Subarna Basnet
Massachusetts Institute of Technology
14 Papers
49 Citations
Subarna Basnet is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Genome editing & Electric vehicle. The author has an hindex of 6, co-authored 13 publications.
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Papers
Status of Pure Electric Vehicle Power Train Technology and Future Prospects
Abhisek Karki,Sudip Phuyal,Daniel Tuladhar,Subarna Basnet,Bim Prasad Shrestha +4 more
- 17 Aug 2020
TL;DR: In this paper, the authors provide an overall view of the current pure electric vehicle powertrain technology and possibilities of future green vehicle development to assist in future research in this sector and highlight those technological areas where important progress is expected by focusing on reviewing all the useful information and data available on EV architecture, electrical machines, optimization techniques, and its possibilities for future developments as green mobility.
105
Challenges and prospects for negawatt trading in light of recent technological developments
Wayes Tushar,Tapan Kumar Saha,Chau Yuen,David Smith,Peta Ashworth,H. Vincent Poor,Subarna Basnet +6 more
TL;DR: In this paper, Tushar et al. reviewed the challenges and prospects of negawatt trading in light of recent technological advancements and showed that the necessary methodologies that are needed to establish negAWatt trading as a feasible energy management scheme in the smart grid are already available.
55
Modeling of technological performance trends using design theory
Subarna Basnet,Christopher L. Magee +1 more
- 12 Feb 2016
TL;DR: In this article, the authors present a simple model that provides an explanatory foundation for these phenomena based upon the inventive design process, which assumes that invention arises through probabilistic analogical transfers that combine existing knowledge by combining existing individual operational ideas to arrive at new individual operating ideas.
Function score-based technological trend analysis
TL;DR: A new method to quantitatively evaluate the relative importance of a functionality in a technological domain at a specific time, called function score is proposed, and most of the important functionalities in different periods are well identified by the function score.
15
Pre-existing technological core and roots for the CRISPR breakthrough
TL;DR: Analysis of the full CRISPR roots shows that a very wide array of technological knowledge beyond genome engineering has contributed to achieving theCRISPR breakthrough, and estimates of the estimated rate of functional performance improvement indicate below average rates of improvement and may indicate that CRISpr (and perhaps yet undiscovered) genome engineering developments could evolve in effectiveness over an upcoming long rather than short time period.