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RESEARCH PAPER · Molecular Systems Design & Engineering · 2019

Design of multifunctional supercapacitor electrodes using an informatics approach

Anish G. Patel, Luke Johnson, Raymundo Arróyave, Jodie L. Lutkenhaus

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42 direct citing works

Design of multifunctional supercapacitor electrodes using an informatics approachOriginalHighly Multifunctional Dopamine-Functionalized Reduced Graphene Oxide Supercapacitors87Branched aramid nanofiber-polyaniline electrodes for structural energy storage24Structural reduced graphene oxide supercapacitors mechanically enhanced with tannic acid30Structural batteries take a load off25Carbon Nanotube/Reduced Graphene Oxide/Aramid Nanofiber Structural Supercapacitors38Multifunctional efficiency metric for structural supercapacitors9Machine learning toward advanced energy storage devices and systems199Structural Lithium-Ion Battery Cathodes and Anodes Based on Branched Aramid Nanofibers36Designing Structural Electrochemical Energy Storage Systems: A Perspective on the Role of Device Chemistry19Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives116Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review119Structural pseudocapacitors with reinforced interfaces to increase multifunctional efficiency59Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing16Predicting Ionic Conductivity in Thin Films of Garnet Electrolytes Using Machine Learning13Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra16A comprehensive review on MoSe 2 nanostructures with an overview of machine learning techniques for supercapacitor applications33Novelty Detection in the Design of Synthesis of Energy Storage Materials: a Case Study of Garnet-Structured Solid Electrolytes1Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology53Novelty detection in the design of synthesis of garnet-structured solid electrolytes6Composite Nanoarchitectonics Towards Method for Everything in Materials Science13Data-Driven Optimization of Carbon Electrodes for Aqueous Supercapacitors10Machine Learning‐Based Assessment and Optimization of Electrode Materials for Supercapacitors1Transforming Carbon-Based Material: The Role of AI and ML Regression Techniques in Material Science0Characterization and Reporting Protocols for Structural Power Composites: A Perspective21AI-driven approaches for navigating battery complexity1Synergizing machine learning and self-assembly to hypercrosslinked polymers-based carbon nanotubes for supercapacitors0Reliability-by-design for deployable next-generation supercapacitors: degradation, harsh-environment operation, sustainability, and AI-guided lifetime prediction0

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27 direct citing papers saved.

  1. Highly Multifunctional Dopamine-Functionalized Reduced Graphene Oxide Supercapacitors

    Matter · 2019-10-23

    Paraskevi Flouda, Smit A. Shah, Dimitris C. Lagoudas, Micah J. Green, Jodie L. Lutkenhaus

    Read original paper ↗ ·

  2. Branched aramid nanofiber-polyaniline electrodes for structural energy storage

    Nanoscale · 2020-01-01

    Paraskevi Flouda, Alexander H. Quinn, Anish G. Patel, Dimitrios Loufakis, Dimitris C. Lagoudas, Jodie L. Lutkenhaus

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  3. Structural reduced graphene oxide supercapacitors mechanically enhanced with tannic acid

    Sustainable Energy & Fuels · 2020-01-01

    Paraskevi Flouda, Junyeong Yun, Dimitrios Loufakis, Smit A. Shah, Micah J. Green, Dimitris C. Lagoudas, Jodie L. Lutkenhaus

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  4. Structural batteries take a load off

    Science Robotics · 2020-08-19

    Jodie L. Lutkenhaus, Paraskevi Flouda

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  5. Carbon Nanotube/Reduced Graphene Oxide/Aramid Nanofiber Structural Supercapacitors

    ACS Applied Energy Materials · 2020-11-17

    Anish G. Patel, Dimitrios Loufakis, Paraskevi Flouda, Ian George, Charles Shelton, John Harris, Suyash S. Oka, Jodie L. Lutkenhaus

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  6. Multifunctional efficiency metric for structural supercapacitors

    Multifunctional Materials · 2020-11-24

    Tianyang Zhou, Emma Dickinson, James G. Boyd, Jodie L. Lutkenhaus, Dimitris C. Lagoudas

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  7. Machine learning toward advanced energy storage devices and systems

    iScience · 2020-12-13

    Tianhan Gao, Wei D. Lu

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  8. Structural Lithium-Ion Battery Cathodes and Anodes Based on Branched Aramid Nanofibers

    ACS Applied Materials & Interfaces · 2021-07-14

    Paraskevi Flouda, Suyash S. Oka, Dimitrios Loufakis, Dimitris C. Lagoudas, Jodie L. Lutkenhaus

    Read original paper ↗ ·

  9. Designing Structural Electrochemical Energy Storage Systems: A Perspective on the Role of Device Chemistry

    Frontiers in Chemistry · 2022-01-03

    Adriana M. Navarro‐Suárez, Milo S. P. Shaffer

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  10. Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives

