A
Abhishek K. Singh
Researcher at Indian Institute of Science
Publications - 389
Citations - 9883
Abhishek K. Singh is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Medicine & Band gap. The author has an hindex of 44, co-authored 321 publications receiving 7354 citations. Previous affiliations of Abhishek K. Singh include University of California, Santa Barbara & Tata Institute of Fundamental Research.
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Effect of Cr addition on γ–γ′ cobalt-based Co–Mo–Al–Ta class of superalloys: a combined experimental and computational study
B. Nithin,Atanu Samanta,Surendra Kumar Makineni,Surendra Kumar Makineni,Talukder Alam,Prafull Pandey,Abhishek K. Singh,Rajarshi Banerjee,Kamanio Chattopadhyay +8 more
TL;DR: In this article, the effect of Cr addition on the partitioning behavior and the consequent effect on mechanical properties for tungsten-free gamma-gamma' cobalt-based superalloys with base alloy compositions of Co-30Ni-10Al5Mo- 2Ta (2Ta) and Co- 30Ni- 10Al-5 Mo-2Ta-2Ti (2 Ta2Ti).
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The boron buckyball and its precursors: an electronic structure study.
TL;DR: Using ab initio calculations, electronic structure and vibrational modes of the boron fullerene B(80), a stable, spherical cage similar in shape to the well-known C(60), are analyzed and the gap alternates for different sizes and closes its value for infinite double-ring.
Journal Article
Pentahexoctite: A New Two-dimensional Allotrope of Carbon
TL;DR: In this paper, the authors reported a new sp2 hybridized two-dimensional allotrope consisting of continuous 5-6-8 rings of carbon atoms, named as Pentahexoctite.
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Coupling the High-Throughput Property Map to Machine Learning for Predicting Lattice Thermal Conductivity
TL;DR: In this article, low thermal conductivity materials are crucial for applications such as thermoelectric conversion of waste heat to useful energy and thermal barrier coatings, on the other hand, high thermal conduc...
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Hydrogen Storage Capacity of Carbon-Foams: Grand Canonical Monte Carlo Simulations
TL;DR: In this article, the authors analyzed the capacity of three-dimensional carbon foams using classical grand canonical Monte Carlo simulations and found that the capacity depends sensitively on the C−H2 interaction potential, and therefore, the results for its weak and strong choices, to offer the lower and upper bounds for the expected capacities.