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

Large-Scale Fabrication of Boron Nitride Nanosheets and Their Utilization in Polymeric Composites with Improved Thermal and Mechanical Properties

How information and communication technology drives carbon emissions: A sector-level analysis for China

A novel palm sheath and sugarcane bagasse fiber based hybrid composites for automotive applications: An experimental approach

Cloud computing is a dynamic field of information and communication technologies (ICTs), introducing new challenges for environmental protection. Cloud computing technologies have a variety of application domains, since they offer scalability, are reliable and trustworthy, and offer high performance at relatively low cost. The cloud computing revolution is redesigning modern networking, and offering promising environmental protection prospects as well as economic and technological advantages. These technologies have the potential to improve energy efficiency and to reduce carbon footprints and (e-)waste. These features can transform cloud computing into green cloud computing. In this survey, we review the main achievements of green cloud computing. First, an overview of cloud computing is given. Then, recent studies and developments are summarized, and environmental issues are specifically addressed. Finally, future research directions and open problems regarding green cloud computing are presented. This survey is intended to serve as up-to-date guidance for research with respect to green cloud computing.

https://www.mdpi.com/2073-8994/9/12/295/pdf

Green Cloud Computing: A Literature Survey

In this article, experimental and classical mechanics-based approaches have been used to study the reinforcing capabilities of hexagonal boron nitride (h-BN) nanosheets for polyethylene (PE)-based nanocomposites. Experiments were performed with h-BN nanoflakes and high-density polyethylene-based nanocomposites. Experimental results reported 27.0 and 64.1% improvement in tensile strength and Young’s modulus for 5 wt % h-BN loading in PE, respectively. Experimental analysis helps in developing a micro- and macrolevel understanding of the mechanical behavior of BN/PE nanocomposites, whereas the strength of these nanocomposites is governed by interfacial properties. Interfacial properties can be easily captured using atomistic simulations such as molecular dynamics. Molecular dynamics-based atomistic models were developed to study the effect of aspect ratio, weight fraction, morphology, distribution of h-BN nanosheets, and strain rate loading on mechanical properties of the nanocomposite. A reactive force fie...

Experimental and Computational Studies to Analyze the Effect of h-BN Nanosheets on Mechanical Behavior of h-BN/Polyethylene Nanocomposites

Latest research states that by the end of 2020 carbon emission footprints will increase by 20%. This emission is mainly taking place due to Data Centers used to achieve the cloud computing architecture. Data centers and new technology adoptions are mainly causing this carbon emission. These Data Centers uses cloud energy to serve the user generated request and this energy consumption is the basic cause of carbon emission. This paper is basically an attempt to look for the possible solutions which we can adopt to reduce the carbon footprints and produce a green cloud computing which will help the humanity in saving our environment.

Towards Green Cloud Computing: Impact of carbon footprint on environment

Effect of Hexagonal Boron Nitride Nanoplatelet on Crystal Nucleation, Mechanical Behavior, and Thermal Stability of High‐Density Polyethylene‐Based Nanocomposites

Inter-granular fracture toughness of bi-crystalline graphene nanosheets

The aim of this article is to review the solution and challenges associated with high strain rate behavior of nanocomposites. Nanoclay, carbon nanotube, graphene, and inorganic nanofillers are most...

Ankur Chaurasia

Papers

Experimental and Computational Studies to Analyze the Effect of h-BN Nanosheets on Mechanical Behavior of h-BN/Polyethylene Nanocomposites

Towards Green Cloud Computing: Impact of carbon footprint on environment

Effect of Hexagonal Boron Nitride Nanoplatelet on Crystal Nucleation, Mechanical Behavior, and Thermal Stability of High‐Density Polyethylene‐Based Nanocomposites

Inter-granular fracture toughness of bi-crystalline graphene nanosheets

Polymer-based nanocomposites for impact loading: A review