{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T06:48:33Z","timestamp":1768978113061,"version":"3.49.0"},"reference-count":62,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017485","name":"University of Hafr Al Batin","doi-asserted-by":"publisher","award":["0197-1446-S"],"award-info":[{"award-number":["0197-1446-S"]}],"id":[{"id":"10.13039\/100017485","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>\n                    Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based materials are ternary chalcogenides thermoelectric compounds with unique sphalerite super-lattice structures and adjustable characteristics which stand them out as promising material for attaining efficient thermal and electrical energy conversion. The crystal structure of Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based materials consists of Cu-Se three dimensional frameworks with inserted CuSe\n                    <jats:sub>4<\/jats:sub>\n                    tetrahedra layer. This energy band structure and crystal arrangement in Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based materials lead to large seebeck coefficient, low thermal conductivity and large carrier mobility with restricted number of available carriers which hinders the potential of these materials as thermoelectric compound due to low value of thermoelectric performance. Experimental methods of thermoelectric performance (using figure of merit as a measure of energy conversion efficiency) enhancement are laborious, costly and consume appreciable resources which necessitate the need of computational methods for figure of merit prediction. In this contribution, figure of merit of Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based materials has been modeled through random forest regression (decision trees) and genetic algorithm incorporated support vector regression (structural risk error minimization-based) model using temperature, dopants ionic radii and their respective concentrations as predictors. Genetically optimized support vector regression (GESVR) model outperforms random forest regression (RFR)-based model with improvement of 188.04%, 30.18% and 42.36% using correlation coefficient, mean absolute error and root mean square error, respectively for testing samples of Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based compounds. Influence of inclusions on energy conversion efficiency of Cu\n                    <jats:sub>3<\/jats:sub>\n                    Sb\n                    <jats:sub>1-x<\/jats:sub>\n                    Sn\n                    <jats:sub>x<\/jats:sub>\n                    Se\n                    <jats:sub>4<\/jats:sub>\n                    and Cu\n                    <jats:sub>3<\/jats:sub>\n                    Sb\n                    <jats:sub>1-x<\/jats:sub>\n                    Fe\n                    <jats:sub>x<\/jats:sub>\n                    Se\n                    <jats:sub>2.8<\/jats:sub>\n                    S\n                    <jats:sub>1.2<\/jats:sub>\n                    compounds was investigated using GESVR- based model. The simplicity of descriptors coupled with the demonstrated precision would facilitate the exploration of Cu\n                    <jats:sub>3<\/jats:sub>\n                    SbSe\n                    <jats:sub>4<\/jats:sub>\n                    -based materials for green applications and ultimately address the current global energy crisis.\n                  <\/jats:p>","DOI":"10.1371\/journal.pone.0339521","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T18:21:58Z","timestamp":1768933318000},"page":"e0339521","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling thermoelectric performance of p-type Cu3SbSe4-based chalcogenide materials using decision trees and structural risk error minimization intelligent computational 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Interfaces"},{"issue":"11","key":"pone.0339521.ref003","doi-asserted-by":"crossref","first-page":"3896","DOI":"10.1016\/j.jma.2023.08.009","article-title":"Magnesium-based energy materials: Progress, challenges, and perspectives","volume":"11","author":"G Han","year":"2023","journal-title":"J Magnes Alloy"},{"key":"pone.0339521.ref004","doi-asserted-by":"crossref","first-page":"123206","DOI":"10.1016\/j.renene.2025.123206","article-title":"Design and single\/multi-objective optimization of N-type Skutterudite\/P-type half-Heusler-based thermoelectric modules based on an improved thermal resistance model","volume":"250","author":"X Zhu","year":"2025","journal-title":"Renew Energy"},{"key":"pone.0339521.ref005","doi-asserted-by":"crossref","first-page":"120027","DOI":"10.1016\/j.enconman.2025.120027","article-title":"Parameter interaction analysis and comprehensive performance optimization of a thermoelectric generator system integrating a wide temperature range of thermoelectric modules","volume":"342","author":"X Zhu","year":"2025","journal-title":"Energy Convers Manag"},{"key":"pone.0339521.ref006","article-title":"High-Performance