A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+
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Title
A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+
Authors
Keywords
-
Journal
Advanced Energy Materials
Volume -, Issue -, Pages 2102785
Publisher
Wiley
Online
2022-01-21
DOI
10.1002/aenm.202102785
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Note: Only part of the references are listed.- Perspective—Combining Physics and Machine Learning to Predict Battery Lifetime
- (2021) Muratahan Aykol et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Challenges in Ecofriendly Battery Recycling and Closed Material Cycles: A Perspective on Future Lithium Battery Generations
- (2021) Stefan Doose et al. Metals
- Post-lithium-ion battery cell production and its compatibility with lithium-ion cell production infrastructure
- (2021) Fabian Duffner et al. Nature Energy
- On-the-fly assessment of diffusion barriers of disordered transition metal oxyfluorides using local descriptors
- (2021) Jin Hyun Chang et al. ELECTROCHIMICA ACTA
- Toward Better and Smarter Batteries by Combining AI with Multisensory and Self‐Healing Approaches
- (2021) Tejs Vegge et al. Advanced Energy Materials
- Design and Optimization of the Direct Recycling of Spent Li-Ion Battery Cathode Materials
- (2021) Panpan Xu et al. ACS Sustainable Chemistry & Engineering
- Current and future lithium-ion battery manufacturing
- (2021) Yangtao Liu et al. iScience
- Ensemble Surrogate Models for Fast LIB Performance Predictions
- (2021) Marco Quartulli et al. Energies
- Distributed Fiber Optic Sensing to Assess In-Live Temperature Imaging Inside Batteries: Rayleigh and FBGs
- (2021) Jiaqiang HUANG et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Automated mineralogy as a novel approach for the compositional and textural characterization of spent lithium-ion batteries
- (2021) Anna Vanderbruggen et al. MINERALS ENGINEERING
- A Single Magnetic Particle with Nearly Unlimited Encoding Options
- (2021) Stephan Müssig et al. Small
- Battery production design using multi-output machine learning models
- (2021) Artem Turetskyy et al. Energy Storage Materials
- Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols
- (2021) Benben Jiang et al. Joule
- Machine learning approach for systematic analysis of energy efficiency potentials in manufacturing processes: A case of battery production
- (2020) Sebastian Thiede et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Synthesis of Ni-Rich Cathode Material from Maleic Acid-Leachate of Spent Lithium-Ion Batteries
- (2020) Borui Liu et al. ACS Sustainable Chemistry & Engineering
- Self-driving laboratory for accelerated discovery of thin-film materials
- (2020) B. P. MacLeod et al. Science Advances
- Sustainable direct recycling of lithium‐ion batteries via solvent recovery of electrode materials
- (2020) Yaocai Bai et al. ChemSusChem
- Systematic Study of Al Impurity for NCM622 Cathode Materials
- (2020) Ruihan Zhang et al. ACS Sustainable Chemistry & Engineering
- Mitigating the Impact of Thermal Binder Removal for Direct Li-Ion Battery Recycling
- (2020) Bradley J. Ross et al. ACS Sustainable Chemistry & Engineering
- Fast Determination of Lithium Content in Spent Cathodes for Direct Battery Recycling
- (2020) Xuemin Li et al. Advanced Sustainable Systems
- Water-Based Electrode Manufacturing and Direct Recycling of Lithium-Ion Battery Electrodes—A Green and Sustainable Manufacturing System
- (2020) Jianlin Li et al. iScience
- Beyond the Nobel recognition – To a cleaner sustainable future
- (2020) M. Stanley Whittingham JOURNAL OF POWER SOURCES
- Operando decoding of chemical and thermal events in commercial Na(Li)-ion cells via optical sensors
- (2020) Jiaqiang Huang et al. Nature Energy
- Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning
- (2020) Marc Duquesnoy et al. JOURNAL OF POWER SOURCES
- Prospects for lithium-ion batteries and beyond—a 2030 vision
- (2020) Clare P. Grey et al. Nature Communications
- Understanding fundamental effects of Cu impurity in different forms for recovered LiNi0.6Co0.2Mn0.2O2 cathode materials
- (2020) Ruihan Zhang et al. Nano Energy
