For problems relating to fracture, a consistent embedding of a quantum (QM) domain in its classical (CM) environment requires that the classical system should yield the same structure and elastic properties as the QM domain for states near equilibrium. It is proposed that an appropriate classical potential can be constructed using ab initio data on the equilibrium and weakly strained configurations calculated from the quantum description, rather than the more usual approach of fitting to a wide range of empirical data. The scheme is illustrated in detail for a model system, silica nanorod that has the proper stiochiometric ratio of Si:O as observed in real silica. The potential is chosen to be pairwise additive, with the same pair potential...
The authors present the derivation of a new shell model potential which is fitted on ab initio data ...
A fitting scheme is proposed to obtain effective potentials from Car-Parrinello molecular-dynamics (...
ABSTRACT First-principles generalized pseudopotential theory (GPT) provides a fundamental basis for ...
Computational quantum chemistry is a powerful method developed by the chemist to elucidate bond leng...
A new interatomic potential, tuned to calculate the energies and structures of nanoscale silica, is ...
Use of "ab initio" quantum-mechanical approaches (Hartree-Fock, DF) for modelling the surface potent...
Quantum mechanics/molecular mechanics (QM/MM) approaches are currently used to describe several prop...
Use of "ab initio" quantum-mechanical approaches (Hartree-Fock, DF) for modelling the surface potent...
Determining the accurate structure of a material is a critical step in understanding its physics. St...
Abstract This investigation presents a generally applicable framework for parameterizing interatomic...
Simulation of materials at the atomistic level is an important tool in studying microscopic structur...
Size and strain rate effects are among several factors which play an important role in determining t...
Silica (SiO 2) is an abundant material with a wide range of applications. Despite much progress, the...
International audienceSimulating the dynamics of complex systems requires the precise ident...
Hybrid quantum/classical techniques can flexibly couple ab initio simulations to an empirical or ela...
The authors present the derivation of a new shell model potential which is fitted on ab initio data ...
A fitting scheme is proposed to obtain effective potentials from Car-Parrinello molecular-dynamics (...
ABSTRACT First-principles generalized pseudopotential theory (GPT) provides a fundamental basis for ...
Computational quantum chemistry is a powerful method developed by the chemist to elucidate bond leng...
A new interatomic potential, tuned to calculate the energies and structures of nanoscale silica, is ...
Use of "ab initio" quantum-mechanical approaches (Hartree-Fock, DF) for modelling the surface potent...
Quantum mechanics/molecular mechanics (QM/MM) approaches are currently used to describe several prop...
Use of "ab initio" quantum-mechanical approaches (Hartree-Fock, DF) for modelling the surface potent...
Determining the accurate structure of a material is a critical step in understanding its physics. St...
Abstract This investigation presents a generally applicable framework for parameterizing interatomic...
Simulation of materials at the atomistic level is an important tool in studying microscopic structur...
Size and strain rate effects are among several factors which play an important role in determining t...
Silica (SiO 2) is an abundant material with a wide range of applications. Despite much progress, the...
International audienceSimulating the dynamics of complex systems requires the precise ident...
Hybrid quantum/classical techniques can flexibly couple ab initio simulations to an empirical or ela...
The authors present the derivation of a new shell model potential which is fitted on ab initio data ...
A fitting scheme is proposed to obtain effective potentials from Car-Parrinello molecular-dynamics (...
ABSTRACT First-principles generalized pseudopotential theory (GPT) provides a fundamental basis for ...