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RESEARCH PAPER · Advanced Energy Materials · 2021

Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing Approaches

Tejs Vegge, Jean‐Marie Tarascon, Kristina Edström

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Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing ApproachesOriginalMonitoring battery electrolyte chemistry via in-operando tilted fiber Bragg grating sensors145Uncertainty-Aware and Explainable Machine Learning for Early Prediction of Battery Cell Degradation1Artificial Intelligence Applied to Battery Research: Hype or Reality?503PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra0PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra0Self‐Healing: An Emerging Technology for Next‐Generation Smart Batteries159Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries65Review—Reference Electrodes in Li-Ion and Next Generation Batteries: Correct Potential Assessment, Applications and Practices64Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective376Toward a Unified Description of Battery Data99Machine learning-driven advanced development of carbon-based luminescent nanomaterials23A review on nanofiber reinforced aerogels for energy storage and conversion applications80A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+235Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?87PRISMA: A Robust and Intuitive Tool for High‐Throughput Processing of Chemical Spectra**19Sensing as the key to battery lifetime and sustainability219Focus on using nanopore technology for societal health, environmental, and energy challenges29State estimation of lithium-ion batteries based on strain parameter monitored by fiber Bragg grating sensors75Reaching critical MASS: Crowdsourcing designs for the next generation of materials acceleration platforms29Principles of the Battery Data Genome132Physical computing for materials acceleration platforms7Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries11Artificial intelligence driven hydrogen and battery technologies – A review201Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory37Battery optimization by machine learning algorithms: Research gap via bibliometric analysis11Self-healable, super Li-ion conductive, and flexible quasi-solid electrolyte for long-term safe lithium sulfur batteries26Bioinspired Fast Room-Temperature Self-Healing, Robust, Adhesive, and AIE Fluorescent Waterborne Polyurethane via Hierarchical Hydrogen Bonds and Use as a Strain Sensor71The Promise of 3D Printed Solid Polymer Electrolytes for Developing Sustainable Batteries: A Techno-Commercial Perspective18Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review30Biomarkers detection using a nanopore integrated with a microfluidic device0Toward thin and stable anodes for practical lithium metal batteries: A review, strategies, and perspectives70Sustainability metrics of environmental sustainability in Iranian manufacturing sector: achieving through human resources2State of Charge Estimation for Commercial Li-Ion Battery Based on Simultaneously Strain and Temperature Monitoring Over Optical Fiber Sensors40The origins of critical deformations in cylindrical silicon based Li-ion batteries38Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects55Smart batteries for powering the future141Functional Optical Fiber Sensors Detecting Imperceptible Physical/Chemical Changes for Smart Batteries52Lithium-ion battery digitalization: Combining physics-based models and machine learning101Chitosan‐Decorated Alumina Hybrid Nanoparticles as Smart Scavengers of HF and Dissolved Transition Metals in Lithium‐Ion Batteries14Battery electronification: intracell actuation and thermal management32Innovative self-repairing binders tackling degradation and de-lithiation challenges: Structure, mechanism, high energy and durability19Machine Learning‐Aided Design of Highly Conductive Anion Exchange Membranes for Fuel Cells and Water Electrolyzers55Enhancing lithium-ion battery monitoring: A critical review of diverse sensing approaches92Utilizing active learning to accelerate segmentation of microstructures with tiny annotation budgets4Electrochemical Plasmonic Fibers for Operando Monitoring of Renewable Energy0Perspectives and Future Trends Toward Multifunctional Batteries1Recent status, key strategies and challenging perspectives of smart batteries for next-generation batteries24Self-healing polymer binders: next-generation battery applications26Monitoring and control of internal temperature in power batteries: A comprehensive review27Deep Learning-Driven Molecular Generation and Electrochemical Property Prediction for Optimal Electrolyte Additive Design8The wide range of battery systems: From micro- to structural batteries, from biodegradable to high performance batteries30Rechargeable magnesium batteries: Overcoming challenges for high-efficiency energy applications19Sensors Innovations for Smart Lithium-Based Batteries: Advancements, Opportunities, and Potential Challenges62Interfacial modulation engineering for sodium layered oxide cathode: air stability, ion-transfer kinetics, and phase evolution16Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives53Exploring the unknown relationship between additives and zinc anodes: from key challenges to enhancement mechanisms9Materials informatics: A review of AI and machine learning tools, platforms, data repositories, and applications to architectured porous materials41Embedded sensing: The neural frontier and early-warning revolution in battery safety monitoring3Bio‐Based Separator Engineering Toward Better Metal Anodes in Rechargeable Batteries: Progress and Perspectives10Battery Pack Safety Management System for Electric Forklifts0Towards artificial intelligence-enabled autonomous battery prognostics and management12Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches2The Evolution and Integrated Systems of Microbatteries3Decoding the tumor immune landscape: emerging TIL subsets as prognostic biomarkers and therapeutic targets0When Zeolites Meet Electrochemical Devices: Progress of Separators6Dynamic Smart Membranes: Real‐Time Perception, Self‐Response, and AI‐Driven Optimization for High‐Safety Lithium‐Based Batteries0AI‐Organized Multiscale Battery Modeling: Linking Structure and Property from Quantum to Device Scales0A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation0Life cycle intelligence for solid-state batteries0A closed-loop degradation-aware self-healing battery framework for ultra-long-duration energy storage0Materials design and integration strategies for next-generation smart batteries0