Mg 3 Sb 2- x Bi x thermoelectrics: progress and perspective","volume":"2020","author":"A Li","year":"2020","journal-title":"Research"},{"key":"pone.0339521.ref007","doi-asserted-by":"crossref","first-page":"117669","DOI":"10.1016\/j.actamat.2022.117669","article-title":"Magnetic properties and giant cryogenic magnetocaloric effect in B-site ordered antiferromagnetic Gd2MgTiO6 double perovskite oxide","volume":"226","author":"Y Zhang","year":"2022","journal-title":"Acta Materialia"},{"key":"pone.0339521.ref008","article-title":"Enhanced thermoelectric properties in Bi and Te doped p -type Cu3SbSe4 compound","volume":"1942","author":"A Kumar","year":"2018","journal-title":"AIP Conf Proc"},{"issue":"40","key":"pone.0339521.ref009","doi-asserted-by":"crossref","first-page":"31399","DOI":"10.1039\/C5RA02030A","article-title":"Transport 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thermoelectric properties in Pb-doped BiCuSeO oxyselenides prepared by ultrafast synthesis","volume":"5","author":"G-K Ren","year":"2015","journal-title":"RSC Adv"},{"issue":"08","key":"pone.0339521.ref013","first-page":"543","article-title":"Co-precipitation synthesis and characterization of nanocrystalline zinc oxide particles doped with Cu2 ions","volume":"03","author":"M Mukhtar","year":"2012","journal-title":"Mater Sci Appl"},{"key":"pone.0339521.ref014","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jmst.2023.05.068","article-title":"Enhancing thermoelectric performance in P-type Mg 3 Sb 2 -based Zintls through optimization of band gap structure and nanostructuring","volume":"170","author":"Y Zhang","year":"2024","journal-title":"J Mater Sci Technol"},{"key":"pone.0339521.ref015","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.ssc.2017.11.007","article-title":"Correlation between structural and transport properties of electron beam irradiated PrMnO3 compounds","volume":"270","author":"B Christopher","year":"2018","journal-title":"Solid State Commun"},{"key":"pone.0339521.ref016","article-title":"Doping for higher thermoelectric properties in p-type BiCuSeO oxyselenide","author":"J Lan","year":"2013","journal-title":"Appl Phys Lett"},{"issue":"3","key":"pone.0339521.ref017","doi-asserted-by":"crossref","first-page":"145","DOI":"10.47852\/bonviewJOPR42021706","article-title":"Nonlinear responses and optical limitation of copper nanoparticles by Z-scan method","volume":"1","author":"M Eslamifar","year":"2024","journal-title":"J Opt Photon Res"},{"key":"pone.0339521.ref018","doi-asserted-by":"crossref","first-page":"16","DOI":"10.47852\/bonviewJOPR42022177","article-title":"Modified chalcogenide glass equations for the activation energy of crystallization","volume":"1","author":"RA Loretz","year":"2024","journal-title":"J Opt Photonics Res"},{"key":"pone.0339521.ref019","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.intermet.2019.03.009","article-title":"Realized high power factor and thermoelectric performance in Cu 3 SbSe 4","volume":"109","author":"JM Li","year":"2019","journal-title":"Intermetallics"},{"issue":"17","key":"pone.0339521.ref020","doi-asserted-by":"crossref","first-page":"4345","DOI":"10.3390\/ma17174345","article-title":"Thermoelectric performance of non-stoichiometric permingeatite Cu3+mSbSe4","volume":"17","author":"D Kim","year":"2024","journal-title":"Materials (Basel)"},{"key":"pone.0339521.ref021","first-page":"1","article-title":"Charge transfer engineering to achieve extraordinary power generation in GeTe-based thermoelectric materials","author":"C Liu","year":"2023","journal-title":"Sci Adv"},{"key":"pone.0339521.ref022","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.materresbull.2019.01.010","article-title":"Tin doped Cu 3 SbSe 4: A stable thermoelectric analogue for the mid- temperature applications","volume":"113","author":"R Bhardwaj","year":"2019","journal-title":"Mater Res Bull"},{"key":"pone.0339521.ref023","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.nanoen.2018.04.035","article-title":"Self-assembled 3D flower-like hierarchical Ti-doped Cu 3 SbSe 4 microspheres with ultralow thermal conductivity and high zT","volume":"49","author":"T Zhou","year":"2018","journal-title":"Nano Energy"},{"key":"pone.0339521.ref024","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.matlet.2016.10.011","article-title":"Enhanced thermoelectric properties of Cu3SbSe4 by germanium doping","volume":"186","author":"C Chang","year":"2017","journal-title":"Mater Lett"},{"key":"pone.0339521.ref025","doi-asserted-by":"crossref","first-page":"126669","DOI":"10.1016\/j.matchemphys.2022.126669","article-title":"Enhancing thermoelectric and mechanical properties of p-type Cu3SbSe4 -based materials via embedding nanoscale Sb2Se3","volume":"292","author":"L Zhao","year":"2022","journal-title":"Mater Chem Phys"},{"issue":"30","key":"pone.0339521.ref026","doi-asserted-by":"crossref","first-page":"14546","DOI":"10.1039\/C8NR03550D","article-title":"High thermoelectric performance of Cu3SbSe4 