arXiv subjects

Akhilesh Kumar

Publications and source records attributed to Akhilesh Kumar.

4 recordsLinked to original sources

arXiv2025

Charge compensation by phase segregated Sb2Se3 phase in Bi1.95Sb0.05Se3 topological insulator by laser fluence

We report the charge compensation in topological insulator thin films due to the laser fluence-induced segregation of the Sb2Se3 phase. Sb doped Bi2Se3 films were deposited on commercial Si substrates coated with 300 nm of amorphous SiO2 using the Pulsed Laser Deposition technique at different laser fluence of 1.25 J-cm-2, 1.87 J-cm-2, 2.75 J-cm-2, and 3.25 J-cm-2. The grazing x-ray diffraction measurements revealed the growth of rhombohedral Bi2Se3 films on SiO2 with additional peaks corresponding to the Sb2Se3 peaks. The phase fraction of the segregated Sb2Se3 systematically reduces as the laser fluence increases. The magnetoresistance measured at temperatures 3K-20K was compared across different samples deposited at various laser fluences. The sample deposited at 1.25 J-cm-2 exhibits a bulk-insulating nature with an order decrease in the carrier density. The weak antilocalization quantum correction to the magneto conductivity was analyzed using the Hikami Larkin Nagaoka Theory. As the laser fluence increases the deduced value of coefficient alpha, number of conduction channels was found to be 0.5, 1.5, 2.5, and 5.0, and the quantum phase coherence length lphi ranges from 10 nm to 150 nm. The power factor gamma of the temperature dependence of lphi also varies as 0.37, 0.45, 0.69, and 0.92, respectively. The charge compensation due to the non-TI, ptype Sb2Se3 phase is believed to cause the reduction in the bulk carrier density n, and enhanced surface state contribution.

cond-mat.mtrl-sci↗

arXiv2023

Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model

We present four main contributions to enhance the performance of Large Language Models (LLMs) in generating domain-specific code: (i) utilizing LLM-based data splitting and data renovation techniques to improve the semantic representation of embeddings' space; (ii) introducing the Chain of Density for Renovation Credibility (CoDRC), driven by LLMs, and the Adaptive Text Renovation (ATR) algorithm for assessing data renovation reliability; (iii) developing the Implicit Knowledge Expansion and Contemplation (IKEC) Prompt technique; and (iv) effectively refactoring existing scripts to generate new and high-quality scripts with LLMs. By using engineering simulation software RedHawk-SC as a case study, we demonstrate the effectiveness of our data pre-processing method for expanding and categorizing scripts. When combined with IKEC, these techniques enhance the Retrieval-Augmented Generation (RAG) method in retrieving more relevant information, ultimately achieving a 73.33% "Percentage of Correct Lines" for code generation problems in MapReduce applications.

cs.CL↗

arXiv2022

A Thermal Machine Learning Solver For Chip Simulation

Thermal analysis provides deeper insights into electronic chips behavior under different temperature scenarios and enables faster design exploration. However, obtaining detailed and accurate thermal profile on chip is very time-consuming using FEM or CFD. Therefore, there is an urgent need for speeding up the on-chip thermal solution to address various system scenarios. In this paper, we propose a thermal machine-learning (ML) solver to speed-up thermal simulations of chips. The thermal ML-Solver is an extension of the recent novel approach, CoAEMLSim (Composable Autoencoder Machine Learning Simulator) with modifications to the solution algorithm to handle constant and distributed HTC. The proposed method is validated against commercial solvers, such as Ansys MAPDL, as well as a latest ML baseline, UNet, under different scenarios to demonstrate its enhanced accuracy, scalability, and generalizability.

cs.LG↗

arXiv2011

Generation of Hidden Optical-Polarization: Squeezing and Non-Classicality

A monochromatic double-mode coherent light endowed with orthogonally polarized photons propagating collinearly is studied in Degenerate Parametric Amplification. Generation of Hidden Optical- Polarized States is shown by non-zero values of Index of Hidden Optical-Polarization. Squeezing in HOPS is demonstrated by recognizing a Squeezing function. The Non-Classical feature of HOPS is observed by 'degree of Hidden Optical-Polarization' which attains non-classical value 'greater than unity'. The dynamical nature of Generation, Squeezing and Non-Classicality are numerically presented.

quant-ph↗