Full-thermodynamic device simulation solves drift-diffusion (DD), energy balance, and lattice self-heating equations simultaneously and the solution time is extensive. An algorithm to reduce the solution time is presented. The method uses a single lattice temperature to describe the self-heating in the whole semiconductor device. It is shown that the solution time is reduced by 20% and little e...

Current theories of the discount rate have a theoretical basis focused on risk; risk-free and risk premium. The basic component rate, as purely empirical has natural infirmity which consequently weakens final theory. Similarly, premium category is not theoretically perfect. fundamental shortcoming that theory does relate to knowledge capital its potential growth. Therefore, purpose discussion j...

The alloy design and homogenization processes are intimately associated with the microstructure, phase composition performance for Al-Zn-Mg-Cu alloys. microstructures of a series alloys before after treatments were investigated along thermodynamic calculation to understand underlying relationship. eutectic (?-Al + M (Mg(ZnAlCu)2)) dominating Cu-enriched [AlCuMgZn] particles, both depending on Z...

We calculate thermodynamic properties for a dense hydrogen plasma and a quantum electron gas using thermodynamic Green's function techniques. Our perturbation approach is appropriate to give reliable results in the weak coupling regime. In particular, the contribution of the exchange term of the order e(4) is fully included for the nondegenerate case as well as for the dense highly degenerate q...

Motivation: A popular approach for predicting RNA secondary structure is the thermodynamic nearest neighbor model that finds a thermodynamically most stable secondary structure with the minimum free energy (MFE). For further improvement, an alternative approach that is based on machine learning techniques has been developed. The machine learning based approach can employ a fine-grained model th...