nanocrystals with Cu2-xSe in situ inclusions synthesized by a microwave-assisted solvothermal method","volume":"10","author":"D Xie","year":"2018","journal-title":"Nanoscale"},{"issue":"29","key":"pone.0339521.ref027","doi-asserted-by":"crossref","first-page":"17648","DOI":"10.1039\/C9TA05115E","article-title":"Significant average ZT enhancement in Cu3SbSe4-based thermoelectric material via softening p\u2013d hybridization","volume":"7","author":"D Zhang","year":"2019","journal-title":"J Mater Chem A"},{"key":"pone.0339521.ref028","doi-asserted-by":"crossref","first-page":"100473","DOI":"10.1016\/j.uclim.2019.100473","article-title":"Urban climate forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: case study in Aburr\u00e1 Valley, Colombia","volume":"29","author":"J Murillo-escobar","year":"2019","journal-title":"Urban Clim"},{"key":"pone.0339521.ref029","doi-asserted-by":"crossref","first-page":"106688","DOI":"10.1016\/j.mtcomm.2023.106688","article-title":"Modeling magnetocaloric effect of doped EuTiO3 perovskite for cooling technology using swarm intelligent based support vector regression computational method","volume":"36","author":"TO Owolabi","year":"2023","journal-title":"Mater Today Commun"},{"issue":"1","key":"pone.0339521.ref030","first-page":"1","article-title":"Modeling of magnetic cooling power of manganite-based materials using computational intelligence approach","volume":"30","author":"TO Owolabi","year":"2018","journal-title":"Neural Comput Appl"},{"key":"pone.0339521.ref031","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1016\/j.asoc.2015.02.026","article-title":"System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection","volume":"30","author":"W Zhao","year":"2015","journal-title":"Appl Soft Comput J"},{"key":"pone.0339521.ref032","doi-asserted-by":"crossref","first-page":"106948","DOI":"10.1016\/j.ress.2020.106948","article-title":"Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures","volume":"200","author":"A Roy","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"pone.0339521.ref033","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1109\/CVPR.1997.609310","article-title":"Training support vector machines: an application to face detection.","volume-title":"Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"E Osuna","year":"1997"},{"key":"pone.0339521.ref034","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.commatsci.2015.01.020","article-title":"Development and validation of surface energies estimator (SEE) using computational intelligence technique","volume":"101","author":"TO Owolabi","year":"2015","journal-title":"Comput Mater Sci"},{"issue":"36","key":"pone.0339521.ref035","first-page":"1","article-title":"Tailoring the energy harvesting capacity of zinc selenide semiconductor nanomaterial through optical band gap","volume":"12","author":"O Olubosede","year":"2022","journal-title":"Crystals"},{"issue":"12","key":"pone.0339521.ref036","doi-asserted-by":"crossref","first-page":"2384","DOI":"10.1039\/C5JA00255A","article-title":"Quantitative analysis of sedimentary rocks using laser-induced breakdown spectroscopy: comparison of support vector regression and partial least squares regression chemometric methods","volume":"30","author":"Q Shi","year":"2015","journal-title":"J Anal At Spectrom"},{"issue":"9","key":"pone.0339521.ref037","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1109\/TNN.2011.2162110","article-title":"Comprehensive review of neural network-based prediction intervals and new advances","volume":"22","author":"A Khosravi","year":"2011","journal-title":"IEEE Trans Neural Netw"},{"key":"pone.0339521.ref038","first-page":"1","article-title":"Susceptibility prediction of groundwater hardness using ensemble machine learning models","volume":"12","author":"BC Mosavi","year":"2020","journal-title":"Water"},{"issue":"3","key":"pone.0339521.ref039","doi-asserted-by":"crossref","first-page":"95","DOI":"10.18280\/mmc_a.910301","article-title":"Modeling of semiconductors refractive indices using hybrid chemometric model","volume":"91","author":"L Oloore","year":"2018","journal-title":"Model Meas Control A"},{"key":"pone.0339521.ref040","doi-asserted-by":"crossref","first-page":"1280","DOI":"10.1016\/j.microrel.2015.06.133","article-title":"Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO\u2013SVR model","volume":"55","author":"T Qin","year":"2015","journal-title":"Microelectron Reliab"},{"key":"pone.0339521.ref041","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.psep.2018.08.031","article-title":"Modeling of autoignition temperature of organic energetic compounds using hybrid intelligent method","volume":"120","author":"MA Suleiman","year":"2018","journal-title":"Process Saf Environ Prot"},{"key":"pone.0339521.ref042","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.fluid.2015.05.037","article-title":"An improved support vector regression model for estimation of saturation pressure of crude oils","volume":"402","author":"HR Ansari","year":"2015","journal-title":"Fluid Phase Equilibria"},{"key":"pone.0339521.ref043","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0304-3975(00)00406-0","article-title":"Theory of genetic algorithms","volume":"259","author":"LM Schmitt","year":"2001","journal-title":"Theor Comput Sci"},{"key":"pone.0339521.ref044","doi-asserted-by":"crossref","unstructured":"Owolabi TO, Amiruddin M, Rahman A. Prediction of band gap energy of doped graphitic carbon nitride using genetic algorithm-based support vector regression and extreme learning machine. 