A rechargeable zinc-air battery based on zinc peroxide chemistry

Sun, Wei; Wang, Fei; Bao, Zhenan; Zhang, Mingjie; Küpers, Verena; Ji, Xiao; Theile, Claudia; Bieker, Peter; Xu, Kang; Wang, Chunsheng; Winter, Martin

doi:10.1126/science.abb9554

Cited by 673 publications

(487 citation statements)

References 68 publications

(32 reference statements)

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“…Molecular polarity index (MPI) obtained from the electrostatic potential calculated at the quantum chemistry level has also been proposed to correlate with the ion hydrophilicity, the larger value of the MPI corresponding to a more hydrophilic character. 20 Results obtained for MPI computed for the different anions are shown on Figure 4. Here again, it is clear that this descriptor is not able to catch differences between the Br -, NO3 -, Iand ClO4since they all display very similar MPIs.…”

Section: Probing the Influence Of The Anion Hydrophobicity Using Gas Phase Dft Calculationsmentioning

confidence: 99%

Anion Specific Effects Drive the Formation of Li-Salt Based Aqueous Biphasic Systems

et al. 2021

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Aqueous biphasic systems (ABS) can form when mixing water with two compounds such as polymers, ionicliquids or simple salts. While this phenomenon has been known for decades and found applications in various fields such as biology, recycling or even more recently electrochemistry, the physics behind the formation of ABSs remains ill-understood. It was recently demonstrated that ABSs can be composed of two salts sharing the same cation (Li + ) but different anions (sulfonamide and halide). Interestingly, their formation could not be explained by the position of the anions within the chaotropic/kosmotropic series and was rather proposed to originate from an anion size mismatch, albeit the size for these anions was never measured yet owing to the lack of a proper experimental methodology. Here, we combine experimental techniques and molecular simulations to assess the specific effects (size, shape, hydrophobic/hydrophilic character) of a series of anions and correlate them with the formation of ABSs. We demonstrate that while the anion size mismatch is a prerequisite for the formation of Li-salts based ABSs, their shape can also play an important role, providing general guidelines for forming new ABSs with potential future applications.

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Section: Probing the Influence Of The Anion Hydrophobicity Using Gas Phase Dft Calculationsmentioning

confidence: 99%

Anion Specific Effects Drive the Formation of Li-Salt Based Aqueous Biphasic Systems

et al. 2021

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“…The zinc-air battery has been regarded as an ideal energy storage technology with attractive advantages of low cost, safety, and zero pollution. [1][2][3][4][5][6][7][8][9][10] For the rechargeable Zn-air battery, bifunctional electrocatalysts on air electrode for oxygen reduction/evolution reaction (ORR/OER) are urgently needed due to current drawbacks. Precious metal based catalysts (such as Pt/C and RuO 2 ) are expensive, while low-cost transition-metal-based catalysts still does not meet commercial requirements.…”

mentioning

confidence: 99%

Highly Curved Nanostructure‐Coated Co, N‐Doped Carbon Materials for Oxygen Electrocatalysis

et al. 2021

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Nitrogen-doped graphene could catalyze the electrochemical reduction and evolution of oxygen, but unfortunately suffers from sluggish catalytic kinetics. Herein, for the first time, we report an onion-like carbon coated Co, N-doped carbon (OLC/Co-N-C) material, which possesses multilayers of highly curved nanostructures that form mesoporous architectures. These unique nanospheres are produced when surfactant micelles are introduced to synthesis precursors. Owing to the combined electronic effect and nanostructuring effect, our OLC/Co-N-C materials exhibit high bifunctional oxygen reduction/evolution reaction (ORR/OER) activity, showing a promising application in rechargeable Zn-air batteries. Experimental results are rationalized by theoretical calculations, showing that the curvature of graphitic carbon plays a vital role in promoting activities of meta-carbon atoms near graphitic N and ortho/meta carbon atoms close to pyridinic N.

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“…A holistic modular and chemistry neutral approach, integrating all the critical elements outlined above: BIG-MAP, operando interface monitoring, multisensory techniques, and self-healing, coupled with high-throughput syntheses experiments, manufacturability and recyclability by design, will enable accelerated discovery and development of next generation of ultra-high performant and smart batteries. Irrespectively, concentrating the research and industrial development on "the nearest in time chemistries" foreseen, as formulated in the European SET-Plan action 7 [125] for the transport sector, or other battery chemistries further away in the development expectations, [3] a closed-loop discovery cycle dependent on the fast development of data-driven and datacentric tools and approaches including autonomous synthesis robotics [59] and faster and more accurate high-throughput characterization methods will be a prerequisite. In BATTERY 2030+ and BIG-MAP, the focus on decomposing, controlling, and engineering the interfaces in different batteries have a special attention.…”

Section: Perspectivesmentioning

confidence: 99%

“…

The concurrent transformations of the automotive sector toward e-mobility and the applicability of data-driven approaches in science and energy technology, [1] provides a synergistic opportunity to accelerate the battery discovery and manufacturing processes and to optimize the performance and lifetime of battery cells. [2] As new high-performance battery materials, chemistries, and cell designs emerge to compete with existing Li-ion batteries, [3] they face a common challenge in controlling the complex dynamic processes occurring at battery interfaces, which span a multitude of time-and length scales. [4] Developing a versatile and chemistry neutral infrastructure that is capable of monitoring, predicting, and controlling the dynamic properties and evolution of these interfaces and interphases like the solidelectrolyte interphase (SEI), is a cornerstone of the long-term roadmap of the large-scale European initiative BATTERY 2030+ [5] and the BIG-MAP project in particular.

…”

mentioning

confidence: 99%

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

Vegge¹,

Tarascon

Edström

2021

Advanced Energy Materials

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With an exponentially growing demand for rechargeable batteries, the development of new ultra‐performant, fully scalable, and sustainable battery technologies and materials must be accelerated. Creating a holistic, closed‐loop infrastructure for materials discovery, manufacturing, and battery testing that utilizes a common data infrastructure and autonomous workflows to bridge big data from all domains of the battery value chain, can pave the way for a transformative reduction in the required time to discovery. By embedding multisensory and self‐healing capabilities in future battery technologies and integrating these with AI and physics‐aware machine learning models capable of predicting the spatio‐temporal evolution of battery materials and interfaces, it will, in time, be possible to identify, predict and prevent potential degradation and failure modes. This will facilitate enhanced battery quality, reliability, and life, for example, by preemptively changing the battery charging conditions or releasing self‐healing additives from the separator membrane, akin to preemptive medicine, and form the basis for inverse design of new battery materials, interfaces, and additives. The large‐scale and long‐term European research initiative BATTERY 2030+ seeks to make this longer‐than ten‐year vision a reality through the development of a versatile and chemistry neutral “Battery Interface Genome—Materials Acceleration Platform” infrastructure (BIG‐MAP).

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A rechargeable zinc-air battery based on zinc peroxide chemistry

Cited by 673 publications

References 68 publications

Anion Specific Effects Drive the Formation of Li-Salt Based Aqueous Biphasic Systems

Anion Specific Effects Drive the Formation of Li-Salt Based Aqueous Biphasic Systems

Highly Curved Nanostructure‐Coated Co, N‐Doped Carbon Materials for Oxygen Electrocatalysis

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

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