Computational modeling techniques are now standard tools in solid‐state science. They are used routinely to model and predict structures, to investigate defect, transport, and spectroscopic properties of solids, to simulate sorption and diffusion, to develop models for nucleation and growth of solids, and increasingly to model and predict reaction mechanisms. They are applied to bulk solids, surfaces, and nanostructures, and successful applications are reported for all major classes of solid: metals, semiconductors, inorganic and ceramic materials, and molecular crystals. Modeling methods are now indeed tools that are used to guide, interpret, and predict experiment
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...
Over the past decade there has been a big interest in modeling and simulating large complex systems ...
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...
Computational modeling techniques are now standard tools in solid‐state science. They are used routi...
Advances in computing technology have significantly increased the scientific interest in computer ba...
Computational methods for the modeling and simulation of the dynamic response and behavior of partic...
Material science has been continuously serving the humanity in various aspects. Various two dimensio...
The computation of solids is challenged by the mutual interaction of its constituting elements, the ...
The QM/MM method, short for quantum mechanical/molecular mechanical, is a highly versatile approach ...
The micro- to nano-sized nature of layered materials, particularly characteristic of naturally occur...
The interface of quantum mechanics methods with classical atomistic simulation techniques, such as m...
Herewith, an overview of the group's collaborative research efforts on the development and deploymen...
The first reference of its kind in the rapidly emerging field of computational approachs to material...
Traditionally, new materials have been developed by empirically correlating their chemical compositi...
Abstract Modeling and simulation is transforming modern materials science, becoming a...
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...
Over the past decade there has been a big interest in modeling and simulating large complex systems ...
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...
Computational modeling techniques are now standard tools in solid‐state science. They are used routi...
Advances in computing technology have significantly increased the scientific interest in computer ba...
Computational methods for the modeling and simulation of the dynamic response and behavior of partic...
Material science has been continuously serving the humanity in various aspects. Various two dimensio...
The computation of solids is challenged by the mutual interaction of its constituting elements, the ...
The QM/MM method, short for quantum mechanical/molecular mechanical, is a highly versatile approach ...
The micro- to nano-sized nature of layered materials, particularly characteristic of naturally occur...
The interface of quantum mechanics methods with classical atomistic simulation techniques, such as m...
Herewith, an overview of the group's collaborative research efforts on the development and deploymen...
The first reference of its kind in the rapidly emerging field of computational approachs to material...
Traditionally, new materials have been developed by empirically correlating their chemical compositi...
Abstract Modeling and simulation is transforming modern materials science, becoming a...
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...
Over the past decade there has been a big interest in modeling and simulating large complex systems ...
We present an approach to model molecular crystals using an adaptive quantum mechanics/molecular mec...