2021:1\u201317.","DOI":"10.3390\/sym13030411"},{"key":"pone.0339521.ref045","doi-asserted-by":"crossref","first-page":"107640","DOI":"10.1016\/j.compeleceng.2021.107640","article-title":"Towards the realization of regular clocking-based QCA circuits using genetic algorithm \u2729","volume":"97","author":"A Kumar","year":"2022","journal-title":"Comput Electr Eng"},{"key":"pone.0339521.ref046","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/j.iref.2024.04.004","article-title":"Exploring the drivers of local government budget coordination: a random forest regression analysis","volume":"93","author":"Y He","year":"2024","journal-title":"Int Rev Econ Financ"},{"issue":"12","key":"pone.0339521.ref047","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1039\/C4JA00217B","article-title":"A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)","volume":"29","author":"T Zhang","year":"2014","journal-title":"J Anal At Spectrom"},{"key":"pone.0339521.ref048","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1016\/j.jclepro.2018.08.207","article-title":"Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees","volume":"203","author":"MW Ahmad","year":"2018","journal-title":"J Clean Prod"},{"key":"pone.0339521.ref049","doi-asserted-by":"crossref","first-page":"159659","DOI":"10.1016\/j.jallcom.2021.159659","article-title":"Tuning Ag content to achieve high thermoelectric properties of Bi-doped p-type Cu3SbSe4-based materials","volume":"872","author":"L Zhao","year":"2021","journal-title":"J Alloys Compd"},{"key":"pone.0339521.ref050","doi-asserted-by":"crossref","first-page":"104658","DOI":"10.1016\/j.nanoen.2020.104658","article-title":"Synergistic modulation of power factor and thermal conductivity in Cu 3 SbSe 4 towards high thermoelectric performance","volume":"71","author":"B Wang","year":"2020","journal-title":"Nano Energy"},{"key":"pone.0339521.ref051","doi-asserted-by":"crossref","first-page":"100620","DOI":"10.1016\/j.mtener.2020.100620","article-title":"Realizing ultralow thermal conductivity in Cu3SbSe4 via all-scale phonon scattering by co-constructing multiscale heterostructure and IIIB element doping","volume":"19","author":"B Wang","year":"2021","journal-title":"Mater Today Energy"},{"key":"pone.0339521.ref052","article-title":"Enhanced figure of merit for famatinite Cu 3 SbSe 4 via band structure tuning and hierarchical architecture","volume":"9","author":"L Zhao","year":"2023","journal-title":"J Mater"},{"key":"pone.0339521.ref053","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.matdes.2016.03.001","article-title":"Improvement of thermoelectric properties of Cu 3 SbSe 4 compound by In doping","volume":"98","author":"D Zhang","year":"2016","journal-title":"Mater Des"},{"key":"pone.0339521.ref054","article-title":"Enhancing the thermoelectric and mechanical properties of Cu 3 SbSe 4 -based materials by defect engineering and covalent bonds reinforcement","volume":"997","author":"S Wei","year":"2024","journal-title":"J Alloys Compd"},{"key":"pone.0339521.ref055","article-title":"Enhancing the effective mass and covalent bond strength of Cu 3 SbSe 4 -based thermoelectric materials by Mn\/ Sn co-doping","volume":"38","author":"S Wei","year":"2023","journal-title":"Mater Today Phys"},{"key":"pone.0339521.ref056","doi-asserted-by":"crossref","first-page":"111197","DOI":"10.1016\/j.jpcs.2022.111197","article-title":"Enhancement of low-temperature thermoelectric performance via Pb doping in Cu 3 SbSe 4","volume":"175","author":"A Pal","year":"2023","journal-title":"J Phys Chem Solids"},{"key":"pone.0339521.ref057","article-title":"Enhanced thermoelectric properties of Cu 3 SbSe 4 -based materials by synergistic modulation of carrier concentration and phonon scattering","volume":"10","author":"S Wei","year":"2024","journal-title":"J Mater"},{"key":"pone.0339521.ref058","first-page":"1","article-title":"Effect of Cu deficiency on the transport behavior and thermoelectric properties in Cu3SbSe4","volume":"1832","author":"A Kumar","year":"2017","journal-title":"AIP Conf Proc"},{"key":"pone.0339521.ref059","first-page":"8","article-title":"Enhanced electrical transport and thermoelectric properties in Ni doped Cu3SbSe4","author":"A You","year":"2020","journal-title":"AIP Conf Proc"},{"issue":"4","key":"pone.0339521.ref060","doi-asserted-by":"crossref","first-page":"1888","DOI":"10.1039\/C3DT52447G","article-title":"Co-precipitation synthesis of 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