Multiscale Materials Modeling

My research expertise focuses on the multiscale modeling of materials. At the electronic scale, I use VASP/DFT (NEB/phonons) to produce energetics and rate constants. I up-scale to LAMMPS/MD to obtain transport, interfacial, and mechanical properties, and pass physics-informed parameters to ANSYS for device- and component-level thermo-mechanical performance and process simulations. I pay special attention to verification/validation, HPC efficiency, and uncertainty quantification so that predictions are always reliable and decision-ready.

Articles, Presentations, and Posters

September 2025

Computational Analysis of Blood Flow through a 3D Bifurcating Artery: Newtonian and Non-Newtonian Behavior, Stenosis, and Treatment

This study uses both Newtonian and non-Newtonian fluid models to simulate blood flow in a three-dimensional model of a human bifurcating artery. The focus is on comparing flow characteristics, particularly Wall Shear Stress (WSS), under normal conditions and with an introduced obstruction, simulating stenosis. The impact of stent placement on flow dynamics, such as variations in shear stress, pressure, and velocity, is also investigated in this work. By providing insights into artery behavior in pathological settings and the biomechanical effects of stenting, these simulations help to inform more intelligent approaches to vascular treatment and stent design. 

Read more »

Hydrocarbon Interactions with Silicon Carbide: A Quantum Chemistry Insight

Chemical vapor infiltration (CVI) is used for manufacturing extreme-condition materials with enhanced properties. However, reactive surface gas interactions yielding material deposition into the porous system are not well-understood. As a part of our ongoing Department of Energy (DOE) project, we studied the dynamic properties of heterogeneous reactions between silicon carbide (SiC) and various hydrocarbon molecules during the CVI process. The precursors generated by the thermal breakdown of methyl trichlorosilane (MTS, CH3SiCl3) were studied in this work. The surface reaction consists of multiple steps. In the beginning, we focused on two reactions: the dissociation of Ethane and ethylene on the SiC surface. The Density Functional Theory-based Vienna ab initio Simulation Package (VASP) was used as the calculation tool. The reaction barrier for hydrogenation was calculated using the Transition State Search. Understanding the activation energy barriers related to the precursor molecules' adsorption, surface diffusion, and chemical reactions on the substrate is the key to optimizing CVI conditions to produce higher-quality materials in a shorter time.

Read more »

Quantum Mechanical Insights into Heterogeneous Surface Reactions in Chemical Vapor Infiltration

This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide (SiC) deposition during Chemical Vapor Infiltration (CVI). High-performance applications require SiC-based ceramic matrix composites (CMCs); however, producing them presents challenges due to limited deposition rates, high energy consumption, and uneven coating quality. To overcome these challenges, a comprehensive understanding of the SiC formation mechanism is necessary. Modeling surface reactions of MTS decomposition on the SiC substrate using density functional theory (DFT) calculations with the Vienna Ab initio Simulation Package (VASP) is the key point of current research. 

Read more »

Density Functional Theory Modeling of Heterogeneous Reactions of Hydrocarbon Intermediates on Silicon Carbide: Surrogate Kinetic Model Development for Chemical Vapor Infiltration

 This study investigates the decomposition mechanism of Methyl trichlorosilane during Silicon Carbide deposition from Chemical Vapor Infiltration to produce SiC-based ceramic matrix composites. High-performance applications require SiC-based materials; however, producing them presents difficulties due to limited deposition rates, high energy consumption, and uneven coatings. To overcome these challenges, the mechanism of SiC formation needed to be understood completely. Modeling surface reactions of decomposition on the substrate using Density Functional Theory is the key point of current research. By focusing on the adsorption, reaction, and desorption mechanisms that control SiC development, our method incorporates quantum mechanical models. Using Transition State Theory, the study examines reaction routes and identifies key intermediates, including methyl and other hydrocarbon species. The findings expand our knowledge of the rate-limiting steps in MTS breakdown and offer guidance for refining CVI/CVD procedures, which could increase material quality and deposition efficiency for cutting-edge engineering applications.

Read more »

Nanomaterials

Molecular Dynamics

Density Functional Theory

Computational Fluid Dynamics

Research Tools

VASP

Quantum mechanical calculation

LAMMPS

Molecular Dynamics

ANSYS

Design Director

Alteryx 

Data Analysis

R Studio

Data Analysis

Python

Data Analysis

Excel

Data Analysis