Deblina Sarkar

  • Dr. Deblina Sarkar
  • Loop | Deblina Sarkar
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    Dr. Deblina Sarkar

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    Loop | Deblina Sarkar

    deblina sarkar

    My research, which combines the interdisciplinary fields of engineering, physics and biology, aims to bridge the gap between nanotechnology and synthetic biology to develop disruptive technologies for electronic computation and create new paradigm for human-machine symbiosis. As a postdoctoral researcher, I leveraged my extensive background in physics, engineering and biosensors along with my current training in neuroscience, and helped in the design of an optical probe, for multiplexed recording of neural activity [ Jnl.

    I also developed the technology to achieve highest expansion factor, reported till date, of tissue-polymer hybrids, utilizing both electrostatic and mechanical forces [ Society for Neuroscience , ], which can lead to super-resolution sub-5 nm imaging of biological specimens.

    I am currently applying this technology to decipher the biomolecular building blocks of the brain in health and neurological diseases. My research has led to more than 40 publications till date citations: The exponential increase in power with the miniaturization of electronic devices, ushers in the dead end of the growth of Information Technology.

    This causes major roadblocks in the development of systems for future data intensive applications and hugely impedes the progress of power-constrained technologies such as portable and implantable healthcare devices.

    Moreover, the increase in power consumption and dissipation, poses a threat to the environment by raising the production of Greenhouse Gas emitted by the fuels used , which contributes towards global warming. This impending energy crisis has roots in the thermal distribution of carriers, which poses fundamental limitation on the steepness of turn-on characteristics or subthreshold swing of conventional field-effect transistors.

    The fundamental nature of the problem suggests the inability of evolutionary solutions to address this growing energy problem and demands radically new innovations on multiple fronts. My research involves a holistic approach towards solving this energy crisis, starting from exploration of beyond-Silicon nanomaterial technology, to in-depth understanding of the physics of fundamentally different device-working mechanisms and finally, experimental demonstration of a novel, highly energy-efficient electronic device.

    This transistor is based on the idea, that I conceived, of a unique tunneling heterojunction combining the best attributes of 3D matured doping technology and 2D excellent electrostatics and ultra-low tunneling barrier materials. I performed simulations to optimize the device design and collaborated with material synthesis expert, Prof. Pulickel Ajayan at Rice University, to obtain the required optimal kind and thickness of 2D material.

    Then, I experimentally realized the conceived heterostructure, characterized its diode properties and finally, built a sub-thermal tunneling-transistor based on it. This technology, allows enormous savings in fuels used to power Information Technology and thus, will help lower global warming and have immense positive impact on our environment. This ultra-scalability enables the inclusion of multiple functionalities within the same chip, making it versatile and extremely attractive for system-on-chip technology.

    I derived analytical formulae for quantum-mechanical band-to-band tunneling probability and current, which helped in the design and optimization of the tunnel transistor discussed above.

    Sensors, specially, biosensors are indispensable for modern society due to their wide applications in public healthcare, national and homeland security, forensic industries as well as environmental protection. Detection of biomolecules at ultra-low concentration sub-picomolar to atto-molar is necessary for screening many cancers, neurological disorders and early stage infections such as HIV.

    However, current medical diagnostic tools either have low sensitivity picomolar detection or require bulky expensive equipment and extensive procedures that cannot be performed outside well-controlled lab environment. Hence, there is an urgent need to develop a biosensor technology which is ultra-sensitive, thus, enabling early disease diagnosis and is scalable, thereby, allowing point-of-care application and extending diagnosis to remote areas.

    Such technology can save billions of lives and cause massive reduction in health-care costs. I collaborated with Prof. While developing energy-efficient electronic devices during my PhD, I became passionately curious about understanding the brain, which can be thought of as an ultimate example of low-power computational system.

    However, understanding how the brain works remains as a major scientific challenge of present time. Decoding the brain requires nanoscale mapping of biomolecules in sub-cellular compartments of neurons the key building blocks of brain as well as understanding large scale neural connections connectomics along with their function or activity.

    I realized that my extensive background in nanotechnology and materials science as well as in the interface of nanoelectronics and biomolecules, can help me to develop disruptive technologies for probing the brain structure and function, with appropriate training in neuro-technology.

    Hence, I joined Prof. Leveraging my expertise in semiconductor device physics, I helped in the design of an optical probe for multiplexed recording of neural activity based on action potential induced change in carrier concentration and hence, refractive index in a semiconducting core, which can be readout by changes in reflectance [ Jnl.

