Multifunctional flexible ferroelectric thick-film structures with energy storage, piezoelectric and electrocaloric performance

Sadl, Matej; Kovacova, Veronika; Defaÿ, E.; Rojac, Tadej; Lebar, Andrej; Valentinčič, Joško

doi:10.1039/d3tc01555f

Cited by 7 publications

(2 citation statements)

References 63 publications

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“…During the AD process, the powder particles were mixed with a nitrogen carrier gas and formed an aerosol, which was subsequently ejected by a pressure difference and deposited on a substrate (deposition details in Ref. [54]). A 125 μm thick polyimide foil (Kapton ® HN, DuPont, USA) with a presputtered ≈1 μm thick Au bottom electrode (RF-magnetron sputtering equipment, 5Pascal, Italy) was used as substrate.…”

Section: Methodsmentioning

confidence: 99%

Direct Electrocaloric Characterization of Ceramic Films

et al. 2023

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Reliable and accurate characterization of the electrocaloric effect is necessary to understand the intrinsic properties of materials. To date, several methods are developed to directly measure the electrocaloric effect. However, each of them has some limitations, making them less suitable for characterizing ceramic films, which rely almost exclusively on less accurate indirect methods. Here, a new approach is proposed to address the process of rapid heat dissipation in ceramic films and to detect the electrically induced temperature change before it thermally bonds with the surrounding elements. By using a polymer substrate that slows heat dissipation to the substrate and fast infrared imaging, a substantial part of the adiabatic electrocaloric effect in Pb(Mg1/3Nb2/3)O3‐based ceramic films is captured. Infrared imaging provides a robust technique to reduce the ratio between the adiabatic and the measured electrocaloric temperature change in micrometer‐sized ceramic films to a single‐digit number, ≈3.5. The obtained results are validated with another direct thermometric method and compared with the results obtained with an indirect approach. Despite different measurement principles, the results obtained with the two direct methods agree well. The proposed approach is timely and can open a door to verify the predicted giant electrocaloric effects in ceramic films.

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Section: Methodsmentioning

confidence: 99%

Direct Electrocaloric Characterization of Ceramic Films

et al. 2023

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“…Comprehending and tackling these obstacles is vital to creating efficacious decision-making approaches. It also lays the groundwork for future conferences on how decision-making theories, especially those enhanced by AI, can help find responses [17]. Table 1 shows challenges in sustainable energy management.…”

Section: Challenges In Sustainable Energy Managementmentioning

confidence: 99%

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management

Kaur,

Kumar,

Singh

et al. 2024

JSE

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The integration of Artificial Intelligence (AI) into sustainable energy management presents a transformative opportunity to elevate the sustainability, reliability, and efficiency of energy systems. This article conducts an exhaustive analysis of the critical aspects concerning the AI-sustainable energy nexus, encompassing the challenges in technological integration and the facilitation of intelligent decision-making processes pivotal for sustainable energy frameworks. It is demonstrated that AI applications, ranging from optimization algorithms to predictive analytics, possess a revolutionary capacity to bolster intelligent decision-making in sustainable energy. However, this integration is not without its challenges, which span technological complexities and socio-economic impacts. The article underscores the imperative for deploying AI in a manner that is transparent, equitable, and inclusive. Best practices and solutions are proposed to navigate these challenges effectively. Additionally, the discourse extends to recent advancements in AI, including edge computing, quantum computing, and explainable AI, offering insights into the evolving landscape of sustainable energy. Future research directions are delineated, emphasizing the importance of enhancing explainability, mitigating bias, advancing privacy-preserving techniques, examining socio-economic ramifications, exploring models of human-AI collaboration, fortifying security measures, and evaluating the impact of emerging technologies. This comprehensive analysis aims to inform academics, practitioners, and policymakers, guiding the creation of a resilient and sustainable energy future.

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