Joseph Frimpong
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Joseph Frimpong

NST, Argonne National Laboratory

I am a postdoctoral researcher at Argonne National Laboratory, where I study the electronic structure and optical properties of materials to advance applications in catalysis, energy, and optoelectronics. My research focuses on computational methods, including density functional theory (DFT), many-body perturbation theory (GW/BSE), and machine learning, to explore structure-property relationships in heterogeneous interfaces, quantum dots, and other nanoscale materials. I am also passionate about leveraging computational chemistry and machine learning to accelerate materials discovery and improve the efficiency of next-generation materials.

In addition to my academic pursuits, I aspire to share my knowledge and experiences through blogging, shedding light on complex topics in a simplified manner.

I write a blog with insights on academic life and computational materials science.

Research Interests

  • Many-body electronic-structure (GW/BSE) and dielectric embedding for complex interfaces.
  • Machine learning models that accelerate excited-state calculations and screening workflows.
  • Quantum dots, nanoscale interfaces, and catalysis-directed materials design.

Latest Posts

  • Oct 17, 2025 – Modern Alternatives to Traditional Linux Commands
  • Nov 17, 2023 – Getting Started with Linux
  • Oct 12, 2023 – Why Graduate School is for You

News

  • Aug 02, 2026 – Poster at the Gordon Research Conference on Computational Materials Science and Engineering — Presented “Accelerating Calculations Based on Many-Body Perturbation Theory” at the 2026 GRC, Computational Methods and Artificial Intelligence Tools for Materials Discovery and Industrial Application (Aug 2-7).
  • Aug 01, 2026 – Talk and poster at the Gordon Research Seminar on Computational Materials Science and Engineering — Presented “Learning Faithful Representations of the Dielectric Matrix for Excited-State Calculations with Generative Modeling” (with J. Zhan, V. Yu, M. Govoni, G. Galli, and M. Chan).
  • Feb 17, 2026 – Named a 2026 BSSw Fellowship Honorable Mention — Recognized as one of six Honorable Mentions in the 2026 Better Scientific Software (BSSw) Fellowship program.
  • Jan 01, 2026 – Professional Development Officer, Postdoctoral Society of Argonne — Serving as Professional Development Officer of the Postdoctoral Society of Argonne for 2026.
  • Oct 31, 2025 – Talk at the Argonne Postdoctoral Research & Career Symposium — Presented “Towards Accelerating Excited State Calculations with Generative Modeling”.

See the full list on the news page.

Connect

Current Tools

Python Git Linux Docker VSCode HTML CSS GitHub Bash LangChain GitHub Copilot Notion MCP Claude Code ChatGPT Hermes Agent (Nous Research) Gradio HuggingFace Blender

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