- Efficient Direct Recycling of Lithium-Ion Battery Cathodes by Targeted Healing
- (2020) Panpan Xu et al. Joule
- Mass load prediction for lithium-ion battery electrode clean production: A machine learning approach
- (2020) Kailong Liu et al. JOURNAL OF CLEANER PRODUCTION
- Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing
- (2020) Alain C. Ngandjong et al. JOURNAL OF POWER SOURCES
- Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures
- (2019) Yuta Suzuki et al. npj Computational Materials
- Analyzing machine learning models to accelerate generation of fundamental materials insights
- (2019) Mitsutaro Umehara et al. npj Computational Materials
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- High-throughput battery materials testing based on test cell arrays and dispense/jet printed electrodes
- (2019) Robert Hahn et al. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS
- Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
- (2019) Alejandro A. Franco et al. CHEMICAL REVIEWS
- Unsupervised machine learning in atomistic simulations, between predictions and understanding
- (2019) Michele Ceriotti JOURNAL OF CHEMICAL PHYSICS
- Accelerated discovery of organic polymer photocatalysts for hydrogen evolution from water through the integration of experiment and theory
- (2019) Yang Bai et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Machine-learning techniques used to accurately predict battery life
- (2019) Maitane Berecibar NATURE
- Genetic algorithms for computational materials discovery accelerated by machine learning
- (2019) Paul C. Jennings et al. npj Computational Materials
- An industrial evaluation of an Industry 4.0 reference architecture demonstrating the need for the inclusion of security and human components
- (2019) Richard Sharpe et al. COMPUTERS IN INDUSTRY
- Unsupervised word embeddings capture latent knowledge from materials science literature
- (2019) Vahe Tshitoyan et al. NATURE
- Semi-supervised machine-learning classification of materials synthesis procedures
- (2019) Haoyan Huo et al. npj Computational Materials
- Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
- (2019) Frank Noé et al. SCIENCE
- Recycling lithium-ion batteries from electric vehicles
- (2019) Gavin Harper et al. NATURE
- XAI—Explainable artificial intelligence
- (2019) David Gunning et al. Science Robotics
- Combined DFT and Differential Electrochemical Mass Spectrometry Investigation of the Effect of Dopants in Secondary Zinc-Air Batteries
- (2018) Steen Lysgaard et al. ChemSusChem
- Design principles for high transition metal capacity in disordered rocksalt Li-ion cathodes
- (2018) Daniil A. Kitchaev et al. Energy & Environmental Science
- The nanoscale structure of the electrolyte–metal oxide interface
- (2018) Hans-Georg Steinrück et al. Energy & Environmental Science
- Application of artificial neural networks in design of lithium-ion batteries
- (2018) Bin Wu et al. JOURNAL OF POWER SOURCES
- High-throughput discovery of organic cages and catenanes using computational screening fused with robotic synthesis
- (2018) R. L. Greenaway et al. Nature Communications
- MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction
- (2018) Julian Feinauer et al. Journal of Computational Science
- In situ plasmonic optical fiber detection of the state of charge of supercapacitors for renewable energy storage
- (2018) Jiajie Lao et al. Light-Science & Applications
- An open experimental database for exploring inorganic materials
- (2018) Andriy Zakutayev et al. Scientific Data
- Current status and challenges for automotive battery production technologies
- (2018) Arno Kwade et al. Nature Energy
- Accelerating the discovery of materials for clean energy in the era of smart automation
- (2018) Daniel P. Tabor et al. Nature Reviews Materials
- Phoenics: A Bayesian Optimizer for Chemistry
- (2018) Florian Häse et al. ACS Central Science
- Chemical shifts in molecular solids by machine learning
- (2018) Federico M. Paruzzo et al. Nature Communications
- Recent Advances on Self-healing Materials and Batteries
- (2018) Hua Wang et al. ChemElectroChem
