Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

Fast parallel algorithms for short-range molecular dynamics

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

An introduction to heat transfer

Solar Engineering Of Thermal Processes

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Numerical Heat Transfer And Fluid Flow

Retraction notice to “Comparison of the effect of the steel and polypropylene fibres on the flexural behaviour of recycled aggregate concrete beams” [Structures 29 (2021) 129–146]

Retraction notice to “Influence of steel fibres on the mechanical and physical performance of self-compacting concrete manufactured with waste materials and fillers” [Construction and Building Materials 267 (2020) 121806]

Retraction notice to “Experimental study on the flexural behaviour and ductility ratio of steel fibres coarse recycled aggregate concrete beams” [Constr. Build. Mater. 186 (2018) 400–422]

Given the need to increase the efficiency of heat transfer in thermal systems, especially systems using nanofluids in microscale and nanoscale heat transfer equipment ideas to improve their performance is very good.In present study, the flow and heat transfer of Water-Cu nanofluid in micro-tube with slip regime with constant wall heat flux numerically simulated with low Reynolds numbers. Slip velocity and temperature jump boundary conditions are also considered along the microtube walls, for first time. The results are presented as the profiles of temperature and velocity. Nusselt number and pressure drop coefficient calculated in interance and full developed region. The effect of slip and using nano particle considerd.It is observed that Nusselt number increases with slip velocity coefficient and pressure drop coefficient decreases; att intrance region the Raynolds of flow has effect on Nusselt and pressure drop coefficient,too.Likewise observed nano particle adding to water has low effect to increases Nusselt number and pressure drop coefficientt.

http://jsme.iaukhsh.ac.ir/article_528805_2395e6ed9938578ae36fc731417b48d4.pdf

Nanofluid forced convection through a microtube with constant heat flux and slip boundary

At present study the flow and heat transfer of Non-Newtonian nanofluid, aqueous solution of carboxymethyl cellulose-Aluminum oxide with different volume fractions of nano particles in a two dimensional microtube is simulated for the first time. Slip velocity and temperature jump boundary conditions are also considered along the microtube walls. The achieved results accuracy is investigated by comparison with those of previous data. The results are presented as isothermal contours, Nusselt number and the profiles of temperature and velocity at different cross sections of the microtube. It is observed that Nusselt number increases with slip velocity coefficient and volume fraction of nano particles; while its rate is more sensitive at higher values of Reynolds number.

Simulation of the forced convection heat transfer non-newtonian nanofluid, aqueous solution of carboxymethyl cellulose-aluminum oxide, in slip flow regime through a microtube

Arash Karimipour

Papers

Retraction notice to “Comparison of the effect of the steel and polypropylene fibres on the flexural behaviour of recycled aggregate concrete beams” [Structures 29 (2021) 129–146]

Retraction notice to “Influence of steel fibres on the mechanical and physical performance of self-compacting concrete manufactured with waste materials and fillers” [Construction and Building Materials 267 (2020) 121806]

Retraction notice to “Experimental study on the flexural behaviour and ductility ratio of steel fibres coarse recycled aggregate concrete beams” [Constr. Build. Mater. 186 (2018) 400–422]

Nanofluid forced convection through a microtube with constant heat flux and slip boundary

Simulation of the forced convection heat transfer non-newtonian nanofluid, aqueous solution of carboxymethyl cellulose-aluminum oxide, in slip flow regime through a microtube