Sundar, S.

1. Regularity and dimension spectrum of the equivariant spectral triple for the odd dimensional quantum spheres
   2008/11/24 by Arupkumar Pal, Pal, Arupkumar, S. Sundar +1 · 3 citations
   Mathematics · #19K33 #46L87 #58B34 #Advanced Topics in Algebra #Algebraic structures and combinatorial models #FOS: Mathematics #Operator Algebras (math.OA) #Quantum Algebra (math.QA) #Random Matrices and Applications #math.OA #math.QA #msc:19K33 #msc:46L87 #msc:58B34
2. On a construction due to Khoshkam and Skandalis
   2015/10/04 by Sundar, S. · 2 citations
   #FOS: Mathematics #Operator Algebras (math.OA)
3. E₀^P-semigroups and product systems
   2017/06/13 by S. P. Murugan, Murugan, S. P., S. Sundar +1 · 1 citation
   Mathematics · #Advanced Operator Algebra Research #Advanced Banach Space Theory #Geometric and Algebraic Topology
4. Toeplitz algebras associated to Endomorphisms of Ore semigroups
   2015/03/03 by S. Sundar, Sundar, S. · 1 citation
   Mathematics · #Advanced Operator Algebra Research #Advanced Topics in Algebra #FOS: Mathematics #Geometric and Algebraic Topology #Operator Algebras (math.OA)
5. Physics informed neural network for forward and inverse radiation heat transfer in graded-index medium
   2024/12/19 by Krishna Murari, Sudha Sundar, Murari, K. +1 · 1 citation
   Engineering · #FOS: Mathematics #Heat Transfer Mechanisms #Numerical Analysis (math.NA) #Radiative Heat Transfer Studies #Thermography and Photoacoustic Techniques
6. Reduced C^*-algebras of Product Systems -- an E₀-semigroup and a Groupoid perspective
   2025/07/27 by Hossain, Md Amir, Sundar, S. · 1 citation
   #FOS: Mathematics #Operator Algebras (math.OA)
7. Induced Isometric Representations
   2023/08/14 by Sarkar, Piyasa, Sundar, S. · 1 citation
   #FOS: Mathematics #Functional Analysis (math.FA) #Operator Algebras (math.OA)
8. A residual weighted physics informed neural network for forward and inverse problems of reaction diffusion equations
   2025/04/09 by Krishna Murari, Murari, K., Pradip Roul +3 · 1 citation
   Physics and Astronomy · Materials Science · Mathematics · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Numerical methods for differential equations