
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 22, 2025
Language: Английский
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 22, 2025
Language: Английский
Journal of Materials Science Materials in Electronics, Journal Year: 2025, Volume and Issue: 36(5)
Published: Feb. 1, 2025
Language: Английский
Citations
3Inorganics, Journal Year: 2025, Volume and Issue: 13(3), P. 67 - 67
Published: Feb. 24, 2025
Perovskite materials have emerged as one of the most promising classes compounds in recent years due to their unique combination electrical, dielectric, and magnetic properties, which make them ideal candidates for a wide range advanced technological applications. This comprehensive review explores latest developments behavior perovskites, providing an in-depth analysis underlying mechanisms potential improving device performance. The covers fundamental aspects charge transport, polarization, interactions perovskite structures including impact crystal symmetry, ion migration, external stimuli on properties. Moreover, it highlights various strategies used tailor these properties through compositional engineering, doping, structural modifications, resulting enhanced efficiency, stability, multifunctionality applications such photovoltaics, capacitors, dielectric resonators, spintronic devices. Additionally, paper addresses challenges associated with practical implementation stability issues under harsh environmental conditions scalability industrial concludes outlook future directions, emphasizing need further research overcome unlock full next-generation electronics, energy storage,
Language: Английский
Citations
2Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 114067 - 114067
Published: Feb. 1, 2025
Language: Английский
Citations
1Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04357 - e04357
Published: Feb. 1, 2025
Language: Английский
Citations
0Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105880 - 105880
Published: Feb. 1, 2025
Language: Английский
Citations
0Materials Science in Semiconductor Processing, Journal Year: 2025, Volume and Issue: 192, P. 109417 - 109417
Published: March 1, 2025
Language: Английский
Citations
0Journal of Macromolecular Science Part B, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: March 5, 2025
Carbon dioxide has gained considerable attention as a green alternative solvent for various industrial processes, such chemical reactions, separations and material processing. On the other hand, polyethylene glycol (PEG) is handy polymer compound which finds myriad applications in many industries pharmaceuticals, biotechnology engineering. This study introduces machine learning models based upon K-nearest Neighbors, Decision Tree, Adaptive Boosting Ensemble algorithms to accurately predict CO2-saturated PEG density function of molar mass, pressure temperature. An experimental dataset utilized purpose developing intelligent models. Also, leverage method made use check data authenticity model development relevancy index used elucidate relative impacts each feature on density. The obtained results imply that acquired was appropriate be included within data-driven models' construction. In addition, it shown factor directly affects while negatively affected by temperature mass. Moreover, found developed Neighbors most accurate prediction
Language: Английский
Citations
0Fluid Phase Equilibria, Journal Year: 2025, Volume and Issue: unknown, P. 114423 - 114423
Published: March 1, 2025
Language: Английский
Citations
0Molecular Physics, Journal Year: 2025, Volume and Issue: unknown
Published: March 12, 2025
Language: Английский
Citations
0Journal of Nanoparticle Research, Journal Year: 2025, Volume and Issue: 27(3)
Published: March 1, 2025
Language: Английский
Citations
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