Eskebornite (CuFeSe) is a I-III-VI semiconductor with a tetragonal crystal structure, known for its intriguing electrical and magnetic properties. However, experimental studies on this material remain scarce. In this study, Ni-doped eskebornite, CuNiFeSe (x = 0.02-0.06), was synthesized via solid-state methods by substituting Ni for Cu. Mechanical alloying was employed to prepare the compounds, followed by hot pressing. X-ray diffraction analysis revealed the eskebornite phase alongside a minor secondary phase, identified as penroseite (NiSe) with a cubic crystal structure. Thermoelectric properties were measured over the temperature range of 323-623 K. The Seebeck coefficient exhibited p-type behavior at low temperatures but transitioned to n-type at higher temperatures, indicating a temperature-dependent p-n transition due to changes in the dominant charge carriers. With increasing Ni doping, the Seebeck coefficient increased positively at low temperatures and negatively at high temperatures, with the p-n transition temperature shifting to lower values. Electrical conductivity decreased with higher Ni doping levels, while its positive temperature dependence became more pronounced, reflecting non-degenerate semiconductor behavior. Thermal conductivity showed a negative temperature dependence but increased with higher Ni content. The highest thermoelectric performance was observed for CuNiFeSe, achieving ZT = 0.30 × 10 at 523 K, and for CuNiFeSe, achieving ZT = 0.55 × 10 at 623 K, where ZT and ZT represent the dimensionless figure of merit for p-type and n-type thermoelectric materials, respectively.
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http://dx.doi.org/10.3390/ma18051129 | DOI Listing |
Materials (Basel)
March 2025
Department of Materials Science and Engineering, College of Engineering, Korea National University of Transportation, Chungju 27469, Republic of Korea.
Eskebornite (CuFeSe) is a I-III-VI semiconductor with a tetragonal crystal structure, known for its intriguing electrical and magnetic properties. However, experimental studies on this material remain scarce. In this study, Ni-doped eskebornite, CuNiFeSe (x = 0.
View Article and Find Full Text PDFMolecules
February 2025
Department of Physics, University of Puerto Rico, San Juan, PR 00936, USA.
This study presents the fabrication and characterization of ZnO-MoS heterostructure-based ultra-broadband photodetectors capable of operating across the ultraviolet (UV) to mid-infrared (MIR) spectral range (365 nm-10 μm). The p-n heterojunction was synthesized via RF magnetron sputtering and spin coating, followed by annealing. Structural and optical analyses confirmed their enhanced light absorption, efficient charge separation, and strong built-in electric field.
View Article and Find Full Text PDFNano Lett
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State Key Lab for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics, School of Physics, Peking University, Beijing 100871, China.
A programmable 2H-MoTe floating-gate field-effect transistor (FGFET)-based complementary metal oxide semiconductor (CMOS) array has been fabricated on the grown substrate. Coplanar grown metallic 1T'-MoTe serves as the source and drain electrodes. The conductive type of the 2H-MoTe channel is manipulated by a top-gate engineering method.
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Department of Materials Science and Engineering, Inha University, Incheon 22212, Republic of Korea.
Gas sensing materials based on transition metal perovskite oxides (TMPOs) have garnered extensive attention across various fields such as air quality control, environmental monitoring, healthcare, and national defense security. To overcome challenges encountered in traditional research, a deep learning framework combining natural language processing technology (Word2Vec) and crystal graph convolutional neural network (CGCNN) was adopted in this study, proposing a predictive method that incorporates a comprehensive data set consisting of 1.2 million literature abstracts and 110,000 crystal structure data entries.
View Article and Find Full Text PDFInt J Mol Sci
February 2025
Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa.
Kidney function parameters including estimated glomerular filtration rate (eGFR) and urine albumin excretion are commonly used to diagnose chronic kidney disease (CKD). However, these parameters are relatively insensitive, limiting their utility for screening and early detection of kidney disease. Studies have suggested that urinary proteomic profiles differ by eGFR stage, offering potential insights into kidney disease pathogenesis alongside opportunities to increase the sensitivity of current testing strategies.
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