Prediction of tensile strength of polymer carbon nanotube composites using practical machine learning method

Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete

(2020) Dong Van Dao et al.   Materials

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

(2020) Dong Van Dao et al.   Sustainability

Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

(2020) Quang Hung Nguyen et al.   Materials

Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

(2020) Hung Quang Nguyen et al.   Materials

Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

(2020) Binh Thai Pham et al.   Sustainability

Surrogate Neural Network Model for Prediction of Load-Bearing Capacity of CFSS Members Considering Loading Eccentricity

(2020) Tien-Thinh Le   Applied Sciences-Basel

Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill

(2019) Chongchong Qi et al.   MINERALS ENGINEERING

A new form of a Halpin–Tsai micromechanical model for characterizing the mechanical properties of carbon nanotube-reinforced polymer nanocomposites

(2019) Mohammad Kazem Hassanzadeh-Aghdam et al.   BULLETIN OF MATERIALS SCIENCE

Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

(2019) B. Staber et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Stochastic Multi‐Scale Modeling of Crack Propagation in Random Heterogeneous Media

(2019) Darith‐Anthony Hun et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

(2019) Lu Minh Le et al.   Materials

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees

(2019) Ly et al.   Materials

Neural Networks Are Promising Tools for the Prediction of the Viscosity of Unsaturated Polyester Resins

(2019) Julien Molina et al.   Frontiers in Chemistry

New frontiers for the materials genome initiative

(2019) Juan J. de Pablo et al.   npj Computational Materials

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

(2019) Hai-Bang Ly et al.   Materials

Radial Basis Function Neural Network-Based Modeling of the Dynamic Thermo-Mechanical Response and Damping Behavior of Thermoplastic Elastomer Systems

(2019) Ivan Kopal et al.   Polymers

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

(2019) Binh Thai Pham et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

(2019) Ly et al.   Applied Sciences-Basel

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

(2019) Jonathan Schmidt et al.   npj Computational Materials

Improved mechanical and tribological properties of polytetrafluoroethylene reinforced by carbon nanotubes: A molecular dynamics study

(2019) Jingfu Song et al.   COMPUTATIONAL MATERIALS SCIENCE

Pressure drops of fresh cemented paste backfills through coupled test loop experiments and machine learning techniques

(2019) Chongchong Qi et al.   POWDER TECHNOLOGY

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

(2019) Hai-Bang Ly et al.   SENSORS

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

(2019) Chongchong Qi et al.   CHEMOSPHERE

Molecular dynamics simulations of the polymer/amine functionalized single-walled carbon nanotubes interactions

(2018) R. Ansari et al.   APPLIED SURFACE SCIENCE

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

Identifying interphase properties in polymer nanocomposites using adaptive optimization

(2018) Yixing Wang et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Multiscale modeling of carbon fiber/carbon nanotube/epoxy hybrid composites: Comparison of epoxy matrices

(2018) M.S. Radue et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Mori–Tanaka estimates of the effective elastic properties of stress-gradient composites

(2018) V.P. Tran et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Prediction of the Tensile Response of Carbon Black Filled Rubber Blends by Artificial Neural Network

(2018) Ivan Kopal et al.   Polymers

A unified deep artificial neural network approach to partial differential equations in complex geometries

(2018) Jens Berg et al.   NEUROCOMPUTING

Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

(2017) M. L. Green et al.   Applied Physics Reviews

Mechanical properties of single-walled carbon nanotube reinforced polymer composites with varied interphase’s modulus and thickness: A finite element analysis study

(2016) Dilip Banerjee et al.   COMPUTATIONAL MATERIALS SCIENCE

Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite

(2016) T.T. Le et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures

(2016) R. Capillon et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Stochastic modeling of mesoscopic elasticity random field

(2016) V-P. Tran et al.   MECHANICS OF MATERIALS

A multiscale mechanical model for the effective interphase of SWNT/epoxy nanocomposite

(2016) Joonmyung Choi et al.   POLYMER

Significance of Carbon Nanotube in Flame-Retardant Polymer/CNT Composite: A Review

(2016) Ayesha Kausar et al.   POLYMER-PLASTICS TECHNOLOGY AND ENGINEERING

Machine Learning Strategy for Accelerated Design of Polymer Dielectrics

(2016) Arun Mannodi-Kanakkithodi et al.   Scientific Reports

Molecular dynamics simulation of polymer/carbon nanotube composites

(2015) Sumit Sharma et al.   ACTA MECHANICA SOLIDA SINICA

Multiscale modeling of carbon nanotube epoxy composites

(2015) A.R. Alian et al.   POLYMER

Polymer/Carbon Nanotube Nano Composite Fibers–A Review

(2014) Yaodong Liu et al.   ACS Applied Materials & Interfaces

The Materials Genome Initiative, the interplay of experiment, theory and computation

(2014) Juan J. de Pablo et al.   CURRENT OPINION IN SOLID STATE & MATERIALS SCIENCE

Multiscale micromechanical modeling of the constitutive response of carbon nanotube-reinforced structural adhesives

(2014) J.M. Wernik et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Mechanical properties of carbon nanotube/polymer composites

(2014) B. Arash et al.   Scientific Reports

Revealing the Impact of Catalyst Phase Transition on Carbon Nanotube Growth by in Situ Raman Spectroscopy

(2013) Rahul Rao et al.   ACS Nano

Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases

(2013) J. Guilleminot et al.   ACTA MECHANICA SINICA

Confrontation between Molecular Dynamics and micromechanical approaches to investigate particle size effects on the mechanical behaviour of polymer nanocomposites

(2013) V. Marcadon et al.   COMPUTATIONAL MATERIALS SCIENCE

Computational modeling of elastic properties of carbon nanotube/polymer composites with interphase regions. Part II: Mechanical modeling

(2013) Fei Han et al.   COMPUTATIONAL MATERIALS SCIENCE

Mechanical properties of multi-walled carbon nanotube/epoxy polysulfide nanocomposite

(2013) Behzad Shirkavand Hadavand et al.   MATERIALS & DESIGN

Polymer/carbon based composites as electromagnetic interference (EMI) shielding materials

(2013) Jean-Michel Thomassin et al.   MATERIALS SCIENCE & ENGINEERING R-REPORTS

Machine learning of molecular electronic properties in chemical compound space

(2013) Grégoire Montavon et al.   NEW JOURNAL OF PHYSICS

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

(2013) Anubhav Jain et al.   APL Materials

Improved Dispersion of Carbon Nanotubes in Polymers at High Concentrations

(2012) Chao-Xuan Liu et al.   Nanomaterials

Numerical characterization of CNT-based polymer composites considering interface effects

(2010) Hossein Golestanian et al.   COMPUTATIONAL MATERIALS SCIENCE

Bridged crack models for the toughness of composites reinforced with curved nanotubes

(2010) Xinyu Chen et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Mechanical properties of multi-walled carbon nanotube/epoxy composites

(2010) Arash Montazeri et al.   MATERIALS & DESIGN

Prediction of daily precipitation using wavelet—neural networks

(2009) TURGAY PARTAL et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Carbon nanotube–polymer composites: Chemistry, processing, mechanical and electrical properties

(2009) Zdenko Spitalsky et al.   PROGRESS IN POLYMER SCIENCE

Optical and electrical characterization of conducting polymer-single walled carbon nanotube composite films

(2008) Inderpreet Singh et al.   CARBON

Reduced Carbon Solubility in Fe Nanoclusters and Implications for the Growth of Single-Walled Carbon Nanotubes

(2008) A. R. Harutyunyan et al.   PHYSICAL REVIEW LETTERS