    Energy and AI · 2022-07-21

    Yuekuan Zhou

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  11. Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review

    Journal of Energy Chemistry · 2022-11-16

    Vaishali A. Sawant, Rashmi Deshmukh, Chetan J. Awati

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  12. Structural pseudocapacitors with reinforced interfaces to increase multifunctional efficiency

    Science Advances · 2023-06-23

    Lulu Yao, Kai Zheng, Nandu Koripally, Naresh Eedugurala, Jason David Azoulay, Xinyu Zhang, Tse Nga Ng

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  13. Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing

    Solid State Ionics · 2023-06-28

    Natalia V. Kireeva, Aslan Yu. Tsivadze, Vladislav S. Pervov

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  14. Predicting Ionic Conductivity in Thin Films of Garnet Electrolytes Using Machine Learning

    Batteries · 2023-08-22

    Natalia V. Kireeva, Aslan Yu. Tsivadze, Vladislav S. Pervov

    Read original paper ↗ ·

  15. Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra

    Computational Materials Science · 2023-10-30

    Natalia V. Kireeva, Vladislav S. Pervov, Aslan Yu. Tsivadze

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  16. A comprehensive review on MoSe 2 nanostructures with an overview of machine learning techniques for supercapacitor applications

    RSC Advances · 2024-01-01

    Robertson B, R. Sapna, Vinod Hegde, K. Hareesh

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  17. Novelty Detection in the Design of Synthesis of Energy Storage Materials: a Case Study of Garnet-Structured Solid Electrolytes

    ChemRxiv · 2024-01-09

    Natalia V. Kireeva, Aslan Yu. Tsivadze

    Read original paper ↗ ·

  18. Advancement in Supercapacitors for IoT Applications by Using Machine Learning: Current Trends and Future Technology

    Sustainability · 2024-02-10

    Qadeer Akbar Sial, Usman Safder, Shahid Iqbal, Rana Basit Ali

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  19. Novelty detection in the design of synthesis of garnet-structured solid electrolytes

    Journal of Solid State Chemistry · 2024-03-21

    Natalia V. Kireeva, Aslan Yu. Tsivadze

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  20. Composite Nanoarchitectonics Towards Method for Everything in Materials Science

    Journal of Inorganic and Organometallic Polymers and Materials · 2024-04-16

    Katsuhiko Ariga

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  21. Data-Driven Optimization of Carbon Electrodes for Aqueous Supercapacitors

    Journal of Chemical & Engineering Data · 2024-05-02

    Runtong Pan, Mengyang Gu, Jianzhong Wu

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  22. Machine Learning‐Based Assessment and Optimization of Electrode Materials for Supercapacitors

    Unknown journal · 2024-08-16

    Srikanta Moharana, Bibhuti Bhusan Sahu, Jayakishan K. Meher, Rozalin Nayak, Ram Naresh Mahaling, Karthik Dhandapani, Kalim Deshmukh

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  23. Transforming Carbon-Based Material: The Role of AI and ML Regression Techniques in Material Science

    Studies in computational intelligence · 2025-01-01

    Appusamy Muthukrishnaraj, Semmedu Selvaraj Kalaivani, A. Manikandan, K. P. Soman, Mohamed Henini

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  24. Characterization and Reporting Protocols for Structural Power Composites: A Perspective

    Advanced Energy Materials · 2025-08-11

    Emile S. Greenhalgh, Sang Nguyen, E. Leif, Alfredo Bici, Alexander Bismarck, Derrick Wen Hui Fam, Mats K. G. Johansson, Göran Lindbergh, Jodie L. Lutkenhaus, Milo S. P. Shaffer, Natasha Shirshova, Madhavi Srinivasan, Johanna Xu, Dan Zenkert

    Read original paper ↗ ·

  25. AI-driven approaches for navigating battery complexity

    EES batteries. · 2026-01-01

    Sai Gowtham Allu, Rehan Hasnain, Andrew Vos, Paraskevi Flouda

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  26. Synergizing machine learning and self-assembly to hypercrosslinked polymers-based carbon nanotubes for supercapacitors

    Chemical Engineering Journal · 2026-05-15

    Wenliang Song, Jingli Li, Runtong Pan, Hailang Xu, Meng Xu, Jinseok Park, Jinwoo Kim, Jihao Yang, Qing Lin Hou, Guisheng Li, Yaozu Liao, Jianzhong Wu, Bumjoon J. Kim

    Read original paper ↗ ·

  27. Reliability-by-design for deployable next-generation supercapacitors: degradation, harsh-environment operation, sustainability, and AI-guided lifetime prediction

    Progress in Materials Science · 2026-09-18

    Syed Shaheen Shah, Hani A. Albalawi, Adnan Almasoudi, Abdul Wadood, Syed Khasim, Taymour A. Hamdalla, Takaya Ogawa, Munawar Iqbal, Zafar Said, Md. Abdul Aziz

    Read original paper ↗ ·
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