arXiv subjects

Sameer Kumar Mallik

Publications and source records attributed to Sameer Kumar Mallik.

7 recordsLinked to original sources

arXiv2026

Breaking the width-scaling limit in high-performance atomically thin 2D nanoribbon transistors

State-of-the-art transistors have been successfully scaled the gate lengths and channel thicknesses down to 5 nm for high-performance and energy-efficient information processing. However, reducing channel width below 40-50 nm remains a bottleneck, as dangling bonds, edge disorder, and lateral depletion suppress drive current and degrade device performance. Here, we break this width-scaling wall using ultra-scaled two-dimensional semiconductor (2DSC) nanoribbon transistors down to 15 nm. In contrast to the conventional scaling rule of degradation of current density upon width scaling, our atomically-thin monolayer and bilayer molybdenum disulfide nanoribbon transistors exhibit enhancement of on-current density of up to 230% and 170%,respectively, followed by a saturation for the narrowest channels down to 15 nm. The ultra-narrow nanoribbon transistors maintain the highest on/off ratios reported so far for similar device dimensions, with improved mobility and threshold-voltage stability, indicating reduced edge scattering and depletion with a stronger electrostatic control. These findings lead to a breakthrough in width scaling rules using 2DSC nanoribbons with enhanced performance at narrower channel widths, which is promising for the ultimate scaling of transistors.

cond-mat.mes-hall↗

arXiv2026

Quantum Resistance in Multilayer Graphene-BiFeO3 Memristor for Brain-Inspired Computing

In the era of big data and the Internet of Things, quantum-level control of conductance states offers a promising route toward high-density data storage and brain-inspired neuromorphic computing. Although quantum conductance (QC) phenomena have been demonstrated in various metal oxide memristors, achieving reliable and precise control over quantized states remains in its infancy. Here, we demonstrate bidirectional quantum conductance states in multifunctional BiFeO3 (BFO) perovskite memristors integrated with multilayer-graphene contacts, enabling higher-order tunability and revealing the potential of perovskite-2D heterostructures for quantum-engineered memory and computing devices. XPS analysis provides detailed insights into oxygen vacancy dynamics in BFO, whereas first-principles density functional theory calculations clearly reveal a strong localized electric field at the graphene-BFO interface. Our devices exhibit current-controlled higher-order QC transitions facilitated by quantum point contact formation, giving rise to quantized conductance states during both SET and RESET processes. Time-lag correlation maps quantify the stochastic evolution of QC states under dynamic voltage-pulse tuning schemes. Notably, the quantized conductance states effectively emulate synaptic potentiation and depression, enabling precise weight modulation for high-accuracy image and digit recognition in convolutional neural networks. These findings establish perovskite-2D heterostructures as promising candidates for QC-driven resistive switching and demonstrate their potential for developing controllable quantum memristors.

cond-mat.mes-hall↗

arXiv2024

Development of large scale CVD grown two dimensional materials for field-effect transistors, thermally-driven neuromorphic memory, and spintronics applications

Semiconductor research has shifted towards exploring two-dimensional (2D) materials as candidates for next-generation electronic devices due to the limitations of existing silicon technology. Transition Metal Dichalcogenides (TMDCs) stand out for their exceptional optoelectronic properties and potential for advanced device integration. This thesis focuses on the synthesis of 2D TMDCs using Chemical Vapor Deposition (CVD) for their potential applications in transistors, memory, and neuromorphic computing. By optimizing the NaCl-assisted CVD method and examining their optical properties through Raman and photoluminescence spectroscopy, challenges such as premature growth, defects, and non-uniformity in MoS2 samples are addressed. The thesis highlights device fabrication techniques and electrical performance of salt-assisted CVD-grown MoS2 field-effect transistors, which exhibit hysteresis-free behavior and high field-effect mobility. A novel etching-free transfer technique is introduced, improving transistor performance and enabling applications in flexible optoelectronics. The thesis also explores monolayer MoS2 mem-transistors, demonstrating multifunctional room temperature transistor and high-temperature multi-level memory behaviour. These devices leverage interfacial physics and ion dynamics to achieve non-volatile memory with multi-level storage capabilities. Additionally, high density memory devices using monolayer WS2 are developed, which demonstrate 6-bit memory operation with neuromorphic biomimetic plasticity. The study also includes 2D TMDCs and their hetero-bilayers as potential 2D dilute magnetic semiconductors via doping, strain engineering using density functional theory and micromagnetic simulations, revealing potential applications in spintronics. This thesis makes significant contributions to advancing 2D materials for next-generation electronics and spintronic devices.

cond-mat.mes-hall↗

arXiv2023

A facile direct device transfer of monolayer MoS2 towards improvement in transistor performances

