Ai-assisted discovery of high-temperature dielectrics for energy storage


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AI-assisted discovery of high-temperature dielectrics for energy

Jul 19, 2024· Dielectrics are essential for modern energy storage, but currently have limitations in energy density and thermal stability. Here, the authors discover dielectrics with 11 times the energy...

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High-Energy-Density and High Efficiency Polymer Dielectrics for High

Oct 20, 2022· Polymer dielectrics are key components for electrostatic capacitors in energy, transportation, military, and aerospace fields, where their operation temperature can be boosted beyond 125 °C. While most polymers bear poor thermal stability and severe dielectric loss at elevated temperatures, numerous linear polymers with linear D-E loops and low dielectric

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AI accelerates discovery of next-gen polymers

Aug 20, 2024· Rishi Gurnani et al, AI-assisted discovery of high-temperature dielectrics for energy storage, Nature Communications (2024). DOI: 10.1038/s41467-024-50413-x Journal information: Nature

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Generative learning facilitated discovery of high-entropy ceramic

Jun 10, 2024· AI-assisted discovery of high-temperature dielectrics for energy storage Article Open access 19 July 2024 Engineering relaxors by entropy for high energy storage performance

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AI-assisted discovery of high-temperature dielectrics for

Here, we employ articial intelligence (AI), established polymer chemistry, and fi molecular engineering to discover a suite of dielectrics in the polynorbornene and polyimide families.

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Anisotropic Semicrystalline Homopolymer Dielectrics for High

Apr 10, 2024· High-temperature dielectric polymers are in high demand for powering applications in extreme environments. Here, we have developed high-temperature homopolymer dielectrics with anisotropy by leveraging the hierarchical structure in semicrystalline polymers. The lamellae have been aligned parallel to the surface in the dielectric films.

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AI-Assisted Discovery of High-Temperature Record-Breaker

May 2, 2008· AI-Assisted Discovery of High-Temperature Record-Breaker Dielectrics for Energy Storage. When and Where. Nov 27, 2023. 4:15pm - 4:30pm. Sheraton, Third Floor, Gardner.

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Author Correction: AI-assisted discovery of high-temperature

Jul 19, 2024· Corrections&amendments Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storage Rishi Gurnani, Stuti Shukla, Deepak Kamal, Chao Wu, Jing Hao,

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Can artificial intelligence help converge on high-performance dielectrics?

Within the vast expanse of chemical possibilities for all polymers, it is likely that a wide variety of high-performance dielectrics await discovery. Well-trained and calibrated artificial intelligence (AI), capable of handling large numbers that challenge human imagination, can help converge on extraordinary materials rapidly.

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Rishi Gurnani on LinkedIn: AI-assisted discovery of high-temperature

AI-assisted discovery of high-temperature dielectrics for energy storage - Nature Communications This multi-disciplinary AI-assisted design and validation journey has led to a remarkable class

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Frequency-dependent dielectric constant prediction of polymers

May 21, 2020· AI-assisted discovery of high-temperature dielectrics for energy storage Article Open access 19 July 2024 Designing polymer nanocomposites with high energy density using machine learning

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Design of polymers for energy storage capacitors using machine learning

Sep 18, 2021· AI-assisted discovery of high-temperature dielectrics for energy storage polymer dielectrics for high-temperature capacitors need to meet multiple property criteria, including a high energy density to reduce the size of capacitors, high thermal stability to survive high operating temperatures, and high breakdown field strength to withstand

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Author Correction: AI-assisted discovery of high-temperature

Aug 21, 2024· Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storage. Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storage Nat Commun. 2024 Aug 21;15(1):7168. doi: 10.1038/s41467-024-51526-z.

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AI-assisted discovery of high-temperature dielectrics for energy storage

Many of the discovered dielectrics exhibit high thermal stability and high energy density over a broad temperature range. One such dielectric displays an energy density of 8.3 J cc−1 at 200 °C, a value 11 × that of any commercially available polymer dielectric at this temperature.

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AI-assisted discovery of high-temperature dielectrics for energy

Jul 19, 2024· Most industry-grade polymer dielectrics are flexible polyolefins or rigid aromatics, possessing high energy density or high thermal stability, but not both. Here, we employ

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High-temperature dielectric energy storage films with self-co

Feb 1, 2024· High-energy-density and high efficiency polymer dielectrics for high temperature electrostatic energy storage: a review Small ( 2022 ), 10.1002/smll.202205247 Google Scholar

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AI-assisted discovery of high-temperature dielectrics for energy

Many of the discovered dielectrics exhibit high thermal stability and high energy density over a broad temperature range. One such dielectric displays an energy density of 8.3 J cc-1 at 200 °C, a value 11 × that of any commercially available polymer dielectric at this temperature.

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Author Correction: AI-assisted discovery of high-temperature

Rishi Gurnani & Stuti Shukla & Deepak Kamal & Chao Wu & Jing Hao & Christopher Kuenneth & Pritish Aklujkar & Ashish Khomane & Robert Daniels & Ajinkya A. Deshmukh & Yang Cao & Gregory Sotzing & Rampi, 2024 thor Correction: AI-assisted discovery of high-temperature dielectrics for energy storage

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AI-assisted discovery of high-temperature dielectrics for energy storage

AI-assisted discovery of high-temperature dielectrics for energy storage. Overview of attention for article published in Nature Communications, July 2024. AI-assisted discovery of high-temperature dielectrics for energy storage Published in: Nature Communications, July 2024 DOI: 10.1038/s41467-024-50413-x:

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Phase-field modeling and machine learning of electric-thermal

Apr 23, 2019· Polymer dielectrics are promising for high-density energy storage but dielectric breakdown is poorly understood. AI-assisted discovery of high-temperature dielectrics for energy storage

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AI-assisted discovery of high-temperature dielectrics for energy

Jul 19, 2024· Here, we employ artificial intelligence (AI), established polymer chemistry, and molecular engineering to discover a suite of dielectrics in the polynorbornene and polyimide

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AI-assisted discovery of high-temperature dielectrics for

Many of the discovered dielectrics exhibit high ther-mal stability and high energy density over a broad temperature range. One such dielectric displays an energy density of 8.3 J cc−1 at...

