A review on mechanics and mechanical properties of 2D materials—Graphene and beyond

D Akinwande, CJ Brennan, JS Bunch, P Egberts… - Extreme Mechanics …, 2017 - Elsevier
Since the first successful synthesis of graphene just over a decade ago, a variety of two-
dimensional (2D) materials (eg, transition metal-dichalcogenides, hexagonal boron-nitride …

Phase engineering and synchrotron-based study on two-dimensional energy nanomaterials

Q He, B Sheng, K Zhu, Y Zhou, S Qiao, Z Wang… - Chemical …, 2023 - ACS Publications
In recent years, there has been significant interest in the development of two-dimensional
(2D) nanomaterials with unique physicochemical properties for various energy applications …

Green synthesis of nanoparticles: A greener approach for a cleaner future

G Pal, P Rai, A Pandey - Green synthesis, characterization and applications …, 2019 - Elsevier
Nanotechnology, the study of matter at the nanoscale (ie, between 1–100 nm), has opened
up novel dimensions in the field of biotechnology and nanomedicine, along with various …

Modeling atomistic dynamic fracture mechanisms using a progressive transformer diffusion model

MJ Buehler - Journal of Applied Mechanics, 2022 - asmedigitalcollection.asme.org
Dynamic fracture is an important area of materials analysis, assessing the atomic-level
mechanisms by which materials fail over time. Here, we focus on brittle materials failure and …

Tailoring the mechanical properties of 2D materials and heterostructures

C Androulidakis, K Zhang, M Robertson, S Tawfick - 2D Materials, 2018 - iopscience.iop.org
The mechanical behavior of high quality two-dimensional (2D) crystals offers exciting
opportunities for new material design, such as the combination of extremely high in-plane …

[HTML][HTML] Structural defects, mechanical behaviors, and properties of two-dimensional materials

Z Xiong, L Zhong, H Wang, X Li - Materials, 2021 - mdpi.com
Since the success of monolayer graphene exfoliation, two-dimensional (2D) materials have
been extensively studied due to their unique structures and unprecedented properties …

FieldPerceiver: Domain agnostic transformer model to predict multiscale physical fields and nonlinear material properties through neural ologs

MJ Buehler - Materials Today, 2022 - Elsevier
Attention-based transformer neural networks have had significant impact in recent years.
However, their applicability to model the behavior of physical systems has not yet been …

2D transition metal dichalcogenide nanomaterials: advances, opportunities, and challenges in multi-functional polymer nanocomposites

M Ahmadi, O Zabihi, S Jeon, M Yoonessi… - Journal of Materials …, 2020 - pubs.rsc.org
This review addresses the current potential of two-dimensional (2D) transition metal
dichalcogenide (TMD) nanomaterials for multi-functional polymeric nanocomposites. The …

End-to-end prediction of multimaterial stress fields and fracture patterns using cycle-consistent adversarial and transformer neural networks

EL Buehler, MJ Buehler - Biomedical Engineering Advances, 2022 - Elsevier
The prediction of stress, strain fields or fracture patterns, along with other physical quantities
as a function of boundary conditions and material microstructure, is an important objective of …

A novel approach for studying crack propagation in polycrystalline graphene using machine learning algorithms

MSR Elapolu, MIR Shishir, A Tabarraei - Computational Materials Science, 2022 - Elsevier
A machine learning model is proposed to predict the brittle fracture of polycrystalline
graphene under tensile loading. The model employs a convolutional neural network …