Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

Towards standardisation of contact and contactless electrical measurements of CVD graphene at the macro-, micro- and nano-scale

(2020) Christos Melios et al.   Scientific Reports

Raman spectroscopy analysis of number of layers in mass-produced graphene flakes

(2020) Diego L. Silva et al.   CARBON

An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization

(2020) Xilu Wang et al.   INFORMATION SCIENCES

Quality metrology of carbon nanotube thin films and its application for carbon nanotube-based electronics

(2020) Jie Zhao et al.   Nano Research

A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images

(2020) G.D. Förster et al.   CARBON

Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization

(2020) Jorge Chang et al.   Scientific Reports

Machine-learning-assisted fabrication: Bayesian optimization of laser-induced graphene patterning using in-situ Raman analysis

(2020) Hud Wahab et al.   CARBON

Artificial Neural Networks for the Resolution of Dopamine and Serotonin Complex Mixtures Using a Graphene-Modified Carbon Electrode

(2019) Marta Bonet-San-Emeterio et al.   ELECTROANALYSIS

Bees metaheuristic algorithm with the aid of artificial neural networks for optimization of acid red 27 dye adsorption onto novel polypyrrole/SrFe12O19/graphene oxide nanocomposite

(2019) Sodabeh Ebrahimpoor et al.   POLYMER BULLETIN

Mercury removal from water using deep eutectic solvents‐functionalized multi walled carbon nanotubes: Nonlinear autoregressive network with an exogenous input neural network approach

(2019) Seef S. Fiyadh et al.   Environmental Progress & Sustainable Energy

Growing Co-doped TiO2 nanosheets on reduced graphene oxide for efficient photocatalytic removal of tetracycline antibiotic from aqueous solution and modeling the process by artificial neural network

(2019) Sedigheh Jamali Alyani et al.   JOURNAL OF ALLOYS AND COMPOUNDS

Simulation and characterization of novel reverse osmosis membrane prepared by blending polypyrrole coated multiwalled carbon nanotubes for brackish water desalination and antifouling properties using artificial neural networks

(2019) Javad Farahbakhsh et al.   JOURNAL OF MEMBRANE SCIENCE

The machine learning revolution in materials?

(2019) Kristofer G. Reyes et al.   MRS BULLETIN

Artificial neural network technique to predict the properties of multiwall carbon nanotube-fly ash reinforced aluminium composite

(2019) Udaya Devadiga et al.   Journal of Materials Research and Technology-JMR&T

Chemiresistive Sensor Array and Machine Learning Classification of Food

(2019) Vera Schroeder et al.   ACS Sensors

A robotic platform for flow synthesis of organic compounds informed by AI planning

(2019) Connor W. Coley et al.   SCIENCE

Data‐Driven Materials Science: Status, Challenges, and Perspectives

(2019) Lauri Himanen et al.   Advanced Science

Tetrahydrocannabinol Detection Using Semiconductor-Enriched Single-Walled Carbon Nanotube Chemiresistors

(2019) Sean I. Hwang et al.   ACS Sensors

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

THz field detection in graphene using deep neural networks

(2019) Velat Kilic et al.   APPLIED PHYSICS LETTERS

Artificial neural network for predictive synthesis of single-walled carbon nanotubes by aerosol CVD method

(2019) Vsevolod Ya Iakovlev et al.   CARBON

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Machine learning-based design of porous graphene with low thermal conductivity

(2019) Jing Wan et al.   CARBON

Molybdenum-carbide-graphene composites for paper-based strain and acoustic pressure sensors

(2019) Yu Long et al.   CARBON

Insights from machine learning of carbon electrodes for electric double layer capacitors

(2019) Musen Zhou et al.   CARBON

Single and competitive dye adsorption onto chitosan–based hybrid hydrogels using artificial neural network modeling

(2019) P.S. Pauletto et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

A rapid and label-free platform for virus capture and identification from clinical samples

(2019) Yin-Ting Yeh et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep-learning-based quality filtering of mechanically exfoliated 2D crystals

(2019) Yu Saito et al.   npj Computational Materials

Deep-Learning Technique To Convert a Crude Piezoresistive Carbon Nanotube-Ecoflex Composite Sheet into a Smart, Portable, Disposable, and Extremely Flexible Keypad

(2018) Jin-Woong Lee et al.   ACS Applied Materials & Interfaces

Classification of biomass through their pyrolytic bio-oil composition using FTIR and PCA analysis

(2018) Eliane Lazzari et al.   INDUSTRIAL CROPS AND PRODUCTS

Neural network for prediction of 13 C NMR chemical shifts of fullerene C60 mono-adducts

(2018) Ilya I. Kiryanov et al.   JOURNAL OF CHEMOMETRICS

Multi-objective Optimization for Materials Discovery via Adaptive Design

(2018) Abhijith M. Gopakumar et al.   Scientific Reports

Inverse design in search of materials with target functionalities

(2018) Alex Zunger   Nature Reviews Chemistry

Exhaled breath profiling by electronic nose enabled discrimination of allergic rhinitis and extrinsic asthma

