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RESEARCH PAPER · Advanced Energy Materials · 2021

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

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Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and ChemistriesOriginalAccelerating Battery Characterization Using Neutron and Synchrotron Techniques: Toward a Multi‐Modal and Multi‐Scale Standardized Experimental Workflow62Interfaces in all solid state Li-metal batteries: A review on instabilities, stabilization strategies, and scalability102Unsupervised machine learning to classify crystal structures according to their structural distortion: A case study on Li-argyrodite solid-state electrolytes11From materials discovery to system optimization by integrating combinatorial electrochemistry and data science37Gaussian process sensitivity analysis of a capacityfade model for lithium-ion batteries0Brokering between tenants for an international materials acceleration platform5Untangling Degradation Chemistries of Lithium‐Sulfur Batteries Through Interpretable Hybrid Machine Learning20Untangling Degradation Chemistries of Lithium‐Sulfur Batteries Through Interpretable Hybrid Machine Learning56Predicting Electrolyte Conductivity Directly from Molecular-Level Interactions21Sensitivity analysis methodology for battery degradation models34Mg/Zn metal‐air primary batteries using silk fibroin‐ionic liquid polymer electrolytes4Recent Advances in Conduction Mechanisms, Synthesis Methods, and Improvement Strategies for Li 1+ x Al x Ti 2− x (PO 4 ) 3 Solid Electrolyte for All‐Solid‐State Lithium Batteries85Materials funnel 2.0 – data-driven hierarchical search for exploration of vast chemical spaces4Multielement Co-Doped Carbon Derived from Spent LIBs Boosts Potassium Storage5Real-time nondestructive methods for examining battery electrode materials19Composites of metal-organic frameworks (MOFs) and LDHs for energy storage and environmental applications: Fundamentals, progress, and perspectives35Brokering between tenants for an international materials acceleration platform46Computational Design of Antiperovskite Solid Electrolytes35Nanosecond MD of battery cathode materials with electron density description8Optimizing Current Collector Interfaces for Efficient “Anode‐Free” Lithium Metal Batteries136Machine learning guided development of high-performance nano-structured nickel electrodes for alkaline water electrolysis6Electrolyte-Electrode Interfaces: A Review of Computer Simulations3Introduction: Battery Materials: Bringing It All Together for Tomorrow’s Energy Storage Needs0OM-Diff: inverse-design of organometallic catalysts with guided equivariant denoising diffusion19Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects55Nonlinear Potentiodynamic Battery Charging Protocols for Fun, Education, and Application4Functional Optical Fiber Sensors Detecting Imperceptible Physical/Chemical Changes for Smart Batteries52Battery health management—a perspective of design, optimization, manufacturing, fault detection, and recycling34Multiscale modeling for enhanced battery health analysis: Pathways to longevity45Attention towards chemistry agnostic and explainable battery lifetime prediction24Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries48Self-Driving Laboratories for Chemistry and Materials Science674Elucidating the role of multi-scale microstructures in Li7La3Zr2O12 based all-solid-state lithium batteries26Materials Acceleration Platforms (MAPs): Accelerating Materials Research and Development to Meet Urgent Societal Challenges80Setting the standard for machine learning in phase field prediction: a benchmark dataset and baseline metrics11Sparse Gaussian process based machine learning first principles potentials for materials simulations: Application to batteries, solar cells, catalysts, and macromolecular systems30Integrating artificial intelligence in energy transition: A comprehensive review248Lithium based battery systems: technological and environmental challenges and opportunities20Low-temperature sodium-ion batteries: challenges, engineering strategies, safety considerations, and future directions27State-of-The-Art Reviews to Develop Lithium-ion Batteries for Electric Vehicles0Sustainable Extraction of Critical Minerals from Waste Batteries: A Green Solvent Approach in Resource Recovery31Role of artificial intelligence in the design and discovery of next-generation battery electrolytes29Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling1A sparse Bayesian Committee Machine potential for oxygen-containing organic compounds9Science acceleration and accessibility with self-driving labs83Bridging AI with Product Safety: A Compliance Framework for Battery Storage and Energy Technologies0Data-Driven Strategies for Next-Generation Aviation Batteries: Improving Energy Density and Cycle Stability in Electric Propulsion Systems0Integrating AI into OLED material design: a comprehensive review of computational frameworks, challenges, and opportunities16AI-augmented electrochemical model for lithium-ion battery: Recent advances and perspectives24Designing AI-powered user-centric platforms for energy consumption and carbon footprint reduction3Cognitive AI beyond prediction: toward reasoning and discovery1Life Cycle Assessment of Solid-State Batteries with AI-Enhanced Predictive and Recycling Models0AI‐Driven Big Data Frameworks for Electrode–Electrolyte Interphases in Batteries28Smoothing S8 redox conversions in lean ester electrolytes by nucleophilic shielding and polar ZnS electrovalent mediation: Toward near-practical S cathodes1Electrolyte design for aqueous batteries30Assessing Organizational Readiness for AI Integration2Machine-learning interatomic potentials for interfaces in all-solid-state batteries: Perspectives on training data, model selection, and validation4Enhanced multi-tuple extraction for materials: integrating pointer networks and augmented attention0LDH/MOF composites: Synthesis, structural engineering and applications in energy and environment sectors3Sustainable energy storage solutions using nanomaterials: bridging the gap between policy and technology in Italy0Heterointerfaces beyond conductivity: An evidence-guided framework for multiscale coordination in metal sulfide anodes for sodium-ion batteries0Multidimensional Nanostructure Engineering in Practical Lithium‐sulfur Batteries0Quantum-mechanical descriptors and machine learning for energy materials: a proof-of-concept computational framework0Polymer electrolyte solid-state lithium batteries beyond 500 Wh kg−1: challenges and advances0Artificial intelligence driven lithium-ion battery recycling: from materials recovery to intelligent circular energy systems0

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