- Multiscale Simulation Platform Linking Lithium Ion Battery Electrode Fabrication Process with Performance at the Cell Level
- (2017) Alain C. Ngandjong et al. Journal of Physical Chemistry Letters
- Embedded fiber-optic sensing for accurate internal monitoring of cell state in advanced battery management systems part 1: Cell embedding method and performance
- (2017) Ajay Raghavan et al. JOURNAL OF POWER SOURCES
- Multi-Scale Simulation of Heterogeneous Surface Film Growth Mechanisms in Lithium-Ion Batteries
- (2017) Fridolin Röder et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Sustainability and in situ monitoring in battery development
- (2017) C. P. Grey et al. NATURE MATERIALS
- AiiDA: automated interactive infrastructure and database for computational science
- (2016) Giovanni Pizzi et al. COMPUTATIONAL MATERIALS SCIENCE
- Machine-learning-assisted materials discovery using failed experiments
- (2016) Paul Raccuglia et al. NATURE
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
- Self-Protection of Electrochemical Storage Devices via a Thermal Reversible Sol-Gel Transition
- (2015) Hui Yang et al. ADVANCED MATERIALS
- Li-ion battery shut-off at high temperature caused by polymer phase separation in responsive electrolytes
- (2015) Jesse C. Kelly et al. CHEMICAL COMMUNICATIONS
- Commercial and research battery technologies for electrical energy storage applications
- (2015) Jaephil Cho et al. PROGRESS IN ENERGY AND COMBUSTION SCIENCE
- Responsive electrolytes that inhibit electrochemical energy conversion at elevated temperatures
- (2015) Jesse C. Kelly et al. Journal of Materials Chemistry A
- Microencapsulated Carbon Black Suspensions for Restoration of Electrical Conductivity
- (2014) Sen Kang et al. ADVANCED FUNCTIONAL MATERIALS
- Self-healing gels based on constitutional dynamic chemistry and their potential applications
- (2014) Zhao Wei et al. CHEMICAL SOCIETY REVIEWS
- Oxygen Reduction on Pt(111) in Aqueous Electrolyte: Elementary Kinetic Modeling
- (2014) Daniel Eberle et al. ELECTROCHIMICA ACTA
- Microencapsulation of gallium–indium (Ga–In) liquid metal for self-healing applications
- (2014) B. J. Blaiszik et al. JOURNAL OF MICROENCAPSULATION
- Self-healing polymeric materials
- (2013) Ying Yang et al. CHEMICAL SOCIETY REVIEWS
- Examining temporal and spatial variations of internal temperature in large-format laminated battery with embedded thermocouples
- (2013) Zhe Li et al. JOURNAL OF POWER SOURCES
- Dendrite-Free Lithium Deposition via Self-Healing Electrostatic Shield Mechanism
- (2013) Fei Ding et al. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
- Self-healing chemistry enables the stable operation of silicon microparticle anodes for high-energy lithium-ion batteries
- (2013) Chao Wang et al. Nature Chemistry
- Role of Polysulfides in Self-Healing Lithium-Sulfur Batteries
- (2013) Rui Xu et al. Advanced Energy Materials
- The Catalyst Genome
- (2012) Jens K. Nørskov et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Autonomic restoration of electrical conductivity using polymer-stabilized carbon nanotube and graphene microcapsules
- (2012) Susan A. Odom et al. APPLIED PHYSICS LETTERS
- An electrically and mechanically self-healing composite with pressure- and flexion-sensitive properties for electronic skin applications
- (2012) Benjamin C-K. Tee et al. Nature Nanotechnology
- “In-operando” neutron scattering studies on Li-ion batteries
- (2011) A. Senyshyn et al. JOURNAL OF POWER SOURCES
- Liquid Metal Alloys as Self-Healing Negative Electrodes for Lithium Ion Batteries
- (2011) Rutooj D. Deshpande et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Restoration of Conductivity with TTF-TCNQ Charge-Transfer Salts
- (2010) Susan A. Odom et al. ADVANCED FUNCTIONAL MATERIALS
- Self-healing biomaterials
- (2010) Alice B. W. Brochu et al. JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A
- Self-healing and thermoreversible rubber from supramolecular assembly
- (2008) Philippe Cordier et al. NATURE
- Mendable polymers
- (2007) Sheba D. Bergman et al. JOURNAL OF MATERIALS CHEMISTRY
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