(2018) Silvano Dragonieri et al.   BIOMARKERS

Review of classical dimensionality reduction and sample selection methods for large-scale data processing

(2018) Xinzheng Xu et al.   NEUROCOMPUTING

Inverse molecular design using machine learning: Generative models for matter engineering

(2018) Benjamin Sanchez-Lengeling et al.   SCIENCE

Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms

(2018) Chi Vu et al.   SENSORS

A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer

(2018) Chi-Hsiang Huang et al.   SENSORS

Machine learning-based self-powered acoustic sensor for speaker recognition

(2018) Jae Hyun Han et al.   Nano Energy

Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils

(2018) Alireza Baghban et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Learning to predict single-wall carbon nanotube-recognition DNA sequences

(2018) Yoona Yang et al.   npj Computational Materials

Machine learning in materials design and discovery: Examples from the present and suggestions for the future

(2018) J. E. Gubernatis et al.   PHYSICAL REVIEW MATERIALS

Autonomous efficient experiment design for materials discovery with Bayesian model averaging

(2018) Anjana Talapatra et al.   PHYSICAL REVIEW MATERIALS

Optimization and modeling of simultaneous ultrasound-assisted adsorption of ternary dyes using copper oxide nanoparticles immobilized on activated carbon using response surface methodology and artificial neural network

(2018) Abdol Mohammad Ghaedi et al.   ULTRASONICS SONOCHEMISTRY

Optimization of irreversibility and thermal characteristics of a mini heat exchanger operated with a new hybrid nanofluid containing carbon nanotubes decorated with magnetic nanoparticles

(2017) Amin Shahsavar et al.   ENERGY CONVERSION AND MANAGEMENT

Experimental–Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov–Shannon Entropy Invariants

(2017) Michael González-Durruthy et al.   Journal of Chemical Information and Modeling

Deep learning for computational chemistry

(2017) Garrett B. Goh et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

An Accurate PSO-GA Based Neural Network to Model Growth of Carbon Nanotubes

(2017) Mohsen Asadnia et al.   Journal of Nanomaterials

Science and data science

(2017) David M. Blei et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model

(2017) Dongzhi Zhang et al.   SENSORS AND ACTUATORS B-CHEMICAL

Sparse Supervised Classification Methods Predict and Characterize Nanomaterial Exposures: Independent Markers of MWCNT Exposures

(2017) Naveena Yanamala et al.   TOXICOLOGIC PATHOLOGY

Optimizing Chemical Reactions with Deep Reinforcement Learning

(2017) Zhenpeng Zhou et al.   ACS Central Science

Virtual screening of inorganic materials synthesis parameters with deep learning

(2017) Edward Kim et al.   npj Computational Materials

Machine learning in materials informatics: recent applications and prospects

(2017) Rampi Ramprasad et al.   npj Computational Materials

Discovery and Optimization of Materials Using Evolutionary Approaches

(2016) Tu C. Le et al.   CHEMICAL REVIEWS

Experimental investigation and modeling of thermal radiative properties of f-CNTs nanofluid by artificial neural network with Levenberg–Marquardt algorithm

(2016) M. Vakili et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Machine-learning-assisted materials discovery using failed experiments

(2016) Paul Raccuglia et al.   NATURE

Autonomy in materials research: a case study in carbon nanotube growth

(2016) Pavel Nikolaev et al.   npj Computational Materials

Discrimination Enhancement with Transient Feature Analysis of a Graphene Chemical Sensor

(2015) Eric C. Nallon et al.   ANALYTICAL CHEMISTRY

Prediction of PCE of fullerene (C 60 ) derivatives as polymer solar cell acceptors by genetic algorithm–multiple linear regression

(2015) Eslam Pourbasheer et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Radial basis function neural networks based on the projection pursuit and principal component analysis approaches: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors

(2015) Zeinabe Hassanzadeh et al.   MEDICINAL CHEMISTRY RESEARCH

Deep learning

(2015) Yann LeCun et al.   NATURE

Application of classification models to identify solvents for single-walled carbon nanotubes dispersion

(2015) M. Salahinejad   RSC Advances

Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety

(2015) Punyatoya Mohapatra et al.   Journal of Food Measurement and Characterization

Artificial neural network-genetic algorithm based optimization for the adsorption of methylene blue and brilliant green from aqueous solution by graphite oxide nanoparticle

(2014) M. Ghaedi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk

(2014) M. Ghaedi et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Statistical Analysis of Variation in Laboratory Growth of Carbon Nanotube Forests and Recommendations for Improved Consistency

(2013) C. Ryan Oliver et al.   ACS Nano

Chemical vapor deposition-grown vertically aligned single-walled carbon nanotubes length assurance

(2012) Hatem Abuhimd et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Modeling and preparation of activated carbon for methane storage I. Modeling of activated carbon characteristics with neural networks and response surface method

(2008) Mahnaz Namvar-Asl et al.   ENERGY CONVERSION AND MANAGEMENT