Transfer techniques based on two dimensional (2D) materials and devices offer immense potential towards their industrial integration with the existing silicon based electronics. To achieve high quality devices, there is an urgent requirement for the etching-free, and clean transfer that retain original semiconducting properties of layered channel materials. In parallel, transfer of metal electrode arrays on the 2D semiconductors also attract attention towards large-scale integration for commercial applications. Here, we demonstrate a facile PMMA-assisted etching-free one-step approach to transfer both 2D channels and metal electrodes without damaging the contact region. The direct device transfer (DDT) technique enables residue-free monolayer MoS2 as channel material towards achieving doping-free intrinsic transistors with enhanced performances. The crystalline quality, strain relaxation, and interfacial coupling effects are studied using Raman and photoluminescence spectra with spatial mapping. Post device transfer, a reduced pinning effect is observed by the effective modulation of gate tunable drain currents in MoS2 transistors at room temperature. Furthermore, the extracted Schottky barrier heights, temperature dependence of threshold voltage shifts, hysteresis evolution, and mobility enhancements validates the improved transistor performances in transferred devices. The proposed DDT method can be utilized to directly transfer array of devices of 2D materials and heterostructures skipping various cumbersome steps in between and hence could offer high performance reliable electronic applications.

cond-mat.mes-hall↗

arXiv2023

Thermally-driven Multilevel Non-volatile Memory with Monolayer MoS2 for Neuro-inspired Artificial Learning

The demands of modern electronic components require advanced computing platforms for efficient information processing to realize in-memory operations with a high density of data storage capabilities towards developing alternatives to von Neumann architectures. Herein, we demonstrate the multifunctionality of monolayer MoS2 mem-transistors which can be used as a high-geared intrinsic transistor at room temperature; however, at a high temperature (>350 K), they exhibit synaptic multi-level memory operations. The temperature-dependent memory mechanism is governed by interfacial physics, which solely depends on the gate field modulated ion dynamics and charge transfer at the MoS2/dielectric interface. We have proposed a non-volatile memory application using a single FET device where thermal energy can be ventured to aid the memory functions with multi-level (3-bit) storage capabilities. Furthermore, our devices exhibit linear and symmetry in conductance weight updates when subjected to electrical potentiation and depression. This feature has enabled us to attain a high classification accuracy while training and testing the Modified National Institute of Standards and Technology datasets through artificial neural network simulation. This work paves the way for new avenues in 2D semiconductors toward reliable data processing and storage with high-packing density arrays for brain-inspired artificial learning.

cond-mat.mes-hall↗

arXiv2020

Fast transient charge trapping in salt-aided CVD synthesized monolayer MoS2 field-effect transistor

Atomically thin semiconductors have versatile future applications in the information and communication technologies for the ultimate miniaturization of electronic components. In particular, the ongoing research demands not only a large-scale synthesis of pristine quality monolayer MoS2 but also advanced nanofabrication and characterization methods for investigation of intrinsic device performances. Here, we conduct a meticulous investigation of the fast transient charge trapping mechanisms in field-effect transistors (FETs) of high-quality CVD MoS2 monolayers grown by a salt-driven method. To unfold the intrinsic transistor behavior, an amplitude sweep pulse I~V methodology is adapted with varying pulse widths. A significant increase in the field-effect mobility up to ~100% is achieved along with a hysteresis-free transfer characteristic by applying the shortest pulse. Moreover, to correlate these results, a single pulse time-domain drain current analysis is carried out to unleash the fast and slow transient charge trapping phenomena. Furthermore, rigorous density functional theory (DFT) calculations are implemented to inspect the effects of the Schottky barrier and metal-induced gap states between drain/source electrode and MoS2 for the superior carrier transport. Our findings on the controllable transient charge trapping mechanisms for estimation of intrinsic field-effect mobility and hysteresis-free transfer characteristic in salt-assisted CVD-grown MoS2 FETs will be beneficial for future device applications in complex memory, logic, and sensor systems.

cond-mat.mes-hall↗

arXiv2020

Thermal conductivity of free-standing silicon nanowire using Raman spectroscopy

Low dimensional systems, nanowires, in particular, have exhibited excellent optical and electronic properties. Understanding the thermal properties in semiconductor nanowires is very important for their applications in their electronic devices. In the present study, the thermal conductivity of a freestanding silicon nanowire (NW) is estimated employing the Raman spectroscopy. The advantage of this technique is that the light source (laser) can be used both as heating and excitation source. The variations of the first-order Raman peak position of the freestanding silicon NW with respect to temperature and laser power are carried out. A critical analysis of effective laser power absorbed by exposed silicon NW, the detailed Raman study along with the concept of longitudinal heat distribution in silicon NW, the thermal conductivity of the freestanding silicon NW of 112 nm diameter is estimated to be ~53 W/m.K.

physics.app-ph↗