Self-Healing materials–A review

Jayabalakrishnan, D.; Muruga, D.B. Naga; Bhaskar, K.; Pavan, P.; Balaji, Kavitha; Rajakumar, Perumal; Priya, C.; Deepa, R.A.B.; Sendilvelan, S.; Prabhahar, M.

doi:10.1016/j.matpr.2021.02.415

Cited by 29 publications

(18 citation statements)

References 26 publications

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“…Degradation of inactive components, such as corrosion of current collectors, degradation of binder, decomposition of conductive additives, and loss of integration in the separator, should be considered in the engineering step of battery cells. [ 108–111 ]…”

Section: Ai For Advanced Sensing and Self‐healingmentioning

confidence: 99%

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

Bhowmik¹,

Berecibar

Casas‐Cabanas

et al. 2021

Advanced Energy Materials

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BATTERY 2030+ targets the development of a chemistry neutral platform for accelerating the development of new sustainable high-performance batteries.Here, a description is given of how the AI-assisted toolkits and methodologies developed in BATTERY 2030+ can be transferred and applied to representative examples of future battery chemistries, materials, and concepts. This perspective highlights some of the main scientific and technological challenges facing emerging low-technology readiness level (TRL) battery chemistries and concepts, and specifically how the AI-assisted toolkit developed within BIG-MAP and other BATTERY 2030+ projects can be applied to resolve these. The methodological perspectives and challenges in areas like predictive long time-and length-scale simulations of multi-species systems, dynamic processes at battery interfaces, deep learned multi-scaling and explainable AI, as well as AI-assisted materials characterization, self-driving labs, closed-loop optimization, and AI for advanced sensing and self-healing are introduced. A description is given of tools and modules can be transferred to be applied to a select set of emerging low-TRL battery chemistries and concepts covering multivalent anodes, metalsulfur/oxygen systems, non-crystalline, nano-structured and disordered systems, organic battery materials, and bulk vs. interface-limited batteries.

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Section: Ai For Advanced Sensing and Self‐healingmentioning

confidence: 99%

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

Bhowmik¹,

Berecibar

Casas‐Cabanas

et al. 2021

Advanced Energy Materials

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“…Self‐healing in materials science is a relatively new research direction with some examples such as self‐healing fiber‐reinforced polymer composites, self‐healing coatings, self‐healing cementitious materials, self‐healing ceramics, self‐healing organic dyes, self‐healing concrete molecules [ 145–148 ] and with known examples developed for different battery chemistries summarized in recent comprehensive review papers. [ 149,150 ] A research direction of the Battery 2030+ is well explained in the original roadmap [4] and the new roadmap paper by Edström et al in this issue.…”

Section: Introductionmentioning

confidence: 99%

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

Fichtner

Edström

Ayerbe

et al. 2021

Advanced Energy Materials

190

110

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The development of new batteries has historically been achieved through discovery and development cycles based on the intuition of the researcher, followed by experimental trial and error—often helped along by serendipitous breakthroughs. Meanwhile, it is evident that new strategies are needed to master the ever‐growing complexity in the development of battery systems, and to fast‐track the transfer of findings from the laboratory into commercially viable products. This review gives an overview over the future needs and the current state‐of‐the art of five research pillars of the European Large‐Scale Research Initiative BATTERY 2030+, namely 1) Battery Interface Genome in combination with a Materials Acceleration Platform (BIG‐MAP), progress toward the development of 2) self‐healing battery materials, and methods for operando, 3) sensing to monitor battery health. These subjects are complemented by an overview over current and up‐coming strategies to optimize 4) manufacturability of batteries and efforts toward development of a circular battery economy through implementation of 5) recyclability aspects in the design of the battery.

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“… 2 , 8 , 17 However, most of the SHMs with dynamic covalent bonds need external stimuli (such as light, heat, and pH change) to accelerate the repair rate. 18 In comparison, noncovalent bonding interactions with self-healing ability involving host–guest interactions, metal–ligand coordination, hydrogen bonds, π–π stacking interactions, electrostatic interactions, dipole–dipole interactions, and van der Waals forces ( Figure 3 ) 14 usually have a lower kinetic stability and a reversible process of dissociation and generation without huge energy consumption. By modification of the types of reversible dynamic bonds and the mobility of chains, the self-healing conditions, efficiency, and the modulus and liquidity of the related polymer can be regulated and optimized.…”

Section: Brief Introduction Of Intrinsic Shmsmentioning

confidence: 99%

“…Moreover, the intrinsic SHMs are more reliable and durable due to the recombination and reconstruction of intrinsic reversible dynamic bonds. 18 Moving forward, various ideas based on intrinsic self-healing behavior have appeared in numerous fields, and we mainly focus on the advances in intrinsic SHMs. In 2008, Leibler et al first employed the intrinsic self-healing methodology into a supramolecular material, which could be associated together to generate chains and cross-linked networks via reversible dynamic hydrogen bonds.…”

Section: Brief Introduction Of Intrinsic Shmsmentioning

confidence: 99%

Recent Advances of Self-Healing Electronic Materials Applied in Organic Field-Effect Transistors

2022

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Self-healing materials play an essential role in the field of organic electronics with numerous stunning applications such as novel integrated and wearable devices. With the development of stretchable, printable, and implantable electronics, organic field-effect transistors (OFETs) with a self-healable capability are becoming increasingly important both academically and industrially. However, the related research work is still in the initial stage due to the challenges in developing robust self-healing electronic materials with both electronic and mechanical properties. In this mini-review, we have summarized the recent research progress in self-healing materials used in OFETs from conductor, semiconductor, and insulator materials. Moreover, the relationship between the material design and device performance for self-healing properties is also further discussed. Finally, the primary challenges and outlook in this field are introduced. We believe that the review will shed light on the development of self-healing electronic materials for application in OFETs.

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Self-Healing materials–A review

Cited by 29 publications

References 26 publications

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

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

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

Recent Advances of Self-Healing Electronic Materials Applied in Organic Field-Effect Transistors

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