Quantum Field of Functional Density

For the first time in scientific and engineering practice, it is logically and mathematically substantiated, computationally verified and metrologically confirmed that classic and quantum physics, analytical and quantum chemistry, as well as continuous symbolic and discrete digital mathematical analysis, all have computational limits of information entropy, upper 1/10^16 and lower 1/10^64. Mutual displacement of these limits relatively center of Euclidean three-dimensional and of Cartesian two-dimensional space generate sets of quantum dots of mesh topology and weighted average harmonic units of quantum metrics of internal atomic and outer cosmic space, as well as determines limits of communication speed, clock frequency, calculation power and accuracy for any computing machine with subatomic elements of memory. The matrices of functional density and entropy of energy and information fields reconciles classic and quantum physics with continuous and discrete mathematics of special and general relativity.

Heats of Formation for Iodine Compounds: A DFT Study

The heat formation of 33 molecules for the iodine compounds were performed using the functional density theory (DFT) (B3LYP, M06-2X and WB97XD), and the basis sets (6-311G (d, p) and cc-pVQZ + d). The best agreement with experimental data was achieved by using B3LYP/cc-pVQZ+d, WB97XD/6-311G (d,p) and MP2/6-311G (d,p).

Improving functional density of time-critical applications using hardware-based dynamic reconfiguration and bitstream specialisation

The dynamic reconfiguration of an FPGA has many advantages, but the overhead from the process reduces the functional density of applications. Functional density is an indication of the composite benefits a reconfigured application obtains above its generic counterpart and measures the computational throughput per unit hardware resources. Typically, only quasi-static applications obtain a functional density advantage by dynamically reconfiguring its parameters. Contributing to the functional density reduction of applications with tight time constraints is the overhead to generate a new configuration, and the time it takes to load it onto the device. Normally these applications have to reuse their hardware numerous times between configurations before obtaining a functional density advantage. The most promising reconfiguration method to improve functional density with minimal hardware reuse was one that extracts certain characteristics from the bitstream and then implements a bitstream specialiser that generates new hardware at bit-level while the device is being reconfigured. While it was shown that this method allows reconfiguration of an application in real-time, its effect on functional density was not determined. This paper will show that a significant increase in functional density can be achieved for applications where reconfiguration is required before the next execution cycle of the application.

Nanometrology: optical properties of Si-nanoclusters

In this paper, we have discussed in detail the theoretical results using local functional density method in parameterized modification of silicon clusters. One of the main conclusions is that the comparison between theory and experiments shows the possibility of different radiative channels for the recombination in porous silicon. Research results directly affect nanometrology.

Optical properties of clusters

In this paper, we discuss in detail the theoretical results obtained with using the local functional density method in parameteric approximation of silicon clusters. One of the main conclusions is that the comparison between theory and experiments shows the possibility of different radiative channels for the recombination in porous silicon.