Chenbo Min

chenbom@andrew.cmu.edu
+1 (412) 450-7821
585 South Negley Avenue, APT 18, Pittsburgh, PA 15232

Education

Carnegie Mellon University (CMU), Pittsburgh, Pennsylvania, United States
09/2024 - Present
Major: Materials Science and Engineering
Degree: Master of Engineering
GPA: 3.75/4.0
South China University of Technology (SCUT), Guangzhou, Guangdong Province, China
09/2020 - 07/2024
Major: Materials Science and Engineering
Degree: Bachelor of Engineering
GPA: 3.57/4.0
Award: The Third Prize of School Scholarship (Top 33%), 2021; The Second Prize of School Scholarship (Top 20%), 2023

Publication

Research

Computational Study of Quantum Materials and Interfaces
09/2024 - Present
Research Assistant, Supervisor: Prof. Noa Marom, Department of Materials Science and Engineering
Density Functional Theory Study of Magnetism in PdCrO₂ and V-Substituted Derivatives
05/2025 - 07/2025
Research Assistant, Supervisor: Assis. Prof. Juan R. Chamorro, Department of Materials Science and Engineering
Objective: Investigated the impact of vanadium substitution on the electronic and magnetic properties of PdCrO₂ using density functional theory (DFT), aiming to understand doping-induced modifications to magnetic ordering and possible phase transitions.
Simulation: Performed noncollinear DFT+U calculations with spin–orbit coupling in VASP; generated realistic doping configurations for V concentrations from 10% to 90% using the ICET SQS framework; analyzed band structures, projected DOS, magnetic moments and spin polarization across vanadium concentrations.
Outcome: Constructed √3×√3 magnetic supercells consistent with the Takatsu et al. model and, using DFT+U (e.g., UCr = 4 eV, JCr = 0.9 eV; UV = 3 eV), reproduced the Pd-dominated electronic structure (Pd dₓ²-y² states at the Fermi level while Cr 3d states are pushed away). A systematic survey across 10–90% V showed no abrupt anomalies or clear, monotonic trend in magnetic order, providing concrete computational evidence to guide follow-up searches for alternative magnetic ground states.
Solution-Processed CdTe Nanocrystal Solar Cells: Doping and Alloy Engineering
05/2022 - 08/2024
Research Assistant, Supervisor: Assoc. Prof. Qin Donghuan, Research Institute of Optoelectronic Materials and Devices
Objective: Aimed to promote the performance of CdTe-based nanocrystal (NC) solar cells through rationally controlled doping (phosphine and copper), alloy engineering, and effective surface/interface treatments; explored strategies for band structure modulation and back contact interface optimization.
Materials Synthesis: Prepared CdSe, CdTe, CdSeₓTe₁₋ₓ alloy NCs via heat injection by varying precursor ratios; synthesized sodium tetradecanoate, cadmium myristate, CdSe and CdTe NCs by solvothermal methods; obtained peony- and black-colored NC solutions.
Simulation: Performed computational modeling of CdTe NCs; explored Cu-doped CdTe NCs and triphenylphosphine ligand exchange; optimized structures with the ORCA (B97-3c) and CP2K (PBE) to calculate HOMO–LUMO gaps and plotted DOS diagrams.
Device Characterization: Deposited NC thin films by layer-by-layer annealing, fabricated multilayered ITO/ZnO/CdSe/CdTe NC solar cells, and deposited Au back contacts. Devices were characterized using solar simulators, UV–Vis–NIR spectroscopy, X-ray photoelectron spectroscopy, atomic force microscopy, impedance analyzer, and transient photovoltage spectrum.
Outcome: Achieved improved photovoltaic performance of solution-processed CdTe NC solar cells, with phosphine-doped devices showing a PCE increase to 5.41% (41% higher than undoped). Alloy engineering and computationally studied Cu substitution further clarified the mechanism of enhanced energy level alignment and interfacial charge transfer. The alloy engineering project was rated as an excellent undergraduate graduation thesis.

Extracurricular Activities

Skills and Others

Software

  • Origin
  • VESTA
  • VASP
  • CP2K
  • FHI-aims
  • ORCA
  • Jupyter Notebook

Tools

  • UV-VIS-NIR Spectrometer
  • Solar Simulator
  • Atomic Force Microscopy
  • Impedance Analyzer
  • Transient Photovoltage Spectrum