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Author

Amin Hadi

Other affiliations: Pasteur Institute of Iran
Bio: Amin Hadi is an academic researcher from University of Tehran. The author has contributed to research in topics: Boundary value problem & Functionally graded material. The author has an hindex of 23, co-authored 49 publications receiving 1781 citations. Previous affiliations of Amin Hadi include Pasteur Institute of Iran.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: In this paper, the buckling analysis of two-directional functionally graded materials (FGM) nano-beams with small scale effects is carried out based on the nonlocal elasticity theory and the governing equations are obtained, employing the principle of minimum potential energy.

244 citations

Journal ArticleDOI
TL;DR: In this paper, the free vibration analysis of Euler-Bernoulli nano-beams made of bi-directional functionally graded material (BDFGM) with small scale effects is investigated.

207 citations

Journal ArticleDOI
TL;DR: In this paper, the free vibration behaviors of the nanoplate made of functionally graded materials with small scale effects are investigated, and the Eringen's nonlocal theory is applied.

176 citations

Journal ArticleDOI
TL;DR: In this paper, the problem of static bending of Euler-Bernoulli nano-beams made of bi-directional functionally graded material (BDFGM) with small scale effects is formulated.

145 citations

Journal ArticleDOI
TL;DR: In this paper, the free vibration of three-directional functionally graded material (TDFGM) Euler-Bernoulli nano-beam, with small scale effects, is investigated.

94 citations


Cited by
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01 May 1993
TL;DR: 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.
Abstract: 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.

29,323 citations

Journal ArticleDOI
TL;DR: In this article, a size-dependent Timoshenko beam model, which accounts for through-thickness power-law variation of a two-constituent functionally graded (FG) material, is derived in the framework of the nonlocal strain gradient theory.

349 citations