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AI-assisted discovery of high-temperature dielectrics for energy

Jul 19, 2024· Here, we employ artificial intelligence (AI), established polymer chemistry, and molecular engineering to discover a suite of dielectrics in the polynorbornene and polyimide

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Enhanced high-temperature energy storage performances in

Oct 5, 2024· Polymer dielectrics are considered promising candidate as energy storage media in electrostatic capacitors, which play critical roles in power electrical systems involving elevated temperatures

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Does polyverse work in high-temperature dielectric search?

This study introduces the polyVERSE ("polymers designed by Virtually-Executed Rule-Based Synthesis Experiments") paradigm (Fig. 1 a), showcasing its success in achieving these four attributes in the context of high-temperature dielectric search.

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Rational Co‐Design of Polymer Dielectrics for Energy Storage

Mar 15, 2016· It is illustrated here how one may harness a rational co-design approach-involving synergies between high-throughput computational screening and experimental synthesis and testing-with the example of polymer dielectrics design for electrostatic energy storage applications. Although traditional materials discovery has historically benefited from

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Can machine learning be used to design polymers for energy storage capacitors?

Kern, J., Chen, L., Kim, C. & Ramprasad, R. Design of polymers for energy storage capacitors using machine learning and evolutionary algorithms. J. Mater. Sci. 56, 19623–19635 (2021). Gurnani, R. et al. polyG2G: a novel machine learning algorithm applied to the generative design of polymer dielectrics.

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Publications | Electrical Insulation Research Center

[3] Yifei Wang, Zongze Li, Chao Wu, Peinan Zhou, Jierui Zhou, Jindong Huo, Kerry Davis, Antigoni Konstantinou, Hiep Nguyen, and Yang Cao, "High-performance polymer dielectric with montmorillonite nanosheets coating for high-temperature energy storage ", Chemical Engineering Journal, Vol. 437, 135430, 2022.

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Rishi

Aug 21, 2024· Author Correction: AI-assisted discovery of high-temperature dielectrics for energy storage. Nature Communications 2024-08-21 AI-assisted discovery of high-temperature dielectrics for energy storage. Nature Communications 2024-07-19 | Journal article DOI:

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How can a new generation of AI improve materials discovery?

Any of these approaches to materials discovery would benefit from increased accuracy of the polyGNN models—perhaps using strategies like pretraining 51, 52 —to reduce the amount of time spent on bad leads. Moreover, significant resources should be dedicated to a new generation of AI characterized by human interpretability.

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AI-assisted discovery of high-temperature dielectrics for energy

This work was financially supported by the Office of Naval Research through a Multi-University Research Initiative (MURI) grant (N00014-17-1-2656), the Center for Understanding and

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Why is a high thermal stability dielectric important?

For example, the high thermal stability of each dielectric in Fig. 3 b eliminates the need for capacitor cooling systems. Among these dielectrics, those with higher Ue are preferred, as this attribute reduces the amount of capacitor material required to store a fixed amount of energy.

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BaTiO3-assisted exfoliation of boron nitride nanosheets for high

Jan 1, 2022· BaTiO 3-assisted exfoliation of boron nitride nanosheets for high-temperature energy storage dielectrics and thermal management Author links open overlay panel Min Wu a b, Liusi Yang b, Yuanliang Zhou a, Jie Jiang a, Lin Zhang c, Tingke Rao a, Peng Yang a, Bilu Liu b, Wugang Liao a

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AI-assisted discovery of high-temperature dielectrics for energy

Jul 19, 2024· Our approach revealed PONB-2Me5Cl, an exceptional polymer for electrostatic energy storage, especially in high-temperature applications such as wind pitch control, hybrid

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AI-assisted discovery of high-temperature dielectrics for energy storage

Jul 19, 2024· Journal Article: AI-assisted discovery of high-temperature dielectrics for energy storage Title: AI-assisted discovery of high-temperature dielectrics for energy storage Journal Article · Fri Jul 19 00:00:00 EDT 2024 · Nature Communications

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Prediction of high-temperature polymer dielectrics using a

Jul 7, 2022· Machine learning has shown its great potential in the accelerated discovery of advanced materials in the field of computational molecular design. High-temperature polymer dielectrics are urgently required with the emerging applications of energy-storage dielectric film capacitors under high-temperature conditions. Here, we demonstrate the successful prediction

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AI accelerates discovery of next-gen polymers

"The new class of polymers with high energy density and high thermal The potential for real-world translation of AI-assisted materials AI-assisted discovery of high-temperature dielectrics

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Are dielectrics a viable alternative to commercial energy storage?

Dielectrics are essential for modern energy storage, but currently have limitations in energy density and thermal stability. Here, the authors discover dielectrics with 11 times the energy density of commercial alternatives at elevated temperatures.

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About Ai-assisted discovery of high-temperature dielectrics for energy storage

About Ai-assisted discovery of high-temperature dielectrics for energy storage

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