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  1. Monitoring battery electrolyte chemistry via in-operando tilted fiber Bragg grating sensors

    Energy & Environmental Science · 2021-01-01

    Jiaqiang Huang, Xile Han, Fu Liu, Charlotte Gervillié, Laura Albero Blanquer, Tuan Guo, Jean‐Marie Tarascon

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  2. Uncertainty-Aware and Explainable Machine Learning for Early Prediction of Battery Cell Degradation

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    Laura Rieger, Eibar Flores, Kristian Frellesen Nielsen, Poul Norby, Elixabete Ayerbe, Ole Winther, Tejs Vegge, Arghya Bhowmik

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  3. Artificial Intelligence Applied to Battery Research: Hype or Reality?

    Chemical Reviews · 2021-09-16

    Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, Fabian Årén, A. Gallo‐Bueno, Peter Bjørn Jørgensen, Arghya Bhowmik, Arnaud Demortière, Elixabete Ayerbe, Francisco Alcaide, Marine Reynaud, Javier Carrasco, Alexis Grimaud, Chao Zhang, Tejs Vegge, Patrik Johansson, Alejandro A. Franco

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  4. PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra

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  5. PRISMA: A robust and intuitive tool for high-throughput processing of chemical spectra

    Unknown journal · 2021-10-06

    Eibar Flores, Nataliia Mozhzhukhina, Xinyu Li, Poul Norby, Aleksandar Matic, Tejs Vegge

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  6. Self‐Healing: An Emerging Technology for Next‐Generation Smart Batteries

    Advanced Energy Materials · 2021-10-31

    Rekha Narayan, Christel Laberty‐Robert, Juan Pelta, Jean‐Marie Tarascon, Robert Dominko

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  7. Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries

    Advanced Energy Materials · 2021-11-23

    Arghya Bhowmik, Maitane Berecibar, Montse Casas‐Cabanas, Gábor Cśanyi, Robert Dominko, Kersti Hermansson, M. Rosa Palacín, Helge Sören Stein, Tejs Vegge

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  8. Review—Reference Electrodes in Li-Ion and Next Generation Batteries: Correct Potential Assessment, Applications and Practices

    Journal of The Electrochemical Society · 2021-12-01

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  9. Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

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  10. Toward a Unified Description of Battery Data

    Advanced Energy Materials · 2021-12-07

    Simon Clark, Francesca Lønstad Bleken, Simon Stier, Eibar Flores, Casper Welzel Andersen, Marek L. Marcinek, Anna Szczęsna‐Chrzan, Miran Gaberšček, M. Rosa Palacín, Martin Uhrin, Jesper Friis

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  11. Machine learning-driven advanced development of carbon-based luminescent nanomaterials

    Journal of Materials Chemistry C · 2022-01-01

    Diva Addini Maghribi Muyassiroh, Fitri Aulia Permatasari, Ferry Iskandar

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  12. A review on nanofiber reinforced aerogels for energy storage and conversion applications

    Journal of Energy Storage · 2022-01-05

    Kisan Chhetri, Subhangi Subedi, Alagan Muthurasu, Tae Hoon Ko, Bipeen Dahal, Hak Yong Kim

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  13. A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+

