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Engineering and Technology

D-Index
52
Citations
9399
World Ranking
3663
National Ranking
1070

Overview

Raghavan Kumar is affiliated with Intel in the United States. Their research spans the fields of Materials Science and Engineering, with a particular focus on subfields such as Biomedical Engineering, Polymers and Plastics, Materials Chemistry, Electronic, Optical and Magnetic Materials, and Electrical and Electronic Engineering.

The scientist's work concentrates on several main topics including Advanced Sensor and Energy Harvesting Materials, Conducting Polymers and Applications, Supercapacitor Materials and Fabrication, Gas Sensing Nanomaterials and Sensors, Tactile and Sensory Interactions, Innovative Energy Harvesting Technologies, and biodegradable polymer synthesis and properties.

Raghavan Kumar has contributed to recent papers published between 2022 and 2024. Notable works include:

  • "Crystalline Porous Material-Based Nanogenerators: Recent Progress, Applications, Challenges, and Opportunities" (2023) published in Small
  • "Effect of surface and contact points modification on the output performance of triboelectric nanogenerator" (2022) published in Nano Energy
  • "A simple and low-cost triboelectric nanogenerator based on two dimensional ZnO nanosheets and its application in portable electronics" (2022) published in Sensors and Actuators A Physical
  • "Revolutionizing waste-to-energy: harnessing the power of triboelectric nanogenerators" (2024) published in Advanced Composites and Hybrid Materials
  • "Oxide based triboelectric nanogenerators: Recent advances and future prospects in energy harvesting" (2024) published in Materials Science and Engineering R Reports

Their publications are often found in journals such as Materials Letters, Energy Technology, ACS Applied Energy Materials, ACS Applied Electronic Materials, and Engineering Research Express. These venues have hosted multiple papers by the scientist, indicating consistent contributions in these areas.

Frequent collaboration partners include Supraja Potu, K. Uday Kumar, D. Haranath, Navaneeth Madathil, and Prakash Kodali. The repeated co-authorship suggests active involvement in collaborative research projects.

Best Publications

  • Modeling of Formation of Gold Nanoparticles by Citrate Method

    Sanjeev Kumar;KS Gandhi;R Kumar

  • A family of 45nm IA processors

    Rajesh Kumar;Glenn Hinton

  • Haswell: The Fourth-Generation Intel Core Processor

    Per Hammarlund;Alberto J. Martinez;Atiq A. Bajwa;David L. Hill

  • Effect of nano-silica in concrete; a review

    P P Abhilash;Dheeresh Kumar Nayak;Bhaskar Sangoju;Rajesh Kumar

  • Studies in bubble formation—I bubble formation under constant flow conditions

    S. Ramakrishnan;R. Kumar;N.R. Kuloor

  • Haswell: A Family of IA 22 nm Processors

    Nasser A. Kurd;Muntaquim Chowdhury;Edward Burton;Thomas P. Thomas

  • A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS

    Gregory K. Chen;Raghavan Kumar;H. Ekin Sumbul;Phil C. Knag

  • Breakage of viscous and non-Newtonian drops in stirred dispersions

    J.S. Lagisetty;P.K. Das;R. Kumar;K.S. Gandhi

  • Modelling of a batch sonochemical reactor

    D.V.Prasad Naidu;R. Rajan;R. Kumar;K.S. Gandhi

  • Studies in bubble formation-II bubble formation under constant pressure conditions

    A. Satyanarayan;R. Kumar;N.R. Kuloor

  • Flow through a plateau border of cellular foam

    Dilip Desai;Rajinder Kumar

  • Effects of recycled fine aggregates on properties of concrete containing natural or recycled coarse aggregates: A comparative study

    Rahul Singh;Dheeresh Nayak;Arunabh Pandey;Rajesh Kumar

  • 5.9 Haswell: A family of IA 22nm processors

    Nasser Kurd;Muntaquim Chowdhury;Edward Burton;Thomas P. Thomas

  • Studies in bubble formation-III

    AK Khurana;Rajinder Kumar

  • On design of a highly secure PUF based on non-linear current mirrors

    Raghavan Kumar;Wayne P. Burleson

  • Interconnect and noise immunity design for the Pentium/spl reg/ 4 processor

    Rajesh Kumar

  • A 4096-Neuron 1M-Synapse 3.8PJ/SOP Spiking Neural Network with On-Chip STDP Learning and Sparse Weights in 10NM FinFET CMOS

    Gregory K. Chen;Raghavan Kumar;H. Ekin Sumbul;Phil C. Knag

  • Coalescence of drops in stirred dispersion. A white noise model for coalescence

    Parichay K. Das;Rajinder Kumar;Doraiswami Ramkrishna

  • A new model for the breakage frequency of drops in turbulent stirred dispersions

    D.K.R. Nambiar;R. Kumar;T.R. Das;K.S. Gandhi

  • An All-Digital Unified Physically Unclonable Function and True Random Number Generator Featuring Self-Calibrating Hierarchical Von Neumann Extraction in 14-nm Tri-gate CMOS

    Sudhir K. Satpathy;Sanu K. Mathew;Raghavan Kumar;Vikram Suresh

  • Liquid holdup in semi-batch cellular foams

    Dilip Desai;Rajinder Kumar

  • Alternative mechanisms of drop breakup in stirred vessels

    Sanjeev Kumar;Vivek Ganvir;C. Satyanand;R. Kumar

Frequent Co-Authors

Ram Krishnamurthy
Ram Krishnamurthy Intel (United States)
Sanu Mathew
Sanu Mathew Intel (United States)
Mark A. Anders
Mark A. Anders Intel (United States)
Sasikanth Manipatruni
Sasikanth Manipatruni Intel (United States)
Vivek De
Vivek De Intel (United States)
Amit Agarwal
Amit Agarwal Indian Institute of Technology Kanpur
Ian A. Young
Ian A. Young Intel (United States)
Wayne Burleson
Wayne Burleson University of Massachusetts Amherst
Sandip Kundu
Sandip Kundu University of Massachusetts Amherst
Doraiswami Ramkrishna
Doraiswami Ramkrishna Purdue University West Lafayette

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