New 2D materials (such as graphene) lead to a new class of 3D layered hybrid materials with controllably engineered atomic structures. Scalable processes (such as vapor deposition) have synthesized the majority of these meter-sized nanomaterials, offering many potential uses for next-generation structural graphene-based composites, electronics, sensors, DNA sequencing, or desalination membranes. It has many uses. Numerical design of nanomaterials and devices with various architectures and dimensions represents a distinct and increasingly important need, but requires the development of physically accurate and numerically efficient modeling approaches. Molecular dynamics (MD) can exhibit unfavorable numerical scaling, whereas more computation...
On cutting tools for high performance cutting (HPC) processes or for hard-to-cut materials an increa...
The basic building block of many carbon nanostructures like fullerenes, carbon onions or nanotubes i...
Novel properties in martensitic alloys are predicted using molecular dynamics (MD) simulations, the ...
Summary We show that atomic-scale finite element method (AFEM) is computationally efficient and as a...
Experimental characterization of Graphene NanoRibbons (GNRs) is still an expensive task and computat...
The real progress in the last decade in nanotechnology, has been due to a series of advances in a va...
Experimental characterization of Graphene NanoRibbons (GNRs) is still an expensive task and computat...
Graphene and its associated nanostructures (GANS) have been widely investigated by means of experime...
This book contains ten chapters, authored by world experts in the field of simulation at nano-scale ...
Two-dimensional (2D) nanomaterials such as graphene, transition metal oxides, metal oxides, metal hy...
In order to illustrate how atomistic modeling is being used to determine the structure, physical, an...
This book presents a new approach to modeling carbon structures such as graphene and carbon nanotube...
The field of nanotechnology has been quickly growing over the last few decades and many different fu...
This book presents a new approach to modeling carbon structures such as graphene and carbon nanotube...
The extraordinary mechanical and electronic properties of graphene have been used to fabricate revol...
On cutting tools for high performance cutting (HPC) processes or for hard-to-cut materials an increa...
The basic building block of many carbon nanostructures like fullerenes, carbon onions or nanotubes i...
Novel properties in martensitic alloys are predicted using molecular dynamics (MD) simulations, the ...
Summary We show that atomic-scale finite element method (AFEM) is computationally efficient and as a...
Experimental characterization of Graphene NanoRibbons (GNRs) is still an expensive task and computat...
The real progress in the last decade in nanotechnology, has been due to a series of advances in a va...
Experimental characterization of Graphene NanoRibbons (GNRs) is still an expensive task and computat...
Graphene and its associated nanostructures (GANS) have been widely investigated by means of experime...
This book contains ten chapters, authored by world experts in the field of simulation at nano-scale ...
Two-dimensional (2D) nanomaterials such as graphene, transition metal oxides, metal oxides, metal hy...
In order to illustrate how atomistic modeling is being used to determine the structure, physical, an...
This book presents a new approach to modeling carbon structures such as graphene and carbon nanotube...
The field of nanotechnology has been quickly growing over the last few decades and many different fu...
This book presents a new approach to modeling carbon structures such as graphene and carbon nanotube...
The extraordinary mechanical and electronic properties of graphene have been used to fabricate revol...
On cutting tools for high performance cutting (HPC) processes or for hard-to-cut materials an increa...
The basic building block of many carbon nanostructures like fullerenes, carbon onions or nanotubes i...
Novel properties in martensitic alloys are predicted using molecular dynamics (MD) simulations, the ...