Research

Bridging Fundamental Physics
with Real-World Applications

My research sits at the intersection of condensed matter physics, computational materials science, and nanotechnology. From magnetocaloric effects in manganite perovskites to first-principles modeling of 2D materials for energy storage — here's a deeper look at what I work on.

Flagship Research

Magnetocaloric Effect & Tricritical Behavior in Nd0.7Sr0.3MnO3 Nanoparticles

This is the core of my current research. I investigate how nano-scale confinement fundamentally alters the magnetocaloric response and critical behavior in rare-earth manganites. Using a combination of Maxwell's thermodynamic relations, modified Arrott plot analysis, and scaling theory, I aim to characterize the order of magnetic phase transitions and quantify the magnetic entropy change (ΔSM) and relative cooling power (RCP).

The findings have direct implications for the development of magnetic refrigeration — a promising green alternative to conventional vapor-compression cooling. The tricritical behavior observed in these systems bridges first-order and second-order transitions, offering new insights into how to engineer materials with enhanced cooling performance.

Magnetocaloric Effect Tricritical Point Arrott Plots Manganite Perovskites Magnetic Refrigeration

Active Research Areas

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Magnetocaloric Effect in Manganite Nanoparticles

Investigating the magnetic entropy change (ΔSM) and relative cooling power in Nd₀.₇Sr₀.₃MnO₃ nanoparticles using Maxwell's thermodynamic relations and Arrott plot analysis.

Active
◈

Tricritical Phenomena in Magnetic Systems

Characterizing the nature of magnetic phase transitions using modified Arrott plots, critical exponent analysis, and scaling behavior near the tricritical point in perovskite manganites.

Active
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Nano-scale Effects on Magnetic Ordering

Understanding how particle size reduction and surface effects influence Curie temperature, magnetic anisotropy, coercivity, and the order of magnetic phase transitions in manganite systems.

Ongoing
∞

DFT Studies of 2D Materials

First-principles calculations of boron/carbon-doped WS2/graphene bilayers to understand sodium-ion intercalation and migration pathways — critical for next-generation battery electrodes.

Active
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Sustainable Energy Storage Materials

Developing high-performance supercapacitor composites derived from recycled alkaline batteries. A green materials chemistry approach turning waste into functional energy storage.

Active
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Machine Learning for Materials Discovery

Exploring how ML techniques can accelerate the identification of novel magnetocaloric materials and predict critical behavior directly from composition and structural descriptors.

Ongoing
Methods & Tools

Experimental & Computational Toolkit

A research program combining hands-on experimental synthesis and characterization with state-of-the-art computational methods.

Synthesis

Solid-state reaction, sol-gel method, and co-precipitation for rare-earth manganite nanoparticles and oxide composites.

Structural Characterization

X-ray diffraction (XRD) with Rietveld refinement, SEM, TEM for microstructural analysis.

Magnetic Measurement

VSM and SQUID magnetometry for M(T), M(H) isotherms, AC susceptibility, and magnetocaloric measurements.

First-Principles

DFT calculations (VASP, Gaussian) for electronic structure, band analysis, and ion migration barriers.

Data Analysis

Origin, Igor Pro, and Python (NumPy, SciPy, Matplotlib) for Arrott plot analysis and critical exponent extraction.

Machine Learning

scikit-learn and TensorFlow for predictive modeling in materials informatics and descriptor-based property prediction.

Collaborations & Partners

Phan Thế Long Group

VNU-UET

Magnetocaloric materials synthesis and critical behavior analysis.

Dr. Nguyen Thuy Trang

VNU-HUS

First-principles computational materials science.

VNU Engineering Physics Network

VNU-UET

Interdisciplinary research in nanomaterials and energy storage.