Mechanical properties of defective single-layered graphene sheets via molecular dynamics simulation R Ansari, S Ajori, B Motevalli Superlattices and Microstructures 51 (2), 274-289, 2012 | 201 | 2012 |
Versatile surface functionalization of metal–organic frameworks through direct metal coordination with a phenolic lipid enables diverse applications W Zhu, G Xiang, J Shang, J Guo, B Motevalli, P Durfee, JO Agola, ... Advanced Functional Materials 28 (16), 1705274, 2018 | 105 | 2018 |
Metal–organic framework nanoparticle-assisted cryopreservation of red blood cells W Zhu, J Guo, JO Agola, JG Croissant, Z Wang, J Shang, E Coker, ... Journal of the American Chemical Society 141 (19), 7789-7796, 2019 | 85 | 2019 |
Fracture analysis of monolayer graphene sheets with double vacancy defects via MD simulation R Ansari, B Motevalli, A Montazeri, S Ajori Solid State Communications 151 (17), 1141-1146, 2011 | 82 | 2011 |
Nanoinformatics, and the big challenges for the science of small things AS Barnard, B Motevalli, AJ Parker, JM Fischer, CA Feigl, G Opletal Nanoscale 11 (41), 19190-19201, 2019 | 71 | 2019 |
A comprehensive study on the oscillation frequency of spherical fullerenes in carbon nanotubes under different system parameters R Ansari, F Sadeghi, B Motevalli Communications in Nonlinear Science and Numerical Simulation 18 (3), 769-784, 2013 | 47 | 2013 |
The role of nanowrinkles in mass transport across graphene‐based membranes Y Kang, R Qiu, M Jian, P Wang, Y Xia, B Motevalli, W Zhao, Z Tian, JZ Liu, ... Advanced Functional Materials 30 (32), 2003159, 2020 | 43 | 2020 |
On new aspects of nested carbon nanotubes as gigahertz oscillators R Ansari, B Motevalli | 38 | 2011 |
The effects of geometrical parameters on force distributions and mechanics of carbon nanotubes: A critical study R Ansari, B Motevalli Communications in Nonlinear Science and Numerical Simulation 14 (12), 4246-4263, 2009 | 37 | 2009 |
Ab Initio Simulations To Understand the Leaf-Shape Crystal Morphology of ZIF-L with Two-Dimensional Layered Network B Motevalli, N Taherifar, H Wang, JZ Liu The Journal of Physical Chemistry C 121 (4), 2221-2227, 2017 | 36 | 2017 |
Understanding and predicting the cause of defects in graphene oxide nanostructures using machine learning B Motevalli, B Sun, AS Barnard The Journal of Physical Chemistry C 124 (13), 7404-7413, 2020 | 32 | 2020 |
The representative structure of graphene oxide nanoflakes from machine learning B Motevalli, AJ Parker, B Sun, AS Barnard Nano Futures 3 (4), 045001, 2019 | 30 | 2019 |
Structural synthesis of 5 DoFs 3T2R parallel manipulators with prismatic actuators on the base B Motevalli, H Zohoor, S Sohrabpour Robotics and Autonomous Systems 58 (3), 307-321, 2010 | 25 | 2010 |
Classifying and predicting the electron affinity of diamond nanoparticles using machine learning CA Feigl, B Motevalli, AJ Parker, B Sun, AS Barnard Nanoscale Horizons 4 (4), 983-990, 2019 | 18 | 2019 |
Comparison of continuum-based and atomistic-based modeling of axial buckling of carbon nanotubes subject to hydrostatic pressure B Motevalli, A Montazeri, JZ Liu, H Rafii-Tabar Computational materials science 79, 619-626, 2013 | 14 | 2013 |
Modeling the buckling behavior of carbon nanotubes under simultaneous combination of compressive and torsional loads B Motevalli, A Montazeri, R Tavakoli-Darestani, H Rafii-Tabar Physica E: Low-dimensional Systems and Nanostructures 46, 139-148, 2012 | 14 | 2012 |
Cooperative Reformable Channel System with Unique Recognition of Gas Molecules in a Zeolitic Imidazolate Framework with Multilevel Flexible Ligands B Motevalli, H Wang, JZ Liu The Journal of Physical Chemistry C 119 (29), 16762-16768, 2015 | 10 | 2015 |
Different motion patterns of triple-walled carbon nanotube oscillators R Ansari, E Mahmoudinezhad, B Motevalli Journal of Vibration and Control 20 (5), 773-785, 2014 | 10 | 2014 |
The pure and representative types of disordered platinum nanoparticles from machine learning AJ Parker, B Motevalli, G Opletal, AS Barnard Nanotechnology 32 (9), 095404, 2020 | 8 | 2020 |
A density functional theory computational study of adsorption of Di-Meta-Cyano Azobenzene molecules on Si (111) surfaces B Motevalli, N Taherifar, B Wu, W Tang, JZ Liu Applied Surface Science 422, 557-565, 2017 | 8 | 2017 |