Chemical Engineer · Doctoral Researcher

Balint Magyari

Marie Skłodowska-Curie Doctoral Researcher · University of Naples Federico II & University of Crete

I am a chemical engineer and Marie Skłodowska-Curie doctoral researcher with a strong background in solving complex technical problems. My work bridges experimental laboratory research with computational modelling and Python programming — using molecular dynamics simulations to predict the behaviour of advanced smart materials such as vitrimers. Alongside a Cum Laude Master's in Advanced Process Technology, I bring hands-on industrial R&D experience and a track record of turning complex data into effective engineering models.

Balint Magyari

Research & Talks

My research investigates the thermomechanical and rheological behaviour of vitrimers at the molecular level, using coarse-grained MD simulations. The goal is to connect molecular-scale dynamics to macroscopic material properties relevant for industrial processing.

2026

Entropic phase separation in polymer–vitrimer melts

A. A. Rispo Constantinou, B. Magyari, G. Ianniruberto, E. van Ruymbeke, D. J. Read

arXiv preprint, arXiv:2603.25532 [cond-mat.soft]

Traditional plastics demand a choice between durability (thermosets) and reprocessability (thermoplastics). Vitrimers are a recent class of polymer network combining both these qualities. Their increased cost of production can be offset by mixing them with a traditional thermoplastic; however, phase separation in such blends can lead to inhomogeneous materials. In this paper, we adapt an existing model for the free energy of dissociative polymer networks to their associative, vitrimeric counterpart. We test the accuracy of the model's predictions by comparing them with the results of novel molecular-dynamics simulations. We demonstrate that such melts can undergo phase separation even in the absence of energetic interactions between the components. We find furthermore that the phase diagram of the melts is qualitatively similar to that of dissociative systems, and that the critical degree of conversion for the onset of phase separation depends reciprocally on the number of function sites per vitrimer chain.

Conference Presentations

Selected conferences and symposia attended, including oral presentations, poster presentations, and participation as a delegate.

2026

XIX Italian Society of Rheology Conference

Bologna, Italy

Oral Presentation

"Entropic Phase Separation in Vitrimer Blends"

Insights from Molecular Dynamics and Theory

2026

Annual European Rheology Conference

Krakow, Poland

Oral Presentation

"Understanding Entropic Phase Separation in Vitrimer Blends through Molecular Dynamics"

2025

20th European School on Rheology

Leuven, Belgium

School
2025

ReBond Summer School on Polymeric Networks for Sustainable Development

Anacapri, Italy

School Poster Presentation

"Molecular Dynamics Simulations of Vitrimer Melts"

2025

Structure, Strain and Stress in Stretching Flows

Prato, Italy

Poster Presentation

"Molecular Dynamics Simulations of Vitrimer Rheology"

2025

Annual European Rheology Conference

Lyon, France

Poster Presentation

"Molecular Dynamics Simulations of Vitrimer Rheology"

Experience

Research and industrial roles spanning computational modelling, laboratory synthesis, process intelligence, and teaching.

2024 — Present

Doctoral Researcher

University of Naples Federico II & University of Crete

  • Designed and performed large-scale Molecular Dynamics simulations to predict the physical properties and real-world behaviour of advanced smart materials.
  • Engineered custom Python algorithms for statistical modelling (Monte Carlo moves), integrating them with high-performance simulation engines to dynamically control structural changes at runtime.
  • Analysed complex datasets to characterise material properties — from microscopic phase separation to macroscopic linear and nonlinear rheology.
Mar 2024 — Aug 2024

Industrial Intern, Automation & Process Intelligence

MOL Group, Danube Refinery · Százhalombatta, Hungary

  • Engineered a custom Python package to automate fast, efficient data retrieval directly from the refinery's internal PI System.
  • Developed predictive engineering models to analyse and forecast the energy usage of critical refinery assets.
  • Executed complex industrial data solutions during a five-month internship under the supervision of Dr. László Szabó.
2023 — 2024

