Institution
Indian Institute of Technology Kharagpur
Education•Kharagpur, India•
About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Natural rubber & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.
Topics: Natural rubber, Dielectric, Microstructure, Population, Heat transfer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a graphene oxide impregnated mixed matrix membrane (MMM) was prepared by non-solvent induced phase inversion method, which was characterized in terms of molecular weight cut-off, porosity, permeability, average pore size, pore distribution, contact angle, zeta potential and mechanical strength.
204 citations
TL;DR: In this paper, the concept of group philicity (ωg) has been proposed to analyze intermolecular reactivity of some selected molecular systems and it can be found that DFT offers the possibility to calculate important functional group properties from the first principles in a non-empirical way.
204 citations
TL;DR: Ranking alternatives (both qualitative as well as quantitative) in a multicriterion environment, employing experts opinion (preference structure) using fuzzy numbers and linguistic variables, are presented in this paper.
203 citations
TL;DR: Stability of these clusters in the context of addition/removal of an electron or an Al atom is now clearly understood and the principles of the maximum hardness and minimum electrophilicity as well as the nucleus-independent chemical shift values are understood.
Abstract: In this article, we analyze the stability, reactivity, and possible aromatic behavior of two recently reported clusters (Reveles, J. U.; Khanna, S. N.; Roach, P. J.; Castleman, A. W., Jr. Proc. Natl. Acad. Sci. 2006, 103, 18405), viz., Al(7)C(-) and Al(7)O(-) in the light of the principles of the maximum hardness and minimum electrophilicity as well as the nucleus-independent chemical shift values. Stability of these clusters in the context of addition/removal of an electron or an Al atom is now clearly understood.
203 citations
TL;DR: A nonparametric algorithm is presented for the hierarchical partitioning of the feature space that generates an efficient partitioning tree for specified probability of error by maximizing the amount of average mutual information gain at each partitioning step.
Abstract: A nonparametric algorithm is presented for the hierarchical partitioning of the feature space. The algorithm is based on the concept of average mutual information, and is suitable for multifeature multicategory pattern recognition problems. The algorithm generates an efficient partitioning tree for specified probability of error by maximizing the amount of average mutual information gain at each partitioning step. A confidence bound expression is presented for the resulting classifier. Three examples, including one of handprinted numeral recognition, are presented to demonstrate the effectiveness of the algorithm.
202 citations
Authors
Showing all 17290 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rajdeep Mohan Chatterjee | 110 | 990 | 51407 |
| Vijay P. Singh | 106 | 1699 | 55831 |
| Arun Majumdar | 102 | 459 | 52464 |
| Sanjay Gupta | 99 | 902 | 35039 |
| Biswajeet Pradhan | 98 | 735 | 32900 |
| Sandeep Kumar | 94 | 1563 | 38652 |
| Jürgen Eckert | 92 | 1368 | 42119 |
| Praveen Kumar | 88 | 1339 | 35718 |
| Tuan Vo-Dinh | 86 | 698 | 24690 |
| Lawrence Carin | 84 | 949 | 31928 |
| Anindya Dutta | 82 | 248 | 33619 |
| Aniruddha B. Pandit | 80 | 427 | 22552 |
| Krishnendu Chakrabarty | 79 | 996 | 27583 |
| Ramesh Jain | 78 | 556 | 37037 |
| Thomas Thundat | 78 | 622 | 22684 |