Publications
Our research papers, journal articles, and scientific contributions
Quantum Entanglement Dynamics in Multi-Qubit Systems: Experimental Observations and Theoretical Framework
This paper presents a comprehensive study of quantum entanglement dynamics in multi-qubit systems, combining experimental observations with a novel theoretical framework. Our findings demonstrate significant advancements in understanding the stability and manipulation of quantum states in complex environments, with potential applications for quantum computing architectures.
Machine Learning Approaches for Predicting Properties of Novel 2D Materials
We present a novel machine learning framework for predicting electronic, mechanical, and thermal properties of two-dimensional materials. Our approach combines density functional theory calculations with advanced deep learning architectures, enabling rapid screening and discovery of new materials with tailored properties for next-generation electronic and energy applications.
Characterization of Low-Temperature Plasma for Sustainable Agricultural Applications
This study investigates the use of low-temperature atmospheric pressure plasma for agricultural applications, specifically focusing on seed germination enhancement and pest control. We characterize the plasma properties and reactive species generation under various operating conditions, and demonstrate significant improvements in germination rates for several economically important crop species cultivated in Nepal.
High-Throughput Molecular Dynamics Simulations of Thermal Transport in Nanostructured Materials
We present a high-throughput computational framework for studying thermal transport in nanostructured materials using molecular dynamics simulations. Our approach enables rapid investigation of thousands of material configurations, identifying optimal structures for thermal management applications in electronics and energy conversion devices.
Sustainable Energy Solutions for Remote Himalayan Communities: Material Considerations and System Design
This comprehensive study addresses the energy challenges faced by remote Himalayan communities, exploring sustainable solutions based on locally available materials and appropriate technologies. We present a system design methodology that considers environmental conditions, resource availability, and community needs, demonstrating successful implementation in three case study locations.
Optimizing Quantum Algorithms for Resource-Constrained Quantum Processors
We introduce a novel methodology for optimizing quantum algorithms to run efficiently on resource-constrained quantum processors with limited qubit counts and coherence times. Our approach involves innovative circuit compression techniques and error mitigation strategies that significantly improve algorithm performance on current NISQ (Noisy Intermediate-Scale Quantum) devices.