Master's Research

University of Groningen

  • Synthesised advanced nanomaterials via controlled radical polymerisation, developing polymer-grafted silica nanoparticles for Enhanced Oil Recovery (EOR).
  • Characterised complex fluid dynamics by investigating the rheological properties of the synthesised solutions and their shear-thinning behaviour.
  • Conducted research under the mentorship of Prof. Patrizio Raffa and Prof. Daniele Parisi.
2022

Bachelor's Research

University of Groningen

  • Conducted computational fluid dynamics (CFD) simulations focusing on the underlying mechanics of the Magnus effect.
Apr 2021 — Jun 2023

Teaching Assistant (Multiple Roles)

University of Groningen · Groningen, Netherlands

  • Instructed and evaluated undergraduate students across practical lab courses (Synthesis 1&2, Organic Chemistry), enforcing safety protocols and grading scientific reports.
  • Led weekly tutorials in Linear Algebra and Multivariable Calculus for first-year chemistry and engineering students.
  • Supported faculty as a digital infrastructure assistant during the transition to online teaching.

Education

Chemical engineering training from the BSc through to a Marie Skłodowska-Curie doctorate.

2024 — Present

PhD — Marie Skłodowska-Curie Action “ReBond”

University of Naples Federico II & University of Crete · Naples, Italy & Heraklion, Greece

2022 — 2024

MSc Chemical Engineering — Cum Laude

University of Groningen · Groningen, Netherlands

  • Specialisation: Advanced Process Technology
2019 — 2022

BSc Chemical Engineering

University of Groningen · Groningen, Netherlands

Skills & Tools

A snapshot of the tools, languages, and domain knowledge I use day-to-day.

Simulation & Modelling

Molecular Dynamics Monte Carlo Methods CFD Predictive Modelling Force Field Parametrisation Coarse-Graining

Programming & Data

Python NumPy SciPy Pandas Matplotlib Jupyter Bash Git HPC / SLURM

Domain Knowledge

Statistical Mechanics Polymer Physics Rheology Process Engineering Heat & Mass Transfer Thermodynamics Polymer Synthesis

Scientific Communication

LaTeX Technical Writing Data Visualisation Conference Presentations

Projects & Code

Open-source tools and scripts developed during my research and personal exploration — mostly Python, with a focus on simulation analysis, data pipelines, and scientific visualisation.

LaDa

A Python package for parsing LAMMPS output files (dump trajectories, log files, topology, ACF data) and computing polymer MD observables — including radius of gyration, stress relaxation moduli, dynamic moduli via Prony-series fitting, and LaTeX/pgfplots data export. Installable via pip install lada.

Python LAMMPS MD Simulations NumPy Pandas

MC-exchange

A Python package that performs Monte Carlo bond exchange reactions (bond shifts and swaps) inside live LAMMPS MD simulations, enabling the study of associative covalently adaptive networks (vitrimers). Integrates with LAMMPS via its Python API and supports parallel execution with mpi4py for HPC environments. Available as pip install MC-exchange.

Python LAMMPS Monte Carlo MPI HPC

mdplots

A LaTeX/pgfplots style library of ready-to-use figure templates for MD simulation data — covering MSD, RDF, ISF, stress ACF, and end-to-end ACF plots — with document-width presets, pgfplots figure caching for fast recompilation, and a colorblind-safe Okabe-Ito colour palette.

LaTeX pgfplots MD Simulations Data Visualisation

Languages & Awards

Languages

  • HungarianNative
  • EnglishBilingual
  • SpanishB1
  • ItalianA2

Awards & Activities

  • Duke of Edinburgh Awards — Gold, Silver & Bronze 2016 — 2018 · Completed multi-day wilderness expeditions across France, Scotland, and Belgium.
  • Modern Pentathlon 2009 — 2019 · Competed for ten years; won the Hungarian nationals in relay and finished 4th individually in 2014.
  • Engineering Club, International School of Amsterdam 2018 · Applied scientific and engineering principles to hands-on technical challenges.

Contact

I'm open to research collaborations, industry positions in computational chemistry, process engineering, or materials R&D, as well as interesting side projects. Feel free to reach out.