Collective dynamics of a strongly correlated nano-fluid of fullerenes, C 60 having number density 0.945 particles/nm3 at 1850 K has been predicted using the sphericalized inter-fullerene interaction and the self-consistent microscopic theory of fluids. The dynamical structure factors have been computed to yield much different dispersion relation of the collective excitations from that of the Lennard–Jones type fluid. The wave-vector dependent longitudinal viscosity of the nano-fluid has also been reported.

Purpose The purpose of current analytical work is to identify the critical barriers in social isolation in India amid Coronavirus infection disease (COVID) outbreak using the fuzzy-analytical hierarchical process (AHP) method. Design/methodology/approach The conventional AHP is insufficient for tackling the vague nature of linguistic assessment. Fuzzy AHP had been developed to resolve the hierarchical fuzzy problems, avoiding its risks on performance. In AHP, all comparisons are not included; thus, to find the priority of one decision variable over other, triangular fuzzy numbers are used. Findings A total of eight critical barriers in social distancing in India during COVID-19 have been compared and ranked. Dense population has emerged as the most culpable barrier in social isolation in India amid COVID outbreak followed by compulsion for pecuniary earning and general incautiousness. A total of eight critical barriers in social distancing in India during COVID-19 in four categories (societal barriers, insufficient facilitation barriers, growth-related barriers and population related barriers) have been compared and ranked. Originality/value On the basis of the numeral values, “growth-related barriers” attained top position followed by “population-related barriers” and “insufficient facilitation barriers.” The current work has explored the possible factors which can become key game changers to control the pace of spread of the pandemic.

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