Integrating artificial intelligence into thermodynamics: A new paradigm for sustainable future

AIP Advances, Journal Year: 2025, Volume and Issue: 15(6)

Published: June 1, 2025

In this study, we explore the transformative impact of artificial intelligence (AI) in field thermodynamics, emphasizing its role predictive modeling, simulation, and process optimization. The article illustrates how advancements AI have revolutionized analysis management thermodynamic systems, enabling engineers scientists to anticipate system behavior under diverse conditions. By integrating machine learning algorithms statistical techniques into demonstrate that it is possible develop highly accurate models forecast performance based on historical data. This capability particularly valuable scenarios where traditional experimentation impractical due cost or time constraints. Furthermore, study highlights significance enhancing operational efficiency safety, high-stakes environments such as nuclear power plants chemical processing facilities. also delves integration within simulation methodologies, specifically through surrogate which facilitates rapid evaluations complex processes. not only streamlines design phases but allows for extensive “what-if” analyses, our understanding dynamics. addition, examine application AI-driven optimization techniques, genetic reinforcement learning, proven essential improving energy reliability across various industries. Looking future, underscores necessity continued research development AI-enhanced thermodynamics. methodologies discussed pave way innovative solutions address pressing challenges materials discovery. Ultimately, posit fusion thermodynamics will be pivotal fostering a more sustainable efficient with far-reaching implications multiple domains.

Language: Английский

Perovskite CsPbBr₃ Quantum Dots on Aminated Silica with Enhanced Stability for Blue Light-Emitting Diode and Anti-Counterfeiting Applications

ACS Applied Nano Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Inorganic perovskite quantum dots (PQDs), specifically CsPbX3 (X = Cl, Br, or I), have attracted considerable interest for their exceptional optoelectronic properties. However, development is constrained by instability arising from particle mobility. The tendency of small-sized PQDs to aggregate into larger green-emitting presents a significant challenge the widespread application blue-emitting CsPbBr3 PQDs, particularly in scenarios demanding pure blue light emission. To tackle this challenge, we utilized straightforward yet efficient synthesis approach immobilize and encapsulate onto APTES-capped silica microspheres. In contrast CsPbBr3-A-SiO2 composites display outstanding stability under UV exposure, heat, aqueous conditions, consistently maintaining single emission peak photoluminescence spectrum, accompanied an extended fluorescence lifetime. Transmission electron microscope analysis revealed transformation dispersed aggregated nanostructures nanorods with time, while encapsulated maintained uniform dispersion. By encapsulating on 310 nm chip, stable light-emitting diodes color coordinates approximately at (0.148, 0.05) can be fabricated. synergistic unstable effectively enhance anticounterfeiting measures, information encryption, digital technologies. Integrating materials anticipated show promise security, various other domains.

Language: Английский