Additive Manufacturing (AM) is one of several technological breakthroughs in the world, and Nanotechnology is the science of manipulating matter on an atomic, molecular, and supramolecular scale. Integration of both these domains can create wide variety of materials for new and innovative applications. In certain applications related to the fabrication of intricate structure and complex shapes, nanomaterials can help ease the manufacturing process and enhancement in the properties. This also leads to the development of some new and potential applications in biological sciences, space sciences, agriculture, and medicine. With the approach of using nanomaterials in additive manufacturing, we can make the new technology accessible to the inaccessible and more sustainable by easing the processing of the materials. In the past few years, there have been a lot of advancements in the integration of nanomaterials in AM for various applications. This review briefly comprehends these recent research and future of nanomaterial in AM. © 2020 Elsevier Ltd

Dolly Sharma

Computer Science and Engineering

(SoE) School of Engineering

Challagulla N.V.

Rohatgi V.

Kumar R.

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Shiv Nadar University

Current Opinion in Chemical Engineering

There has been exponential growth in the amount of data being generated on a daily basis. Such a huge amount of data creates a need for efficient data storage techniques. Due to the limitations of existing storage media, new storage solutions have always been of interest. There have been recent developments in order to efficiently use synthetic deoxyribonucleic acid (DNA) for information storage. DNA storage has attracted researchers because of its extremely high data storage density, about 1 exabyte/mm3 and long life under easily achievable conditions. This work presents an encoding scheme for DNA-based data storage system with controllable redundancy and reliability, the authors have also talked about the feasibility of the proposed method. The authors have also analysed the proposed algorithm for time and space complexity. The proposed encoding scheme tries to minimise the bases per letter ratio while controlling the redundancy. They have experimented with three different types of data with a value of redundancy as 0.75. In the randomised simulation setup, it was observed that the proposed algorithm was able to correctly retrieve the stored data in our experiments about 94\% of the time. In the situation, where redundancy was increased to 1, the authors were able to retrieve all the information correctly in the proposed experiments. © The Institution of Engineering and Technology 2020.

Fulltext

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