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Swastik Kar

Swastik Kar

Northeastern University · Chemical and Biomolecular Engineering

Active 1979–2026

h-index43
Citations7.2k
Papers34640 last 5y
Funding$1.1M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Swastik Kar is an Associate Professor in the Department of Physics at Northeastern University College of Engineering. His research focuses on materials and nanotechnology, with notable contributions in the development of ultrasensitive ion detection devices, color-sensing technology, and ion-doped two-dimensional nanomaterials. He has been awarded multiple patents for innovations such as devices for color identification, carbon nanoribbons fabrication, and ultrasensitive ion detectors using carbon nanotubes or graphene. Professor Kar has received recognition through various research awards, including the FY24 TIER 1 Interdisciplinary Research Seed Grants and the FY21 TIER 1 Award, supporting his interdisciplinary research projects. His work has also led to startup success, with his startup Guardion winning a NASA Science Mission Directorate Challenge and earning a gold medal at the 2017 MassChallenge. His research contributions are characterized by a focus on nanomaterials and their applications in sensing technologies, advancing the field of materials science and nanotechnology.

Research topics

  • Computer Science
  • Materials science
  • Nanotechnology
  • Physics
  • Optoelectronics
  • Engineering physics
  • Composite material
  • Chemical engineering
  • Condensed matter physics

Selected publications

  • Recent Advances in 2D Material Theory, Synthesis, Properties, and Applications

    ACS Nano · 2023 · 289 citations

    Two-dimensional (2D) material research is rapidly evolving to broaden the spectrum of emergent 2D systems. Here, we review recent advances in the theory, synthesis, characterization, device, and quantum physics of 2D materials and their heterostructures. First, we shed insight into modeling of defects and intercalants, focusing on their formation pathways and strategic functionalities. We also review machine learning for synthesis and sensing applications of 2D materials. In addition, we highlig…

  • Wafer-Scale Lateral Self-Assembly of Mosaic Ti<sub>3</sub>C<sub>2</sub>T<sub><i>x</i></sub> MXene Monolayer Films

    ACS Nano · 2021 · 80 citations

    Bottom-up assembly of two-dimensional (2D) materials into macroscale morphologies with emergent properties requires control of the material surroundings, so that energetically favorable conditions direct the assembly process. MXenes, a class of recently developed 2D materials, have found new applications in areas such as electrochemical energy storage, nanoscale electronics, sensors, and biosensors. In this paper, we present a lateral self-assembly method for wafer-scale deposition of a mosaic-t…

  • 2023 roadmap for materials for quantum technologies

    Materials for Quantum Technology · 2022-11-17 · 52 citations

    articleOpen accessCorresponding

    Abstract Quantum technologies are poised to move the foundational principles of quantum physics to the forefront of applications. This roadmap identifies some of the key challenges and provides insights on material innovations underlying a range of exciting quantum technology frontiers. Over the past decades, hardware platforms enabling different quantum technologies have reached varying levels of maturity. This has allowed for first proof-of-principle demonstrations of quantum supremacy, for ex…

  • The Case for a Defect Genome Initiative

    Advanced Materials · 2024-01-09 · 20 citations

    articleOpen accessCorresponding

    The Materials Genome Initiative (MGI) has streamlined the materials discovery effort by leveraging generic traits of materials, with focus largely on perfect solids. Defects such as impurities and perturbations, however, drive many attractive functional properties of materials. The rich tapestry of charge, spin, and bonding states hosted by defects are not accessible to elements and perfect crystals, and defects can thus be viewed as another class of "elements" that lie beyond the periodic table…

  • Bayesian Optimization with Active Constraint Learning for Advanced Manufacturing Process Design

    IISE Transactions · 2025-03-07 · 11 citations

    articleOpen access

Recent grants

Frequent coauthors

  • Bharat Bhushan

    284 shared
  • Saikat Talapatra

    Southern Illinois University Carbondale

    205 shared
  • K. F. Böhringer

    University of Washington

    151 shared
  • Carlos Drummond

    Université de Bordeaux

    149 shared
  • Rodolfo Miranda

    Madrid Institute for Advanced Studies

    149 shared
  • Amadeo L. Vázquez de Parga

    Madrid Institute for Advanced Studies

    149 shared
  • Thomas Bachmann

    Humboldt-Universität zu Berlin

    148 shared
  • Marina Ruths

    148 shared

Education

  • PhD, Physics

    Indian Institute of Science

Awards & honors

  • Patent for Color-Sensing Technology
  • FY24 TIER 1 Research Development Award
  • Patent for Ion and radiation detection devices based on carb…
  • Creating Ion-Doped 2D Nanomaterials
  • Startup Guardion Wins NASA Science Mission Directorate Chall…

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