Cargando…

Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning

[Image: see text] Despite today’s commercial-scale graphene production using chemical vapor deposition (CVD), the growth of high-quality single-layer graphene with controlled morphology and crystallinity remains challenging. Considerable effort is still spent on designing improved CVD catalysts for...

Descripción completa

Detalles Bibliográficos
Autores principales:	Li, Xinyu, Shi, Javen Qinfeng, Page, Alister J.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2023
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636790/ https://www.ncbi.nlm.nih.gov/pubmed/37890870 http://dx.doi.org/10.1021/acs.nanolett.3c02496

Ejemplares similares

Improved genomic prediction using machine learning with Variational Bayesian sparsity
por: Yan, Qingsen, et al.
Publicado: (2023)

Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction
por: Wan, Xuhao, et al.
Publicado: (2022)

Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys
por: Wang, Yafei, et al.
Publicado: (2022)

Decoding enhancer complexity with machine learning and high-throughput discovery
por: Smith, Gabrielle D., et al.
Publicado: (2023)

Reduced Graphene Oxide-Supported Iron-Cobalt Alloys as High-Performance Catalysts for Oxygen Reduction Reaction
por: Dong, Jun, et al.
Publicado: (2023)

A High Throughput and Unbiased Machine Learning Approach for Classification of Graphene Dispersions
por: Abedin, Md. Joynul, et al.
Publicado: (2020)

Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments
por: Ren, Fang, et al.
Publicado: (2018)

MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning
por: Buterez, David, et al.
Publicado: (2023)

Applications of Machine Learning in Alloy Catalysts: Rational Selection and Future Development of Descriptors
por: Yang, Ze, et al.
Publicado: (2022)

Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening
por: Tang, Yifeng, et al.
Publicado: (2023)

Machine learning meets volcano plots: computational discovery of cross-coupling catalysts
por: Meyer, Benjamin, et al.
Publicado: (2018)

High-performance yttrium-iron alloy doped Pt-free catalysts on graphene for hydrogen evolution
por: Zhu, Pengcheng, et al.
Publicado: (2018)

Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations
por: Gao, Jianbao, et al.
Publicado: (2023)

Crystalline Ni(3)C as both carbon source and catalyst for graphene nucleation: a QM/MD study
por: Jiao, Menggai, et al.
Publicado: (2015)

Material Discovery and High Throughput Exploration of Ru Based Catalysts for Low Temperature Ammonia Decomposition
por: McCullough, Katherine, et al.
Publicado: (2020)

Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screening
por: Honrao, Shreyas J., et al.
Publicado: (2021)

High-throughput microbial culturomics using automation and machine learning
por: Huang, Yiming, et al.
Publicado: (2023)

A machine learning model trained on a high-throughput antibacterial screen increases the hit rate of drug discovery
por: Rahman, A. S. M. Zisanur, et al.
Publicado: (2022)

Machine learning discovery of high-temperature polymers
por: Tao, Lei, et al.
Publicado: (2021)

Design of high bulk moduli high entropy alloys using machine learning
por: Kandavalli, Manjunadh, et al.
Publicado: (2023)

A high-throughput drug discovery pipeline to optimize kidney normothermic machine perfusion
por: Hofmann, Smilla, et al.
Publicado: (2022)

Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
por: Wang, Gang, et al.
Publicado: (2023)

Highly efficient decomposition of ammonia using high-entropy alloy catalysts
por: Xie, Pengfei, et al.
Publicado: (2019)

Observing Graphene Grow: Catalyst–Graphene Interactions during Scalable Graphene Growth on Polycrystalline Copper
por: Kidambi, Piran R., et al.
Publicado: (2013)

In Situ Graphene Growth Dynamics on Polycrystalline Catalyst Foils
por: Weatherup, Robert S., et al.
Publicado: (2016)

Toward machine learning-enhanced high-throughput experimentation for chemistry
por: Callaghan, Sarah
Publicado: (2021)

High-Throughput Screening for Biomarker Discovery
por: Janvilisri, Tavan, et al.
Publicado: (2015)

Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
por: Zhao, Yicheng, et al.
Publicado: (2021)

Microfluidic High-Throughput Platforms for Discovery of Novel Materials
por: Zhou, Peipei, et al.
Publicado: (2020)

Materials Discovery With Machine Learning and Knowledge Discovery
por: Oliveira, Osvaldo N., et al.
Publicado: (2022)

Miniaturized drug discovery and high throughput microarrays for biological discovery
por: Diamond, Scott L.
Publicado: (2006)

Discovery of senolytics using machine learning
por: Smer-Barreto, Vanessa, et al.
Publicado: (2023)

Predicting material properties by integrating high-throughput experiments, high-throughput ab-initio calculations, and machine learning
por: Iwasaki, Yuma, et al.
Publicado: (2020)

Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence
por: Foppa, Lucas, et al.
Publicado: (2022)

High-throughput design of high-performance lightweight high-entropy alloys
por: Feng, Rui, et al.
Publicado: (2021)

Machine learning for chemical discovery
por: Tkatchenko, Alexandre
Publicado: (2020)

SNP discovery by high-throughput sequencing in soybean
por: Wu, Xiaolei, et al.
Publicado: (2010)

Polymer Microarrays for High Throughput Discovery of Biomaterials
por: Hook, Andrew L., et al.
Publicado: (2012)

High throughput molecular dynamics for drug discovery
por: Stanley, Nathaniel, et al.
Publicado: (2015)

High-throughput discovery of novel developmental phenotypes
por: Dickinson, Mary E., et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_r92qrbdpn2g3m30ki65jcomcth