AB Aabiskar Bhusal Researcher & Engineer

Computational Physics · Software · Engineering

Turning molecular insight into useful scientific systems.

I am Aabiskar Bhusal, a research associate at Physics Research Initiatives in Pokhara, Nepal. My work connects molecular simulation, machine learning, high-performance computing, and software development to solve research problems with practical engineering value.

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Professional Story

Researcher, builder, and technical mentor.

My career began in physics and evolved into a cross-disciplinary practice: designing computational experiments, interpreting simulation data, building software tools, and helping students turn research questions into defensible results.

At Physics Research Initiatives, I contribute to research on CO2 huff-and-puff, enhanced oil recovery, nanopore behavior, MOF-based CO2 capture, and molecular-scale materials behavior. Alongside research, I support dissertation supervision, editorial work for Himalayan Physics Journal, and Python training for scientific audiences.

Pokhara, Nepal Physics Research Initiatives Scientific computing Academic editing

Technical Expertise

A research stack built for computation-heavy science.

From atomistic simulation to production websites, I use software as a practical instrument for discovery, analysis, and communication.

ML

Machine Learning for Materials

Regression, classification, clustering, and data-driven screening for materials science questions, including porous materials and gas adsorption problems.

MD

Molecular Dynamics

LAMMPS workflows for system setup, force-field selection, simulation execution, analysis, and visualization of classical molecular systems.

HPC

High-Performance Computing

SLURM-based job scripting, multi-node resource management, and large-scale simulation/data analysis on shared computing infrastructure.

QC

Electronic Structure

Gaussian-based quantum chemistry calculations for molecular orbitals, charge density, electrostatic potential, and related electronic properties.

PY

Scientific Python

Python, NumPy, SciPy, Pandas, Matplotlib, and Seaborn for research automation, data analysis, visualization, and practical training.

WEB

Web Development

Responsive websites and data-facing interfaces using HTML, CSS, JavaScript, deployment workflows, and maintainable front-end patterns.

Tools & Languages

Comfortable across research code, simulation software, and publication tooling.

Python LAMMPS Material Studio Gaussian Pandas Fortran LaTeX JavaScript SLURM Data Visualization

Education & Experience

A path through physics, research computing, data, and publishing.

Editor, Himalayan Physics Journal

Overseeing peer review, coordinating with authors and reviewers, and preparing finalized manuscripts for LaTeX-based publication workflows.

Research Associate, Physics Research Initiatives

Supporting dissertation research, computational modeling, CO2 huff-and-puff collaboration, molecular simulation, and Python training programs.

Co-Editor, Himalayan Physics Journal

Contributed to editorial operations, manuscript handling, peer-review quality, and journal production processes.

Data Analyst, Pokhara Investment Company

Analyzed NEPSE market data, evaluated companies through fundamental and technical indicators, built Python tools, and managed the company website.

Master's Degree in Physics

Prithvi Narayan Campus, Tribhuvan University. Graduated with a 3.59/4.0 CGPA.

Bachelor's Degree in Physics

Prithvi Narayan Campus, Tribhuvan University. Completed with First Division distinction.

Selected Work

Projects that connect research, data, and software.

Molecular Simulation

CO2 huff-and-puff in shale nanopores

Collaborative research modeling CO2 behavior in inorganic nanopores, supporting enhanced oil recovery insight and minimum miscibility pressure estimation.

  • LAMMPS simulation workflows
  • Nanopore fluid behavior
  • Research collaboration with China-based partners

Computational Materials

CO2 capture in porous materials

Research contributions around CO2 sequestration in MOF-177 and MOF-74, including hybrid simulation approaches and humidity-sensitive capture behavior.

  • GCMC and molecular dynamics context
  • Gas adsorption analysis
  • Materials discovery perspective

Data Product

Stock valuation and market analysis tooling

Built Python-supported workflows for identifying undervalued and overvalued stocks using real-time Nepal Stock Exchange data and market indicators.

  • Financial ratios and trend analysis
  • Python automation
  • Web publishing for investment information

Training & Mentorship

Python learning programs for researchers

Designed and facilitated Python training that helps students and professionals move from basic syntax to practical scientific workflows.

  • Data analysis foundations
  • Scientific visualization
  • Hands-on coding sessions

Research Contributions

Published work across molecular simulation, materials, and energy systems.

Selected publications and conference contributions rewritten into a concise research profile.

2025

Humidity-dependent CO2 capture in ultraporous MOF-177

Hybrid GCMC/MD simulation study in Computational and Theoretical Chemistry examining how humidity affects CO2 capture in ultraporous materials.

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2024

Mechanochemistry of silicon carbide nanotubes

Hybrid density-functional work on silicon carbide nanotubes published in RSC Mechanochemistry.

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2023

Shale oil and CO2 miscibility in inorganic nanopores

Molecular insight into CO2 huff-and-puff and minimum miscibility pressure estimation in Chemical Engineering Science.

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2023

Melting curve of cobalt using molecular dynamics

Molecular dynamics simulation study published in Prithvi Academic Journal.

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Conference presenter Virtual LAMMPS Workshop & Symposium 2023
Certified learner DataCamp, University of Michigan, University of Helsinki
Languages Nepali, English, Hindi

Contact

Open to research collaboration, scientific software, and technical consulting.

If your work involves computational physics, molecular simulation, data-heavy engineering, or practical software for research teams, I would be glad to connect.

Email aabiskar@pri.org.np GitHub @AabiskarBhusal LinkedIn AabiskarBhusal
Location Pokhara, Nepal