Deep learning framework for carbon nanotubes: Mechanical properties and modeling strategies

Dynamic behavior of nanobeams under axial loads: Integral elasticity modeling and size‐dependent eigenfrequencies assessment

(2021) Raffaele Barretta et al.   MATHEMATICAL METHODS IN THE APPLIED SCIENCES

A comprehensive assessment of empirical potentials for carbon materials

(2021) Cheng Qian et al.   APL Materials

Characterizing fracture stress of defective graphene samples using shallow and deep artificial neural networks

(2020) M.A.N. Dewapriya et al.   CARBON

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

On thermomechanics of multilayered beams

(2020) Raffaele Barretta et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

A machine learning framework for predicting the shear strength of carbon nanotube-polymer interfaces based on molecular dynamics simulation data

(2020) Aowabin Rahman et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Predicting the delamination factor in carbon fibre reinforced plastic composites during drilling through the Gaussian process regression

(2020) Yun Zhang et al.   JOURNAL OF COMPOSITE MATERIALS

Machine Learning-Assisted High-Throughput Molecular Dynamics Simulation of High-Mechanical Performance Carbon Nanotube Structure

(2020) Yi Xiang et al.   Nanomaterials

Investigating the efficacy of machine learning tools in modeling the continuous stabilization and carbonization process and predicting carbon fiber properties

(2020) Narayan Shirolkar et al.   CARBON

Size dependent buckling analysis of nano sandwich beams by two schemes

(2019) M. Rezaiee-Pajand et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Nonlocal integral thermoelasticity: A thermodynamic framework for functionally graded beams

(2019) Raffaele Barretta et al.   COMPOSITE STRUCTURES

Nonlinear thermo-resonant behavior of fluid-conveying FG pipes

(2019) Amir Mehdi Dehrouyeh-Semnani et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Elastic constants of graphene: Comparison of empirical potentials and DFT calculations

(2018) Irina V. Lebedeva et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Application of gradient elasticity to armchair carbon nanotubes: Size effects and constitutive parameters assessment

(2017) Raffaele Barretta et al.   EUROPEAN JOURNAL OF MECHANICS A-SOLIDS

Mechanical properties of single-walled carbon nanotubes: a comprehensive molecular dynamics study

(2017) Hessam Yazdani et al.   Materials Research Express

Bending of Euler–Bernoulli beams using Eringen’s integral formulation: A paradox resolved

(2016) J. Fernández-Sáez et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Molecular dynamics simulation studies of mechanical properties of different carbon nanotube systems

(2016) Z. K. J. Kok et al.   MOLECULAR SIMULATION

Tensile Characterization of Single-Walled Carbon Nanotubes with Helical Structural Defects

(2016) Young I. Jhon et al.   Scientific Reports

Simulation of the Elastic and Ultimate Tensile Properties of Diamond, Graphene, Carbon Nanotubes, and Amorphous Carbon Using a Revised ReaxFF Parametrization

(2015) Benjamin D. Jensen et al.   JOURNAL OF PHYSICAL CHEMISTRY A

Estimation of mechanical properties of nanomaterials using artificial intelligence methods

(2013) V. Vijayaraghavan et al.   APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING

Temperature and strain-rate dependent fracture strength of graphene

(2010) H. Zhao et al.   JOURNAL OF APPLIED PHYSICS

Effects of Vacancy Defects on the Interfacial Shear Strength of Carbon Nanotube Reinforced Polymer Composite

(2010) Sanjib Chandra Chowdhury et al.   JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY

Molecular dynamics (MD) simulations of the dependence of C–C bond lengths and bond angles on the tensile strain in single-wall carbon nanotubes (SWCNT)

(2007) Paras M. Agrawal et al.   COMPUTATIONAL MATERIALS SCIENCE