A program for electronic structure computations, which scales linearly (O(N)) with the number of atoms in a system, has been implemented on a parallel-vector CRAY C90. The method is suitable for disordered systems, transition metal oxides, inter faces, superlattices, extended surface defects such as steps, microfacets and islands, and in general for nanometer-scale engineered structures consisting of millions of atoms. The program runs at a speed of 8.5 GFLOP/s on a 16-CPU CRAY C90. We believe that the computation performed using this program (1,105,920 atoms of rutile Ti02) is the largest quantum-mechanical electronic structure calculation reported so far. We rep...
A parallel implementation of the conventionally used NDDO (MNDO, AM1, PM3, CLUSTER-Z1) and modified ...
A parallel realization of the NDDO-WF technique for semi-empirical quantum-chemical calculations on ...
The interest in theoretical investigations of macromolecular structures in chemistry with quantum me...
Extremely fast parallel implementation of the equation-of-motion method for electronic structure com...
We report massively parallel computations of the electronic density of states of a non-periodic micr...
We report massively parallel computations of the electronic density of states of a non-periodic micr...
We report on benchmark tests of computations of the total electronic density of states of a micro-cr...
Development of new materials needs better understanding of the behavior of materials at nanoscale wh...
We have developed a highly efficient and scalable electronic structure code for parallel computers ...
Density function theory (DFT) is the most widely employed electronic structure method because of its...
Two factors limit our ability to accurately describe the properties of materials: (1) the ability ch...
We present a new linear scaling ab initio total energy electronic structure calculation method based...
Even when using parametrized semiempirical methods, quantum chemical calculations on molecules conta...
During the past decades, quantum mechanical methods have undergone an amazing transition from pionee...
Practical quantum mechanical simulations of materials, which take into account explicitly the electr...
A parallel implementation of the conventionally used NDDO (MNDO, AM1, PM3, CLUSTER-Z1) and modified ...
A parallel realization of the NDDO-WF technique for semi-empirical quantum-chemical calculations on ...
The interest in theoretical investigations of macromolecular structures in chemistry with quantum me...
Extremely fast parallel implementation of the equation-of-motion method for electronic structure com...
We report massively parallel computations of the electronic density of states of a non-periodic micr...
We report massively parallel computations of the electronic density of states of a non-periodic micr...
We report on benchmark tests of computations of the total electronic density of states of a micro-cr...
Development of new materials needs better understanding of the behavior of materials at nanoscale wh...
We have developed a highly efficient and scalable electronic structure code for parallel computers ...
Density function theory (DFT) is the most widely employed electronic structure method because of its...
Two factors limit our ability to accurately describe the properties of materials: (1) the ability ch...
We present a new linear scaling ab initio total energy electronic structure calculation method based...
Even when using parametrized semiempirical methods, quantum chemical calculations on molecules conta...
During the past decades, quantum mechanical methods have undergone an amazing transition from pionee...
Practical quantum mechanical simulations of materials, which take into account explicitly the electr...
A parallel implementation of the conventionally used NDDO (MNDO, AM1, PM3, CLUSTER-Z1) and modified ...
A parallel realization of the NDDO-WF technique for semi-empirical quantum-chemical calculations on ...
The interest in theoretical investigations of macromolecular structures in chemistry with quantum me...