fundamental coefficients. Our framework provides a robust, computationally efficient tool for discovering hidden physical mechanisms from observational data, opening a path toward the predictive design of self-assembled nanostructures.

cond-mat.mtrl-sci↗