Zobrazeno 1 - 10
of 402
pro vyhledávání: '"Krishna Rajan"'
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract Refractory high-entropy alloys (RHEAs) show significant elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine engines. Exploring the vast RHEA compositional space experimentally is challe
Externí odkaz:
https://doaj.org/article/28468ea696de4c2f8f58debbfff0a164
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract This paper introduces the use of topological data analysis (TDA) as an unsupervised machine learning tool to uncover classification criteria in complex inorganic crystal chemistries. Using the apatite chemistry as a template, we track throug
Externí odkaz:
https://doaj.org/article/9134fcce99cf4ca2ad1ff3ff24fd1ef6
Autor:
An Su, Krishna Rajan
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Abstract This paper describes a database framework that enables one to rapidly explore systematics in structure-function relationships associated with new and emerging PFAS chemistries. The data framework maps high dimensional information associated
Externí odkaz:
https://doaj.org/article/6c46512c9dc047eeba81432d7e307a01
Autor:
Yashdeep Phanse, Supraja Puttamreddy, Duan Loy, Julia Vela Ramirez, Kathleen A. Ross, Ignacio Alvarez-Castro, Mark Mogler, Scott Broderick, Krishna Rajan, Balaji Narasimhan, Lyric C. Bartholomay
Publikováno v:
Vaccines, Vol 10, Iss 9, p 1428 (2022)
In the last 15 years, crustacean fisheries have experienced billions of dollars in economic losses, primarily due to viral diseases caused by such pathogens as white spot syndrome virus (WSSV) in the Pacific white shrimp Litopenaeus vannamei and Asia
Externí odkaz:
https://doaj.org/article/4f8e29c5e985486a8229ccf124c67149
Autor:
Scott Broderick, Krishna Rajan
Publikováno v:
Science and Technology of Advanced Materials, Vol 16, Iss 1 (2015)
In this review, we provide an overview of the development of quantitative structure–property relationships incorporating the impact of data uncertainty from small, limited knowledge data sets from which we rapidly develop new and larger databases.
Externí odkaz:
https://doaj.org/article/26ddb14086ad495ea5595d749c9e20e2
Publikováno v:
Data Science Journal, Vol 1, Iss 1, Pp 19-26 (2006)
The relationship between apparently disparate sets of data is a critical component of interpreting materials' behavior, especially in terms of assessing the impact of the microscopic characteristics of materials on their macroscopic or engineering be
Externí odkaz:
https://doaj.org/article/6c1c2de9f5e540329fd9132bbfd7b169
Autor:
Krishna Rajan
Materials informatics: a'hot topic'area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The
Publikováno v:
Chemistry of Materials. 35:1186-1200
Publikováno v:
AIP Conference Proceedings Online; March 2024, Vol. 3035 Issue: 1 p020034-20040, 7p
Autor:
Vishal Chaudhary, Manjunatha Channegowda, Sajid Ali Ansari, Hari Krishna Rajan, Ajeet Kaushik, Virat Khanna, Zhenhuan Zhao, Hidemitsu Furukawa, Ajit Khosla
Publikováno v:
Journal of Materials Research and Technology. 20:2468-2478