Advances in Magnetoelectric Multiferroics
Multiferroic Projects 2026 — From Atomic-Scale DFT to Device-Level COMSOL SimulationMultiferroic materials simultaneously exhibit two or more ferroic orders — ferroelectricity, ferromagnetism or ferroelasticity — in a single phase, giving rise to magnetoelectric coupling that makes them critical for next-generation memory, sensor, and energy harvesting technologies. Computational study of multiferroics requires multi-scale tools: atomic-scale first-principles DFT codes (VASP, Quantum ESPRESSO) for electronic structure, ferroelectric polarization and magnetic ground states; mesoscale micromagnetic codes (OOMMF, Mumax3) for domain wall dynamics and spin textures; statistical mechanics Monte Carlo (Vampire) for magnetic phase transitions and ordering temperatures; and continuum finite element tools (COMSOL) for coupled electrostatic and magnetic field analysis at the device level.
ProjectsatBangalore delivers 40+ complete multiferroic simulation projects for MTech and PhD scholars — with validated input files, convergence benchmarks, computed results (band structures, density of states, polarization vs field loops, magnetization curves, spin texture maps), publication-quality figures, and IEEE-format project reports targeting Physical Review B, npj Computational Materials, Journal of Magnetism and Magnetic Materials and IEEE Transactions on Magnetics.
Multiferroic Research Domains Covered
- First-Principles / DFT at atomic scale — electronic structure, ferroelectric polarization, magnetic ground state (VASP, Quantum ESPRESSO)
- Magnetoelectric coupling — linear magnetoelectric response, DFPT, spin-orbit coupling, DM interaction
- Electrostatics — ferroelectric capacitor hysteresis, polarisation switching, electric field distribution (COMSOL AC/DC)
- Magnetics — magnetostatic fields, magnetoelectric laminate composites, magnetic sensor design (COMSOL AC/DC)
- Micromagnetics — domain formation, domain wall motion, magnetisation reversal, spin dynamics (OOMMF, Mumax3)
- Monte Carlo atomistic spin model — magnetic phase transitions, Curie temperature, disorder effects (Vampire)
- Thin Films & Heterostructures — BiFeO3/La0.7Sr0.3MnO3, BaTiO3/CoFe2O4, multiferroic superlattices
- Multiferroic Devices — energy harvesters, magnetoelectric sensors, ME-RAM memory cells, spintronic logic
- Materials Screening — high-throughput DFT, materials project database, structure-property prediction
Key Multiferroic Materials Simulated
- Single-phase type-I: BiFeO3 (BFO), YMnO3, LuMnO3, TbMnO3, GaFeO3, BaMnO3
- Single-phase type-II: TbMnO3 (spin-spiral), CuO, MnWO4, Ni3V2O8 (frustrated magnets)
- Multiferroic composites: BaTiO3-CoFe2O4, PVDF-Terfenol-D, PZT-Metglas laminates
- 2D multiferroics: VSe2, MoS2-based van der Waals, CrI3, α-In2Se3, NiI2 monolayers
Magnetoelectric Nanoparticles Topics
— What You GetComplete simulation project package for academic submission and PhD/MTech research — all deliverables across every simulation tool and scale.
DFT Simulation Files + Results (VASP / Quantum ESPRESSO)
VASP INCAR, KPOINTS, POSCAR and POTCAR configuration; Quantum ESPRESSO input (.in) and pseudopotential files; k-point convergence test and cutoff energy convergence data; computed band structure, projected density of states (PDOS), charge density, Born effective charges, phonon dispersion and Berry-phase ferroelectric polarization; VESTA visualisation files; OUTCAR and output parsing scripts in Python/bash.
VASP · Quantum ESPRESSO · VESTA · PDOS · Band Structure · PolarizationCOMSOL Project Files (Electrostatics + Magnetics)
COMSOL .mph project file with AC/DC module setup for electrostatic field distribution, ferroelectric P-E hysteresis loop, magnetostatic field computation and magnetoelectric laminate coupling; parametric sweep results; mesh refinement convergence; post-processing plots (field maps, P-E and M-H loops, ME voltage coefficient vs frequency); COMSOL LiveLink Python integration for batch simulation.
COMSOL AC/DC · P-E Loop · M-H Loop · ME Coefficient · Piezo-MagnetostrictiveMicromagnetic + Monte Carlo Files + Report
OOMMF .mif input file for static domain structure; Mumax3 .go GPU simulation script for spin dynamics, hysteresis and magnetisation switching; Vampire input files for Monte Carlo magnetic phase transition and Curie temperature computation; post-processing in Python (matplotlib, numpy); university-format project report covering multiferroic theory, simulation methodology, results, discussion and conclusion; 30-question viva Q&A guide.
