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Arijit Ray

Researcher at Presidency University, Kolkata

Publications -  62
Citations -  918

Arijit Ray is an academic researcher from Presidency University, Kolkata. The author has contributed to research in topics: Mafic & Gabbro. The author has an hindex of 16, co-authored 57 publications receiving 731 citations. Previous affiliations of Arijit Ray include Steel Authority of India & Tata Institute of Fundamental Research.

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Petrology, geochemistry and paleomagnetism of the earliest magmatic rocks of Deccan Volcanic Province, Kutch, Northwest India

TL;DR: In this paper, Petrological, geochemical and paleomagnetic data for representative samples of the volcanic and intrusive rocks from Kutch region are presented, which are classified into three groups on the basis of spatial distribution, mode of occurrence and petrochemistry.
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Field and geochemical characteristics of the Coolac Ophiolite suite and its possible origin in a marginal sea

TL;DR: Geological and geochemical data from the Coolac Serpentinite Belt, North Mooney Complex and Honeysuckle Beds in southern New South Wales indicate that the association represents a partially dismembered body.
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Effect of Inclusions and Microstructural Characteristics on the Mechanical Properties and Fracture Behavior of a High- Strength Low- Alloy Steel

TL;DR: In this paper, the strength and toughness properties of hot-rolled plates from three commercial heats of a high-strength low-alloy steel were investigated with respect to their intrinsic microstructural and inclusion characteristics.
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Microstructure and properties of thermomechanically strengthened reinforcement bars : A comparative assessment of plain-carbon and low-alloy Steel grades

TL;DR: An extensive investigation has been carried out to study structure-property characteristics and corrosion behavior in three varieties of thermomechanically treated (TMT) reinforcement bars (rebars) produced in an integrated steel plant under the Steel Authority of India Limited as discussed by the authors.
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Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions

TL;DR: This article introduced the problem of determining the relevance of questions to images in VQA, which is composed of two stages: given an image and a question, first determining whether the question is visual or not, and if visual, determining whether a question is relevant to the given image or not.