Nucleation plays an important role in various contexts ranging from formation of atmospheric aerosols to material processing. A quantitative description of these processes often requires an accurate estimate on the rate of nucleation as an input. Classical nucleation theory has been used extensively in practice to predict this quantity. The essential content of classical theory is as follows. T...

Mappings of classical computation onto statistical mechanics models have led to remarkable successes in addressing some complex computational problems. However, such mappings display thermodynamic phase transitions that may prevent reaching solution even for easy problems known to be solvable in polynomial time. Here we map universal reversible classical computations onto a planar vertex model ...

– We consider the phase diagram of a classical fluid in the presence of a random pinning potential of arbitrary strength. Introducing replicas for averaging over the quenched disorder, we use the hypernetted chain approximation to calculate the correlations in the replicated liquid. The freezing transition of the liquid into a nearly crystalline state is studied using a density functional appro...

We present a classical model for bulk-ensemble NMR quantum computation: the quantum state of the NMR sample is described by a probability distribution over the orientations of classical tops, and quantum gates are described by classical transition probabilities. All NMR quantum computing experiments performed so far with three quantum bits can be accounted for in this classical model. After a f...

The fundamental problem of the transition from quantum to classical physics is usually explained by decoherence, and viewed as a gradual process. The study of entanglement, or quantum correlations, in noisy quantum computers implies that in some cases the transition from quantum to classical is actually a phase transition. We define the notion of entanglement length in ddimensional noisy quantu...

Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

the effects of electromagnetic fields (emfs) radiation at the frequency of 940 mhz on the structure and function of human adult and fetal hemoglobin (hba and hbf) were studied. after extraction and purification of hba and hbf, the oxygen absorption values for exposed and unexposed hba and hbf to emf were compared. the slope of oxygen absorption curve for exposed hba was increased while that for...

using the facts controllers, such as static synchronous compensator (statcom), as it provides continuous reactive power, in the grid including wind turbine (wt) equipped with doubly fed induction generator, for improving voltage profile (under normal circumstances) and providing a transition ability from inductor generator transition state has been proposed. in this paper, in order to control t...