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

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A rechargeable zinc-air battery based on zinc peroxide chemistry

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Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

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Closed-loop optimization of fast-charging protocols for batteries with machine learning

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The phase stability network of all inorganic materials

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Multi‐Electron Reactions enabled by Anion‐Based Redox Chemistry for High‐Energy Multivalent Rechargeable Batteries

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A nanomaterials discovery robot for the Darwinian evolution of shape programmable gold nanoparticles

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Electrolytes and Interphases in Sodium‐Based Rechargeable Batteries: Recent Advances and Perspectives

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Computational framework for a systematic investigation of anionic redox process in Li-rich compounds

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Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

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A mobile robotic chemist

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Understanding the diversity of the metal-organic framework ecosystem

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Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

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Deep-neural-network solution of the electronic Schrödinger equation

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Operando decoding of chemical and thermal events in commercial Na(Li)-ion cells via optical sensors

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A charge-density-based general cation insertion algorithm for generating new Li-ion cathode materials

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Revealing the complex layered-mosaic structure of the cathode electrolyte interphase in Li-ion batteries

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Evolution of solid electrolyte interphase and active material in the silicon wafer model system

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Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

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‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

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How to explore chemical space using algorithms and automation

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Data-driven prediction of battery cycle life before capacity degradation

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Evaluation of Mg Compounds as Coating Materials in Mg Batteries

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Capturing chemical intuition in synthesis of metal-organic frameworks

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Deep learning and process understanding for data-driven Earth system science

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Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?

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A first-principles phase field method for quantitatively predicting multi-composition phase separation without thermodynamic empirical parameter

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Network analysis of synthesizable materials discovery

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Probing a battery electrolyte drop with ambient pressure photoelectron spectroscopy

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High precision strain monitoring for lithium ion batteries based on fiber Bragg grating sensors

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Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis

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Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation

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The Molecular Industrial Revolution: Automated Synthesis of Small Molecules

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The emerging era of supramolecular polymeric binders in silicon anodes

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Adiabatic and Nonadiabatic Charge Transport in Li–S Batteries

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In situ plasmonic optical fiber detection of the state of charge of supercapacitors for renewable energy storage

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Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

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Controlling an organic synthesis robot with machine learning to search for new reactivity

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Bulk phase behavior of lithium imide–metal nitride ammonia decomposition catalysts

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Inverse molecular design using machine learning: Generative models for matter engineering

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Organic synthesis in a modular robotic system driven by a chemical programming language

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Recent Advances on Self-healing Materials and Batteries

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The atomic simulation environment—a Python library for working with atoms

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Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 2: Internal cell signals and utility for state estimation

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Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 1: Cell embedding method and performance

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Review—SEI: Past, Present and Future

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Sustainability and in situ monitoring in battery development

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Highly elastic binders integrating polyrotaxanes for silicon microparticle anodes in lithium ion batteries

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Understanding materials challenges for rechargeable ion batteries with in situ transmission electron microscopy

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ANI-1, A data set of 20 million calculated off-equilibrium conformations for organic molecules

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Optical Characterization of Commercial Lithiated Graphite Battery Electrodes and in Situ Fiber Optic Evanescent Wave Spectroscopy

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Monitoring the Strain Evolution of Lithium-Ion Battery Electrodes using an Optical Fiber Bragg Grating Sensor

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The FAIR Guiding Principles for scientific data management and stewardship

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FireWorks: a dynamic workflow system designed for high-throughput applications

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Lithium salts for advanced lithium batteries: Li–metal, Li–O2, and Li–S

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Photoelectron Spectroscopy for Lithium Battery Interface Studies

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Economic reasoning and artificial intelligence

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Synthesis of many different types of organic small molecules using one automated process

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Supramolecular Polymeric Materials via Cyclodextrin–Guest Interactions

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TOF SIMS characterization of SEI layer on battery electrodes

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Measurement of the internal cell temperature via impedance: Evaluation and application of a new method

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Real-time temperature measurement with fiber Bragg sensors in lithium batteries for safety usage

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Autonomic restoration of electrical conductivity using polymer-stabilized carbon nanotube and graphene microcapsules

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Tilted fiber Bragg grating sensors

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Density functional theory in surface chemistry and catalysis

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A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries

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