Structural, Morphological, and Magnetic Characterizations of (Fexmn1-X)2o3 Nanocrystals: A Comprehensive Stoichiometric Determination DOI
J. Mantilla, L.C.C.M. Nagamine, Renato Cohen

et al.

Published: Jan. 1, 2023

Iron manganese trioxide (FexMn1-x)2O3 nanocrystals were synthesized by the sol-gel method. The 80 K Mössbauer spectrum was well-fitted using two doublets representing 8b and 24d crystallographic sites of phase weak extra sextets which attributed to crystalline amorphous hematite. area ratio between percentage areas used as constraints in Rietveld analysis x-ray diffraction (XRD) data. Our findings showed formation a bixbyite primary with stoichiometry (Fe0.248Mn0.717)2O3, mean size ~48 ± 1 nm plus secondary hematite ~8 nm. Raman exhibits six active modes, typical (Fe,Mn)2O3, modes associated phase. photoelectron spectroscopy (XPS) confirmed presence oxygen vacancy onto particle surface, varying oxidation states (Fe3+, Fe2+, Mn3+, Mn4+). strong predominance Fe2+ over Fe3+ vacancies at leading reduction order keep charge balance. X-band magnetic resonance (MR) data revealed single broad line whole temperature range (3.8 ≤ T 300 K), g-value decreasing monotonically from 3.93 0.01 50 down 2.18 K. dependence both field linewidth shows remarkable change 40-50 K, herein credited surface spin glass behavior. model picture explain MR lower (below about K) assumes nanoparticles core-shell structure. Results indicate that below shell’s system reveals paramagnetic glass-like transition upon cooling, critical estimated 43 In higher range, superparamagnetic (secondary) contributes remarkably linewidth. Zero-field-cooled (ZFC) field-cooled (FC) show irreversibility peak ZFC curve ~33 paramagnetic-ferrimagnetic main Hysteresis 5 low coercive 4 kOe, magnetization not reaching saturation 70 suggesting ocurrence ferrimagnetic core disorder characteristic spin-glass-like

Language: Английский

Recent applications of machine learning in alloy design: A review DOI
Mingwei Hu, Qiyang Tan, Ruth Knibbe

et al.

Materials Science and Engineering R Reports, Journal Year: 2023, Volume and Issue: 155, P. 100746 - 100746

Published: June 17, 2023

Language: Английский

Citations

59

Design of a high-efficiency perovskite solar cell based on photonic crystal in the absorption layer DOI

Narin Fatehi,

Saeed Olyaee, Mahmood Seifouri

et al.

Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(3)

Published: Jan. 11, 2024

Language: Английский

Citations

10

Perovskite oxides as promising candidates for advanced supercapacitor electrode materials: A review DOI

Samaneh Soleimani,

Kian Pishvaie,

Majid Saidi

et al.

Journal of Power Sources, Journal Year: 2025, Volume and Issue: 640, P. 236760 - 236760

Published: March 13, 2025

Language: Английский

Citations

0

Accelerating device characterization in perovskite solar cells via neural network approach DOI
Xinhai Zhao, Chaopeng Huang, Erik Birgersson

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 125922 - 125922

Published: April 24, 2025

Language: Английский

Citations

0

Machine learning for fast development of advanced energy materials DOI Creative Commons

Bita Farhadi,

Jiaxue You,

Dexu Zheng

et al.

Next Materials, Journal Year: 2023, Volume and Issue: 1(3), P. 100025 - 100025

Published: June 25, 2023

With its unique advantages in artificial intelligence, data analysis, interpolation and numerical extrapolation, etc. ML has recently been quickly developed for the discovery of advanced energy materials. In particular, many algorithms have to predict material properties. Herein, we first introduce used science structure each algorithm. Then examine that functional materials, especially solar cells, batteries, phase-change Finally, disadvantages algorithm are compared aid readers choosing a suitable specific applications.

Language: Английский

Citations

10

High dielectric constant in calcium-substituted GdMnO3 for storage device applications DOI

Supriya Priyadarshinee,

Jayashree Pati,

Ranjita Mahapatra

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(5)

Published: May 5, 2025

Language: Английский

Citations

0

Synthesis and Characterization of CaO nanoparticles from Periwinkle shell for the Treatment of Tetracycline-contaminated Water by Adsorption and Photocatalyzed Degradation DOI Creative Commons
N. Eddy,

Joseph Oladede,

Ifeanyi Samson Eze

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103374 - 103374

Published: Nov. 9, 2024

Language: Английский

Citations

3

Crystal Group Prediction for Lithiated Manganese Oxides Using Machine Learning DOI Creative Commons
Pier Paolo Prosini

Batteries, Journal Year: 2023, Volume and Issue: 9(2), P. 112 - 112

Published: Feb. 5, 2023

This work aimed to predict the crystal structure of a compound starting only from knowledge its chemical composition. The method was developed select new materials in field lithium-ion batteries and tested on Li-Fe-O compounds. For each testing compound, correspondence with respect training compounds evaluated simply by calculating Euclidean distance existing between stoichiometric coefficients elements constituting two At under test assigned for which value minimum. results showed that model can crystalline group an accuracy higher than 80% precision 90%, cut-off four. then used manganese-based (Li-Mn-O). analysis conducted twenty randomly selected 70%. Out ten valid predictions, nine were true positives, 90%.

Language: Английский

Citations

7

Enhancing shielding efficiency of ordinary and barite concrete in radiation shielding utilizations DOI Creative Commons

Nasuha Ahmad,

Mohd Idzat Idris,

Azimah Hussin

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 29, 2024

Concrete has been widely utilized as a radiation shielding material due to its properties and structural integrity. This study aims evaluate the efficiency of ordinary concrete versus barite materials, focusing on physical aspects changes in crystal size lattice parameters after neutron irradiation. Specifically, research investigates effectiveness these materials across different grades (M15, M25, M35, M45) against gamma-ray sources Cobalt-60 Caesium-137. The methodology involves measuring linear attenuation coefficient (μ), half value layer (HVL), tenth (TVL), mean free path (MFP). Additionally, X-ray diffraction (XRD) was employed assess crystallite parameter post-irradiation for Results indicate that incorporating an aggregate significantly enhances density macroscopic concrete. Irradiation with Cesium 137 revealed lower (μ) ranging from 0.172 0.195 cm

Language: Английский

Citations

2

A Comprehensive Review of Machine Learning Applications in Perovskite Solar Cells: Materials Discovery, Device Performance, Process Optimization and Systems Integration DOI
Ling Mao, Changying Xiang

Materials Today Energy, Journal Year: 2024, Volume and Issue: 47, P. 101742 - 101742

Published: Nov. 15, 2024

Language: Английский

Citations

2