English
Related papers

Related papers: Unlocking Thermoelectric Potential: A Machine Lear…

200 papers

In this work we calculate the thermoelectric figure of merit of XHfPb (X= Ni, Pd, and Pt) by computing the both the power factor and the lattice thermal conductivity by first principles. We make reasonable approximations: we use the…

Materials Science · Physics 2023-01-11 Paul O. Adebambo , Gboyega A. Adebayo , Roberto Guerra , Davide Ceresoli

Novel intrinsic two-dimensional materials have attracted many researchers' attention. The unusual transport and optical properties of these materials originate mainly from triangular lattices (TLs). Therefore, the application of energy…

Mesoscale and Nanoscale Physics · Physics 2020-09-25 David M T Kuo

We explore the thermoelectric transport properties of a coexistence topological semimetal, characterized by the presence of both a pair of Weyl points and a nodal ring in the quantum limit. This system gives rise to complex Landau bands…

Mesoscale and Nanoscale Physics · Physics 2024-03-12 L. W. Guo , C. M. Wang

Machine learning (ML) is increasingly becoming a helpful tool in the search for novel functional compounds. Here we use classification via random forests to predict the stability of half-Heusler (HH) compounds, using only experimentally…

Materials Science · Physics 2017-06-02 Fleur Legrain , Jesús Carrete , Ambroise van Roekeghem , Georg K. H. Madsen , Natalio Mingo

Half-Heusler phases (space group F43m, C1b) have recently captured much attention as promising thermoelectric materials for heat-to-electric power conversion in the mid-to-high temperature range. The most studied ones are the RNiSn-type…

Materials Science · Physics 2018-12-06 S. Joseph Poon

In contemporary economic society, credit scores are crucial for every participant. A robust credit evaluation system is essential for the profitability of core businesses such as credit cards, loans, and investments for commercial banks and…

Machine Learning · Computer Science 2024-11-13 Qianwen Xing , Chang Yu , Sining Huang , Qi Zheng , Xingyu Mu , Mengying Sun

Harnessing the quantum coherence and tunability of molecular-scale structures, we theoretically explore thermoelectric transport in ring-shaped molecular junctions featuring dimerized hopping integrals. By engineering alternating strong and…

Other Condensed Matter · Physics 2025-12-17 Ranjini Bhattacharya , Souvik Roy

Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step processing routes, and characterization methodology variations. A…

Materials Science · Physics 2020-10-12 Sen Liu , Branden B. Kappes , Behnam Amin-ahmadi , Othmane Benafan , Xiaoli Zhang , Aaron P. Stebner

Band convergence is an effective strategy to improve the thermoelectric performance of complex bandstructure thermoelectric materials. Half-Heuslers are good candidates for band convergence studies because they have multiple bands near the…

Materials Science · Physics 2020-11-10 Chathurangi Kumarasinghe , Neophytos Neophytou

The quest for efficient devices has fueled research in thermoelectric materials. In these materials, the goal is to maximize the Figure of Merit $ZT$. One of the components of this quantity is the Seebeck coefficient, which measures the…

In order to improve the thermoelectric performance of TiCoSb we have substituted 50% of Ti equally with Zr and Hf at Ti site and Sb with Sn and Se equally at Sb site. The electronic structure of Ti0.5Zr0.25Hf0.25CoSn0.5Se0.5 is investigated…

Materials Science · Physics 2018-05-09 Mukesh K. Choudhary , P Ravindran

Biomass-derived hard carbon has become the most promising anode material for sodium-ion batteries (SIBs) due to its high capacity and excellent cycling stability. However, the effects of synthesis parameters and structural features on hard…

Chemical Physics · Physics 2025-10-16 Gang Chen , Zihan Yang , Peng Sun , Chenglong Wang , Jinliang Li , Guang Yang , Likun Pan

We use first-principles electronic structure methods to calculate the electronic thermoelectric properties (i.e. due to electronic transport only) of single-crystalline bulk $n$-type silicon-germanium alloys vs Ge composition, temperature,…

Materials Science · Physics 2025-02-03 F. Murphy-Armando

In computational materials science, a common means for predicting macroscopic (e.g., mechanical) properties of an alloy is to define a model using combinations of descriptors that depend on some material properties (elastic constants,…

Materials Science · Physics 2022-10-17 Ivan Novikov , Olga Kovalyova , Alexander Shapeev , Max Hodapp

The transition to a low-carbon economy demands efficient and sustainable energy-storage solutions, with hydrogen emerging as a promising clean-energy carrier and with metal hydrides recognized for their hydrogen-storage capacity. Here, we…

Thermoelectric devices that utilize the Seebeck effect convert heat flow into electrical energy and are highly desirable for the development of portable, solid state, passively-powered electronic systems. The conversion efficiencies of such…

Materials Science · Physics 2015-01-06 Ruixiang Fei , Alireza Faghaninia , Ryan Soklaski , Jia-An Yan , Cynthia Lo , Li Yang

Thorough characterization of the thermo-mechanical properties of materials requires difficult and time-consuming experiments. This severely limits the availability of data and it is one of the main obstacles for the development of effective…

The factors that affect the thermal conductivity of semiconductors is a topic of great scientific interest, especially in relation to thermoelectrics. Key developments have been the concept of the phonon-glass-electron-crystal (PGEC) and…

Materials Science · Physics 2020-02-05 Zhenzhen Feng , Yuhao Fu , Yongsheng Zhang , David J. Singh

Half-Heusler compounds usually exhibit relatively higher lattice thermal conductivity that is undesirable for thermoelectric applications. Here we demonstrate by first-principles calculations and Boltzmann transport theory that the BiBaK…

Materials Science · Physics 2020-08-26 S. H. Han , Z. Z. Zhou , C. Y. Sheng , J. H. Liu , L. Wang , H. M. Yuan , H. J. Liu

Atomistic simulations provide insights into structure-property relations on an atomic size and length scale, that are complementary to the macroscopic observables that can be obtained from experiments. Quantitative predictions, however, are…

Materials Science · Physics 2021-04-14 Nataliya Lopanitsyna , Chiheb Ben Mahmoud , Michele Ceriotti