    Optics , 21, ]. Moreover, NEME is much simpler to implement, provides better yield and retention of biomolecules allowing post processing. NEME enables precise mapping of the biomolecular building blocks of cells proteins, transcriptomes RNA , DNA as well as the cellular interconnections that form large scale, 3D circuits, using hardware and reagents easily available in research laboratories. Thus, it is highly advantageous compared to present super-resolution imaging techniques which are difficult to scale to 3D thick tissues and require forbiddingly expensive hardware and expert handling.

    I am currently employing NEME for nanoscale imaging of dense protein networks such as those in the synapses in mouse brain tissues, which can lead to fundamental insights into synaptic transmission. In order to sustain the unprecedented growth of the Information Technology, it is necessary to achieve dimensional scalability along with power reduction, which is a daunting challenge.

    In this dissertation, two-dimensional 2D materials are explored as promising materials for future electronics since they can, not only enable dimensional scaling without degradation of device electrostatics but it is also shown here, that they are highly potential candidate for interconnects and passive devices. It is also demonstrated that these materials can lead to ideal transfer characteristics. Aimed towards on-chip interconnect and inductor applications, the first detailed methodology for the accurate evaluation of high-frequency impedance of graphene is presented.

    Using the developed method the intricate high-frequency effects in graphene such as Anomalous Skin Effect ASE , high-frequency resistance and inductance saturation, intercoupled relation between edge specularity and ASE and the influence of linear dimensions on impedance are investigated in detail for the first time.

    While 2D materials can address the issue of dimensional scalability, power reduction requires scaling of power supply voltage, which is difficult due to the fundamental thermionic limitation in the steepness of turn-ON characteristics or subthreshold swing SS of conventional Field-Effect-Transistors FETs. To address this issue, a detailed theoretical and experimental analysis of fundamentally different carrier transport mechanism, based on quantum mechanical band-to-band tunneling BTBT is presented.

    This dissertation elucidates an underlying physical concept behind the BTBT process and provides clear insight into the interplay between electron and hole characteristics of carriers within the forbidden gap during tunneling. Moreover, a novel methodology for increasing the BTBT current through incorporation of metallic nanoparticles at the tunnel junction is proposed and theoretically analyzed, followed by experimental demonstration as proof of concept, which can open up new avenues for enhancing the performance of Tunneling-Field-Effect-Transistors TFETs.

    The unique advantages of 2D semiconductor for electrical sensors is demonstrated and it is shown that they lead to ultra-high sensitivity, and also provide an attractive pathway for single molecular detectability- the holy grail for all biosensing research.

    Moreover, it is theoretically illustrated that steep turn-ON characteristics, obtained through novel technology such as BTBT, can result in unprecedented performance improvement compared to that of conventional electrical biosensors, with around 4 orders of magnitude higher sensitivity and fold lower detection time.

    With a view to building ultra-scaled low power electronics as well as highly efficient sensors, new generation of van-der Waal's BTBT junctions combining 2D with 3D materials is proposed and experimentally demonstrated, which not only retain the advantages of 2D films but also leverages the matured doping technology of 3D materials, thus harnessing the best of both worlds. These attributes are instrumental in the achievement of unprecedented BTBT current, which is more than 3 orders of magnitude higher than that of best reported 2D heterojunctions till date.

    Finally, with the optimization of the novel heterojunctions, this dissertation also achieves a significant milestone, furnishing the first experimental demonstration of TFETs based on 2D channel material to beat the fundamental limitation in subthreshold swing SS.

    This device is the first ever TFET, in a planar architecture to achieve sub-thermionic SS over 4 decades of drain current, a necessary characteristic prescribed by the International Technology Roadmap for Semiconductors and in fact, the only TFET to date, to achieve so, in any architecture and in any material platform, at a low power-supply voltage of 0.

    It also represents the world's thinnest channel sub-thermionic transistor, thus, cracking the long-standing issue of simultaneous dimensional and power supply scalability and hence, can lead to a paradigm shift in information technology as well as healthcare. Skip to main content.

    Nanoelectronic devices with low dimensional materials, energy-efficient, environment friendly and scalable electronics, New computing devices.

    Deblina Sarkar: Breaking The Wall Of Green Electronics @Falling Walls Lab Berlin on Vimeo

    deblina sarkar

    Dr. Deblina Sarkar - , BR - Family Doctor Reviews & Ratings - RateMDs

    deblina sarkar

    deblina sarkar - Google Scholar Citations

    deblina sarkar