Sakshi Bhatnagar

Rajiv Gandhi Cancer Institute and Research Centre

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Sourajeet Roy

Indian Institute of Technology Roorkee

Yingheng Li

University of Pittsburgh

David Weber

Colorado State University

Kalyan Banerjee

SRM University, Andhra Pradesh

Gauri Kapoor

Rajiv Gandhi Cancer Institute and Research Centre

Payal Malhotra

Rajiv Gandhi Cancer Institute and Research Centre

Amanda Merkely

Colorado State University

Rajveer Marwal

Sandeep Jain

Rajiv Gandhi Cancer Institute and Research Centre

K. Shahi

Indian Institute of Technology Kanpur

Cooperative Institutions

Colorado State University

Rajiv Gandhi Cancer Institute and Research Centre

Indian Institute of Technology Kanpur

Brown University

Sawai ManSingh Medical College and Hospital

Harish-Chandra Research Institute

Indian Cancer Society

University of Pittsburgh

Indian Institute of Technology Roorkee

National Institute of Technology Durgapur

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Performance Assessment of Multi-Walled Carbon Nanotube Interconnects Using Advanced Polynomial Chaos Schemes

Masters Thesis (2019)

Sakshi Bhatnagar

Polynomial Chaos

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Clinical profile and treatment outcome of children with neuroblastoma a single centre experience

Pediatric Hematology Oncology Journal (2022)

Sakshi Bhatnagar Shalini Mishra Sandeep Jain Payal Malhotra Anjali Pahuja

10.1016/j.phoj.2022.10.173

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Analysis of MOSFET density and reduction in power consumption of Carry Select Adder using gate diffusion input

Sakshi Bhatnagar Vimal Kumar Agrawal Rajveer Marwal

The level of integration keeps on emerging which results in more and more complicated signal processors to be incorporated on a single chip. The applications of signal processing not just require huge computation ability but also consume substantial amount of energy. While performance remains to be the chief design toll, reduction in consumption of power has become an alarming area of consideration in today's VLSI system designs. The want for low-power VLSI systems and reduced area arouse the need to fabricate a Carry Select Adder (CSA) using different designing techniques. This paper approaches the designing of CSA using BEC-1 and also with GDI enabled D-latch implemented through Tanner tool. Consumption of power and density of MOSFETs are being compared and analysis of efficient CSA has been done.

Carry (investment)

10.1109/icraie.2016.7939558

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Predictor-Corrector Algorithms and Their Scalability Analysis for Fast Stochastic Modeling of Multi-Walled Carbon Nanotube Interconnects

Sakshi Bhatnagar Yingheng Li Amanda Merkely David Weber Sourajeet Roy

In this paper, a predictor-corrector algorithm for the fast stochastic analysis of multi-walled carbon nanotube (MWCNT) interconnect networks is proposed. This algorithm begins by developing a polynomial chaos (PC) predictor metamodel to capture the coarse features in the stochastic network response. In order to expedite the construction of the predictor metamodel, the compact but approximate equivalent single conductor (ESC) model of the network is used. Thereafter, the finer features of the stochastic network response are captured using a corrector metamodel. This corrector metamodel is formulated using a very sparse set of the rigorous and expensive multi-conductor circuit (MCC) model. The combination of the predictor and corrector metamodels is found to be far more efficient than conventional PC metamodels constructed using the MCC model only. In this paper, the scaling of the efficiency factor with respect to the number of shells in the MWCNT network is quantified.

Metamodeling

Predictor–corrector method

10.23919/emctokyo.2019.8893665

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Modified D-Latch Enabled BEC1 Carry-Select Adder with Low Power-Delay Product and Area Efficiency

Springer eBooks (2016)

Sakshi Bhatnagar Harsh K. Gupta Swapnil Jain

Power–delay product

Carry (investment)

Carry-save adder

Serial binary adder

10.1007/978-81-322-2638-3_51

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Citations (1)

Automated measurement of ac impedance data: Acquisition and analysis

Solid State Ionics (1988)

Sakshi Bhatnagar Shyam L. Gupta K. Shahi

Focused Impedance Measurement

10.1016/0167-2738(88)90294-9

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Citations (16)

Two-well oscillator

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (1978)

Kalyan Banerjee Sakshi Bhatnagar

Very accurate eigenvalues of the two-well oscillator ($H(k, \ensuremath{\lambda})={p}^{2}\ensuremath{-}k{x}^{2}+\ensuremath{\lambda}{x}^{4}$) are obtained by a nonperturbative method. The splitting between the paris of lower eigenvalues is found to be remarkably well estimated by the WKB approximation. It is observed that the scaling properties of the exact eigenvalues with respect to the parameters in the Hamiltonian are retained in the WKB approximation.

WKB approximation

Hamiltonian (control theory)

10.1103/physrevd.18.4767

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Citations (78)

Blinatumomab in relapsed/refractory B all as bridge to allogenic HSCT: Single centre experience

Pediatric Hematology Oncology Journal (2023)

Sakshi Bhatnagar Sandeep Jain Payal Malhotra Gauri Kapoor

Blinatumomab

Refractory (planetary science)

Bridge (graph theory)

10.1016/j.phoj.2023.10.060

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Study on Induction of Isoenzymes of Peroxidase and Polyphenoloxidase in Barley by Plant Extracts

Vegetos (2017)

Sakshi Bhatnagar

10.5958/2229-4473.2017.00166.5

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Hierarchical Polynomial Chaos for Variation Analysis of Silicon Photonics Microresonators

2019 International Applied Computational Electromagnetics Society Symposium (ACES) (2019)

Xinzhe Cao Sakshi Bhatnagar Mahdi Nikdast Sourajeet Roy

This paper presents a polynomial chaos (PC) based numerical approach for the variation analysis of silicon photonics microresonators (MRs) in the presence of inevitable fabrication process variations. In particular, we develop low-dimensional component-level PC metamodels of standard quantities of interest which are then used to model the impact of fabrication process variations on the higher dimensional device-level quantities of interest. We demonstrate that the proposed indirect approach is much more computationally efficient when compared with the conventional approach of directly generating PC metamodels for device-level quantities of interest.

Polynomial Chaos

Variation (astronomy)

Process Variation

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