Výsledky vyhledávání - "FARUQUE, MD. OMAR"

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TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans

Autor: Faruque, Md Omar, Jamieson, Peter, Patooghy, Ahmad, Badawy, Abdel-Hameed A.

Existing Hardware Trojans (HT) detection methods face several critical limitations: logic testing struggles with scalability and coverage for large designs, side-channel analysis requires golden reference chips, and formal verification methods suffer

Externí odkaz: http://arxiv.org/abs/2412.07636

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Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design

Autor: Faruque, Md Omar, Jamieson, Peter, Patooghy, Ahmad, Badawy, Abdel-Hameed A.

Traditionally, inserting realistic Hardware Trojans (HTs) into complex hardware systems has been a time-consuming and manual process, requiring comprehensive knowledge of the design and navigating intricate Hardware Description Language (HDL) codebas

Externí odkaz: http://arxiv.org/abs/2412.02816

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h-CMD: An efficient hybrid fast centroid and quasi-centroid molecular dynamics method for the simulation of vibrational spectra

Autor: Limbu, Dil K., London, Nathan, Faruque, Md Omar, Momeni, Mohammad R.

Developing efficient path integral (PI) methods for atomistic simulations of vibrational spectra in heterogeneous condensed phases and interfaces has long been a challenging task. Here, we present the h-CMD method, short for hybrid centroid molecular

Externí odkaz: http://arxiv.org/abs/2411.08065

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Fine-tuning Microporosity of Crystalline Vanadomolybdate Frameworks for Selective Adsorptive Separation of Kr from Xe

Autor: Akter, Suchona, Li, Yong, Kim, Minbum, Faruque, Md Omar, Peng, Zhonghua, Thallapally, Praveen K., Momeni, Mohammad R.

Publikováno v: Langmuir 2024, ASAP

Selective adsorptive capture and separation of chemically inert Kr and Xe noble gases with very low ppmv concentrations in air and industrial off-gases constitute an important technological challenge. Here, using a synergistic combination of experime

Externí odkaz: http://arxiv.org/abs/2407.19246

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High throughput screening, crystal structure prediction, and carrier mobility calculations of organic molecular semiconductors as hole transport layer materials in perovskite solar cells

Autor: Faruque, Md Omar, Akter, Suchona, Limbu, Dil K., Kilway, Kathleen, Peng, Zhonghua, Momeni, Mohammad R.

Publikováno v: Crystal Growth & Design 2024 24 (21), 8950-8960

Using a representative translational dimer model, high throughput calculations are implemented for fast screening of a total of 74 diacenaphtho-extended heterocycle (DAH) derivatives as hole transport layer (HTL) materials in perovskite solar cells (

Externí odkaz: http://arxiv.org/abs/2407.08957

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Numerical Analysis of a Highly Sensitive SOI MRR Refractive Index Sensor with Performance Enhancement using Graphene and Gold

Autor: Intisar, Tasin, Alam, Ahmed Shadman, Hoque, Ishtiaqul, Faruque, Md Omar

This study proposes a simulation-based design for a Silicon-On-Insulator (SOI) ring resonator with a Figure of Merit (FOM) of 56.15 and a high sensitivity of up to 730 nm/RIU. The Finite-Difference Time-Domain (FDTD) technique was used to assess and

Externí odkaz: http://arxiv.org/abs/2312.02304

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Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders

Autor: Islam, Md Maidul, Faruque, Md Omar, Butterfield, Joshua, Singh, Gaurav, Cooke, Thomas A.

Power quality (PQ) events are recorded by PQ meters whenever anomalous events are detected on the power grid. Using neural networks with machine learning can aid in accurately classifying the recorded waveforms and help power system engineers diagnos

Externí odkaz: http://arxiv.org/abs/2306.06124

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