Machine learning assisted synthesis of lithium-ion batteries cathode materials

Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

(2021) Seungbum Hong et al.   ACS Nano

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

(2020) Peter M. Attia et al.   NATURE

Topology-Based Machine Learning Strategy for Cluster Structure Prediction

(2020) Xin Chen et al.   Journal of Physical Chemistry Letters

3D microstructure design of lithium-ion battery electrodes assisted by X-ray nano-computed tomography and modelling

(2020) Xuekun Lu et al.   Nature Communications

Self-driving laboratory for accelerated discovery of thin-film materials

(2020) B. P. MacLeod et al.   Science Advances

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries

(2019) Rajendra P. Joshi et al.   ACS Applied Materials & Interfaces

Unsupervised word embeddings capture latent knowledge from materials science literature

(2019) Vahe Tshitoyan et al.   NATURE

Optimized electrochemical performance of Ni rich LiNi0.91Co0.06Mn0.03O2 cathodes for high-energy lithium ion batteries

(2019) Seung-Hwan Lee et al.   Scientific Reports

Semi-supervised machine-learning classification of materials synthesis procedures

(2019) Haoyan Huo et al.   npj Computational Materials

Machine learning enables polymer cloud-point engineering via inverse design

(2019) Jatin N. Kumar et al.   npj Computational Materials

Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study

(2019) Marietta Kokla et al.   BMC BIOINFORMATICS

Text-mined dataset of inorganic materials synthesis recipes

(2019) Olga Kononova et al.   Scientific Data

Machine Learning Assisted Synthesis of Metal–Organic Nanocapsules

(2019) Yunchao Xie et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Designing principle for Ni-rich cathode materials with high energy density for practical applications

(2018) Yu Xia et al.   Nano Energy

NOMAD: The FAIR concept for big data-driven materials science

(2018) Claudia Draxl et al.   MRS BULLETIN

Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials

(2018) Kyoungmin Min et al.   Scientific Reports

Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials

(2018) Austin D. Sendek et al.   CHEMISTRY OF MATERIALS

Achieving high capacity and rate capability in layered lithium transition metal oxide cathodes for lithium-ion batteries

(2017) Juhyeon Ahn et al.   JOURNAL OF POWER SOURCES

Oxygen Release and Its Effect on the Cycling Stability of LiNi x Mn y Co z O 2 (NMC) Cathode Materials for Li-Ion Batteries

(2017) Roland Jung et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

Random forest missing data algorithms

(2017) Fei Tang et al.   Statistical Analysis and Data Mining

Nearest neighbor imputation algorithms: a critical evaluation

(2016) Lorenzo Beretta et al.   BMC Medical Informatics and Decision Making

Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data

(2016) Yi Deng et al.   Scientific Reports

Li-ion battery materials: present and future

(2015) Naoki Nitta et al.   Materials Today

Influence of temperature and upper cut-off voltage on the formation of lithium-ion cells

(2014) Florian German et al.   JOURNAL OF POWER SOURCES

Facile synthesis and performances of nanosized Li2TiO3-based shell encapsulated LiMn1/3Ni1/3Co1/3O2 microspheres

(2014) Xiukang Yang et al.   Journal of Materials Chemistry A

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

(2013) Anubhav Jain et al.   APL Materials

AFLOW: An automatic framework for high-throughput materials discovery

(2012) Stefano Curtarolo et al.   COMPUTATIONAL MATERIALS SCIENCE

Multiple imputation by chained equations: what is it and how does it work?

(2011) Melissa J. Azur et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory

(2010) Geoffroy Hautier et al.   CHEMISTRY OF MATERIALS

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

(2009) Bjoern H Menze et al.   BMC BIOINFORMATICS

Minimization of the cation mixing in Li1+x(NMC)1−xO2 as cathode material

(2009) Xiaoyu Zhang et al.   JOURNAL OF POWER SOURCES