Search Results - "Ranjan, Mohapatra Nihar"

Dispersion in Placement: Quantification and Insights by Mohapatra, Satyajit, Mohapatra, Nihar Ranjan

“…The linearity of data converters fabricated in modern CMOS processes is typically limited by device mismatch. The dispersion in device placement primarily…”
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Gradient Error Compensation in SC-MDACs by Mohapatra, Satyajit, Mohapatra, Nihar Ranjan

“…High speed data converter architectures such as pipelined analog-to-digital-converters (ADCs) typically consist of large capacitor arrays that are highly…”
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K-means Clustering with ANN based Classification to Predict Current-Voltage Characteristics of Advanced FETs by Maheshwari, Om, Vyas, Dev, Mohapatra, Nihar Ranjan

“…In this work, we proposed a novel data-based methodology using artificial neural network (ANN) based classifier to predict current-voltage (I-V)…”
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Process-Voltage-Temperature Variability Estimation of Tunneling Current for Band-to-Band-Tunneling-Based Neuron by Patil, Shubham, Sharma, Anand, Gaurav, R., Kadam, Abhishek, Singh, Ajay Kumar, Lashkare, Sandip, Mohapatra, Nihar Ranjan, Ganguly, Udayan

“…Compact and energy-efficient synapse and neurons are essential to realize the full potential of neuromorphic computing. In addition, a low variability is…”
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Reliability of Tunneling Regime for Silicon on Insulator-Based Neuron by Patil, Shubham, Kadam, Abhishek, Saikia, Rashmi, Sonawane, Jay, Thakor, Karansingh, Singh, Ajay Kumar, Gaurav, R., Mohapatra, Nihar Ranjan, Lashkare, Sandip, Deshpande, Veeresh, Ganguly, Udayan

“…Low-power operations are essential for implementing large spiking neural networks (SNNs) in real-world applications. An area and energy-efficient demonstration…”
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Substitutional Doping Strategies for Fermi Level Depinning and Enhanced Interface Quality in WS2‑Metal Contacts by Ghaffar, Abdul, Mohapatra, Nihar Ranjan, Maezono, Ryo, Hongo, Kenta

“…Addressing contact resistance challenges at the interface between metals and transition-metal dichalcogenides (TMDs) remains a complex task due to the…”
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Substitutional Doping Strategies for Fermi Level Depinning and Enhanced Interface Quality in WS 2 -Metal Contacts by Ghaffar, Abdul, Mohapatra, Nihar Ranjan, Maezono, Ryo, Hongo, Kenta

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The Design of Ultra Low Power SAR ADC for Implantable Cardioverter Defibrillator (ICD) by Mohapatra, Satyajit, Mohapatra, Nihar Ranjan

“…The frontend Analog to Digital Converters (ADCs) consume substantial power in implanted biomedical devices such as cardiac defibrillators. Their energy…”
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V ₜ Extraction Methodologies Influence Process Induced V ₜ Variability: Does This Fact Still Hold for Advanced Technology Nodes? by Bhoir, Mandar S., Chiarella, Thomas, Mitard, Jerome, Horiguchi, Naoto, Mohapatra, Nihar Ranjan

“…In this work, we have investigated the influence of [Formula Omitted] extraction procedure on overall [Formula Omitted] variability of sub-10 nm [Formula…”
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Vₜ Extraction Methodologies Influence Process Induced Vₜ Variability: Does This Fact Still Hold for Advanced Technology Nodes? by Bhoir, Mandar S., Chiarella, Thomas, Mitard, Jerome, Horiguchi, Naoto, Mohapatra, Nihar Ranjan

“…In this work, we have investigated the influence of <inline-formula> <tex-math notation="LaTeX">{V}_{\text {t}} </tex-math></inline-formula> extraction…”
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The HotSpot Compensation in High Speed Data Converters by Mohapatra, Satyajit, Mohapatra, Nihar Ranjan

“…With 3D integration of ICs, the thermal hot spots are no longer limited to digital chips. Sensitive analog arrays in high performance data converters are prone…”
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PBTI in HKMG nMOS Transistors- Effect of Width, Layout, and Other Technological Parameters by Duhan, Pardeep, Rao, V. Ramgopal, Mohapatra, Nihar Ranjan

“…This paper discusses in detail the effects of transistor width, layout, and technological parameters like gate dielectric and Lanthanum capping layer thickness…”
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A Programmable and Adaptive Dead-Time Controller for Low-Offset Output Generation for Cryo-Cooler Drive Applications by Kumar, Nishant, Gupta, Hari Shanker, Srivastava, Anuj, Mohapatra, Nihar Ranjan

“…This paper proposes a dead-time control circuit to generate independent and adaptive delays for the rise and fall time duration. The circuit comprises a…”
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Analysis and Modeling of the Narrow Width Effect in Gate-First HKMG nMOS Transistors by Sivanaresh, M. Satya, Mohapatra, Nihar Ranjan

“…This paper analyzes and models the narrow width effect (NWE) observed in nMOS transistors fabricated using a 28-nm gate-first CMOS process. It is shown that…”
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An Unified Charge Centroid Model for Silicon and Low Effective Mass III-V Channel Double Gate MOS Transistors by Gupta, Amratansh, Ganeriwala, Mohit, Mohapatra, Nihar Ranjan

“…In this paper, we have analysed applicability of the charge centroid model used in industry standard BSIM-CMG compact model for III-V multi-gate transistors…”
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A 64b/66b Line Encoding for High Speed Serializers by Mohapatra, Satyajit, Gupta, Hari Shanker, Singh, Jatindeep, Mohapatra, Nihar Ranjan

“…With advancement in technology, there is an increase in the size of current files, thus leading to a demand in increase in data transfer rate. Line encoding…”
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A Mismatch Resilient 16-Bit 20 MS/s Pipelined ADC by Mohapatra, Satyajit, Gupta, Hari Shanker, Mohapatra, Nihar Ranjan, Mehta, Sanjeev, Chowdhury, Arup Roy, Pandya, Nisha

“…In various imaging applications with relaxed Integrated Non-Linearity (INL) requirements, the Commutated Feedback Capacitor Switching (CFCS) technique enables…”
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Dissecting Parasitic Capacitance in Nanosheet FETs: An Analytical Perspective by Singh, Aishwarya, Maheshwari, Om, Mohapatra, Nihar Ranjan

“…This work presents an approach to extract and analytically model the parasitic capacitance components in Nanosheet FETs. Along with parallel and fringing…”
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Training Free Parameter Extraction for Compact Device Models using Sequential Bayesian Optimization by Maheshwari, Om, Singh, Aishwarya, Mohapatra, Nihar Ranjan

“…This work presents a computationally efficient approach to extract the compact model parameters without extensive training requirements. Bayesian optimization…”
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Hand Gesture Recognition Based on Surface EMG Using Feature Fusion and Machine Learning Approaches by Sahoo, Jaya Prakash, Sahoo, Goutam Kumar, Mohapatra, Nihar Ranjan

“…Abstract-Surface electromyography hand gesture recognition has received a lot of interest, particularly in the domain of human-computer interfaces and…”
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