相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Lithium ion battery electrode manufacturing model accounting for 3D realistic shapes of active material particles
Jiahui Xu et al.
JOURNAL OF POWER SOURCES (2023)
An experimentally-validated 3D electrochemical model revealing electrode manufacturing parameters? effects on battery performance
Chaoyue Liu et al.
ENERGY STORAGE MATERIALS (2023)
Fast charging design for Lithium-ion batteries via Bayesian optimization
Benben Jiang et al.
APPLIED ENERGY (2022)
From Materials to Cell: State-of-the-Art and Prospective Technologies for Lithium-Ion Battery Electrode Processing
Jianlin Li et al.
CHEMICAL REVIEWS (2022)
Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities
Elixabete Ayerbe et al.
ADVANCED ENERGY MATERIALS (2022)
Deconvoluting the impacts of the active material skeleton and the inactive phase morphology on the performance of lithium ion battery electrodes
Mehdi Chouchane et al.
ENERGY STORAGE MATERIALS (2022)
Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo et al.
CHEMICAL REVIEWS (2022)
Bayesian optimization for chemical products and functional materials
Ke Wang et al.
CURRENT OPINION IN CHEMICAL ENGINEERING (2022)
Functional data-driven framework for fast forecasting of electrode slurry rheology simulated by molecular dynamics
Marc Duquesnoy et al.
NPJ COMPUTATIONAL MATERIALS (2022)
Designing electrode architectures to facilitate electrolyte infiltration for lithium-ion batteries
Abbos Shodiev et al.
ENERGY STORAGE MATERIALS (2022)
Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence
Mona Faraji Niri et al.
ENERGY AND AI (2022)
Experimentally Validated Three-Dimensional Modeling of Organic-Based Sodium-Ion Battery Electrode Manufacturing
Teo Lombardo et al.
BATTERIES & SUPERCAPS (2022)
A methodology to generate design allowables of composite laminates using machine learning
C. Furtado et al.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2021)
Early prediction of remaining useful life for Lithium-ion batteries based on a hybrid machine learning method
Zheming Tong et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Towards a 3D-resolved model of Si/Graphite composite electrodes from manufacturing simulations
Chaoyue Liu et al.
JOURNAL OF POWER SOURCES (2021)
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
Alain C. Ngandjong et al.
JOURNAL OF POWER SOURCES (2021)
Carbon-Binder Migration: A Three-Dimensional Drying Model for Lithium-ion Battery Electrodes
Teo Lombardo et al.
ENERGY STORAGE MATERIALS (2021)
Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning
Yu-Ting Chen et al.
ACS ENERGY LETTERS (2021)
Current and future lithium-ion battery manufacturing
Yangtao Liu et al.
ISCIENCE (2021)
Multi-objective design optimization of battery thermal management system for electric vehicles
Shaosen Su et al.
APPLIED THERMAL ENGINEERING (2021)
Battery production design using multi-output machine learning models
Artem Turetskyy et al.
ENERGY STORAGE MATERIALS (2021)
Insight on electrolyte infiltration of lithium ion battery electrodes by means of a new three-dimensional-resolved lattice Boltzmann model
Abbos Shodiev et al.
ENERGY STORAGE MATERIALS (2021)
Direct Recycling R&D at the ReCell Center
Linda Gaines et al.
RECYCLING (2021)
ENHANCING ACCURACY OF DEEP LEARNING ALGORITHMS BY TRAINING WITH LOW-DISCREPANCY SEQUENCES
Siddhartha Mishra et al.
SIAM JOURNAL ON NUMERICAL ANALYSIS (2021)
Advances of polymer binders for silicon-based anodes in high energy density lithium-ion batteries
Yu-Ming Zhao et al.
INFOMAT (2021)
Application of Bayesian Optimization for Pharmaceutical Product Development
Syusuke Sano et al.
JOURNAL OF PHARMACEUTICAL INNOVATION (2020)
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
Yuqian Lu et al.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2020)
Gigafactory Logistics in Space and Time: Tesla's Fourth Gigafactory and Its Rivals
Philip Cooke
SUSTAINABILITY (2020)
Advanced machine-learning techniques in drug discovery
Moe Elbadawi et al.
DRUG DISCOVERY TODAY (2020)
Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning
Marc Duquesnoy et al.
JOURNAL OF POWER SOURCES (2020)
Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies
Ricardo Pinto Cunha et al.
BATTERIES & SUPERCAPS (2020)
Accelerated Optimization Methods for Force-Field Parametrization in Battery Electrode Manufacturing Modeling
Teo Lombardo et al.
BATTERIES & SUPERCAPS (2020)
Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?
Alejandro A. Franco et al.
CHEMICAL REVIEWS (2019)
Fast Charging Lithium Batteries: Recent Progress and Future Prospects
Gao-Long Zhu et al.
SMALL (2019)
Balancing exploration and exploitation in multiobjective evolutionary optimization
Hu Zhang et al.
INFORMATION SCIENCES (2019)
Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance
Mehdi Chouchane et al.
JOURNAL OF POWER SOURCES (2019)
A Wide Range of Testing Results on an Excellent Lithium-Ion Cell Chemistry to be used as Benchmarks for New Battery Technologies
Jessie E. Harlow et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2019)
Designs of Experiments for Beginners-A Quick Start Guide for Application to Electrode Formulation
Olivier Rynne et al.
BATTERIES-BASEL (2019)
30 Years of Lithium-Ion Batteries
Matthew Li et al.
ADVANCED MATERIALS (2018)
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization
Tinkle Chugh et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)
Process modeling of the electrode calendering of lithium-ion batteries regarding variation of cathode active materials and mass loadings
Chris Meyer et al.
JOURNAL OF ENERGY STORAGE (2018)
Review-Dynamic Models of Li-Ion Batteries for Diagnosis and Operation: A Review and Perspective
Ulrike Krewer et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)
Mesoscale Analysis of Conductive Binder Domain Morphology in Lithium-Ion Battery Electrodes
Bradley L. Trembacki et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2018)
Neuroadaptive Bayesian Optimization and Hypothesis Testing
Romy Lorenz et al.
TRENDS IN COGNITIVE SCIENCES (2017)
Tortuosity Determination of Battery Electrodes and Separators by Impedance Spectroscopy
Johannes Landesfeind et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2016)
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Bobak Shahriari et al.
PROCEEDINGS OF THE IEEE (2016)
Multi-objective optimization of demand response in a datacenter with lithium-ion battery storage
A. Mamun et al.
JOURNAL OF ENERGY STORAGE (2016)
Morphology of nanoporous carbon-binder domains in Li-ion batteries-A FIB-SEM study
Severin Vierrath et al.
ELECTROCHEMISTRY COMMUNICATIONS (2015)
Prospects for reducing the processing cost of lithium ion batteries
David L. Wood et al.
JOURNAL OF POWER SOURCES (2015)
Thermodynamic derivation of a Butler-Volmer model for intercalation in Li-ion batteries
Arnulf Latz et al.
ELECTROCHIMICA ACTA (2013)
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
Anthony Barre et al.
JOURNAL OF POWER SOURCES (2013)
Software components for parallel multiscale simulation: an example with LAMMPS
Benjamin FrantzDale et al.
ENGINEERING WITH COMPUTERS (2010)
Sure independence screening for ultrahigh dimensional feature space
Jianqing Fan et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)
Deterministic design for neural network learning: An approach based on discrepancy
C Cervellera et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2004)