    Advanced Energy Materials · 2022-01-21

    Julia Amici, Pietro Asinari, Elixabete Ayerbe, P. Barboux, Pascale Bayle‐Guillemaud, R. Jürgen Behm, Maitane Berecibar, Erik J. Berg, Arghya Bhowmik, Silvia Bodoardo, Ivano E. Castelli, Isidora Cekić-Lasković, Rune Christensen, Simon Clark, Ralf Diehm, Robert Dominko, Maximilian Fichtner, Alejandro A. Franco, Alexis Grimaud, Nicolas Guillet, Maria Hahlin, Sarah Hartmann, Vincent Heiries, Kersti Hermansson, Andreas Heuer, Saibal Jana, Lara Jabbour, Josef Kallo, Arnulf Latz, Henning Lorrmann, Ole Martin Løvvik, Sandrine Lyonnard, Marcel Meeus, Elie E. Paillard, Simon Perraud, Tobias Placke, Christian Punckt, Olivier Raccurt, Janna Ruhland, Edel Sheridan, Helge Sören Stein, Jean‐Marie Tarascon, Victor Trapp, Tejs Vegge, Marcel Weil, Wolfgang Wenzel, Martin Winter, Andreas Wolf, Kristina Edström

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  14. Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?

    Advanced Materials Interfaces · 2022-01-30

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  15. PRISMA: A Robust and Intuitive Tool for High‐Throughput Processing of Chemical Spectra**

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  16. Sensing as the key to battery lifetime and sustainability

    Nature Sustainability · 2022-03-23

    Jiaqiang Huang, Steven Tyler Boles, Jean‐Marie Tarascon

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  17. Focus on using nanopore technology for societal health, environmental, and energy challenges

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  18. State estimation of lithium-ion batteries based on strain parameter monitored by fiber Bragg grating sensors

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  19. Reaching critical MASS: Crowdsourcing designs for the next generation of materials acceleration platforms

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  20. Principles of the Battery Data Genome

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    Logan T. Ward, Susan Babinec, Eric J. Dufek, David A. Howey, Venkatasubramanian Viswanathan, Muratahan Aykol, David A.C. Beck, Ben J. Blaiszik, Bor‐Rong Chen, George W. Crabtree, Simon Clark, Valerio De Angelis, Philipp Dechent, Matthieu Dubarry, Erica Eggleton, Donal P. Finegan, Ian T Foster, Chirranjeevi Balaji Gopal, Patrick K. Herring, Victor Waiman Hu, Noah H. Paulson, Yuliya Preger, Dirk Uwe Sauer, Kandler A. Smith, Seth W. Snyder, Shashank Sripad, Tanvir R. Tanim, Linnette Teo

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  21. Physical computing for materials acceleration platforms

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  22. Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries

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  23. Artificial intelligence driven hydrogen and battery technologies – A review

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  24. Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

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  25. Battery optimization by machine learning algorithms: Research gap via bibliometric analysis

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  26. Self-healable, super Li-ion conductive, and flexible quasi-solid electrolyte for long-term safe lithium sulfur batteries

    Journal of Materials Chemistry A · 2023-01-01

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  27. Bioinspired Fast Room-Temperature Self-Healing, Robust, Adhesive, and AIE Fluorescent Waterborne Polyurethane via Hierarchical Hydrogen Bonds and Use as a Strain Sensor

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    Yupeng Li, Yong Ping Jin, Wenhua Zeng, Hongyu Jin, Shang Xiang, Rong Zhou

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  28. The Promise of 3D Printed Solid Polymer Electrolytes for Developing Sustainable Batteries: A Techno-Commercial Perspective

    International Journal of Precision Engineering and Manufacturing-Green Technology · 2023-08-12

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  29. Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review

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  30. Biomarkers detection using a nanopore integrated with a microfluidic device

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  31. Toward thin and stable anodes for practical lithium metal batteries: A review, strategies, and perspectives

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  32. Sustainability metrics of environmental sustainability in Iranian manufacturing sector: achieving through human resources

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  33. State of Charge Estimation for Commercial Li-Ion Battery Based on Simultaneously Strain and Temperature Monitoring Over Optical Fiber Sensors

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  34. The origins of critical deformations in cylindrical silicon based Li-ion batteries

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  35. Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects

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  36. Smart batteries for powering the future

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  37. Functional Optical Fiber Sensors Detecting Imperceptible Physical/Chemical Changes for Smart Batteries

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  39. Chitosan‐Decorated Alumina Hybrid Nanoparticles as Smart Scavengers of HF and Dissolved Transition Metals in Lithium‐Ion Batteries

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  41. Innovative self-repairing binders tackling degradation and de-lithiation challenges: Structure, mechanism, high energy and durability

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  46. Perspectives and Future Trends Toward Multifunctional Batteries

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  47. Recent status, key strategies and challenging perspectives of smart batteries for next-generation batteries

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  48. Self-healing polymer binders: next-generation battery applications

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  49. Monitoring and control of internal temperature in power batteries: A comprehensive review

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  50. Deep Learning-Driven Molecular Generation and Electrochemical Property Prediction for Optimal Electrolyte Additive Design

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