OOMMF · Mumax3 · Vampire · Monte Carlo · Curie Temp · Domain Maps · Viva GuideMultiferroic Materials Project Topics
Multiferroic Simulation Tools & PlatformsAll simulation codes, DFT packages, post-processing tools, visualisation software and supporting libraries used across 40+ multiferroic project topics — from atomic-scale first-principles to device-level continuum simulation.
COMSOL Multiphysics
VASP (Vienna Ab initio)
Quantum ESPRESSO (QE)
OOMMF (Micromagnetics)
Mumax3 (GPU Micromagnetics)
Vampire (Monte Carlo Spin)
VESTA (Crystal Visualisation)
Python (pymatgen, ASE, NumPy)
XCrysden / OVITO
phonopy (Phonon DFT)
Materials Project / AFLOW
Wannier90 (Wannier Functions)
Matplotlib / Gnuplot
COMSOL AC/DC + Struct. Mech.
40+ Multiferroic Project Topics 2026 — Tools & Platforms
Complete multiferroic simulation and research topics across nine domains — with recommended tool, simulation type and key output. Each topic includes all input files, computed results, convergence data, figures and full project documentation for MTech and PhD submission.
| # | Multiferroic Project Topic — 2026 | Tool / Platform | Simulation Type / Key Output |
|---|---|---|---|
| ⚛️ VASP First-Principles Projects — Electronic Structure, Ferroelectric Polarization & Magnetic Ground State | |||
| 01 | VASPDFT Study of BiFeO3 Rhombohedral Multiferroic — Ferroelectric Polarization, Band Gap and Spin Ordering Using GGA+U | VASP 6.x, GGA+U (PBE+U), VESTA, Python pymatgen | Ionic + Electronic Relaxation · Berry-Phase Polarization · Spin-Density Map |
| 02 | VASPMagnetic Ground State Determination of YMnO3 Hexagonal Manganite — A-type, G-type, C-type AFM Comparison Using VASP | VASP, GGA+U, MAGMOM Tags, Collinear Spin, VESTA | Total Energy vs Magnetic Config · PDOS · Magnetic Moment per Mn |
| 03 | VASPHubbard-U Correction Effect on Electronic Band Gap and Magnetic Moment in BiFeO3 — U Sweep Study | VASP GGA+U, LDAUTYPE=2, Python VASP output parser | Band Gap vs U · Magnetic Moment vs U · DOS Comparison Table |
| 04 | VASPSpin-Orbit Coupling and Dzyaloshinskii-Moriya Interaction in BiFeO3 Using VASP Non-Collinear Spin (SAXIS) | VASP, LSORBIT=T, NONCOL Spin, GGA+U, VESTA | Canted Spin Texture · DMI Vectors · Anisotropy Energy |
| 05 | VASPStructural Phase Transition and Ferroelectric Instability in BaTiO3 — Cubic-to-Tetragonal Using VASP Phonon Calculation | VASP, IBRION=5/6, phonopy post-processing, VESTA | Soft Mode Instability · Phonon Dispersion · Polarization vs Strain |
| 06 | VASPHigh-Throughput DFT Screening of 2D van der Waals Multiferroics (NiI2, CrI3 Monolayers) Using VASP | VASP, DFT-D3 vdW, SOC, pymatgen workflow automation | Formation Energy · Magnetic Anisotropy · Band Structure · Polarization |
| 07 | VASPStrain Engineering of Ferroelectric Polarization in BiFeO3 Thin Film — Epitaxial Strain DFT Study Using VASP | VASP, Constrained Geometry, Berry Phase, Python matplotlib | Polarization vs Biaxial Strain · Band Gap Modulation · Octahedral Tilt Angle |
| 08 | VASPCharge Density Analysis and Bader Charge of Multiferroic GaFeO3 Using VASP Bader Analysis | VASP, LAECHG=T, bader.exe post-processing, VESTA | Charge Density Difference · Bader Charges · Bond Ionicity |
| 🔬 Quantum ESPRESSO Projects — Phonons, DFPT, Born Charges & Magnetoelectric Response | |||
| 09 | QEBorn Effective Charges and Phonon Dispersion of BaTiO3 Multiferroic Using Quantum ESPRESSO DFPT | Quantum ESPRESSO pw.x + ph.x, DFPT, Python phonopy-QE | Born Effective Charge Tensor · LO-TO Splitting · Phonon DOS |
| 10 | QELinear Magnetoelectric Coupling Coefficient Calculation of Cr2O3 Using Quantum ESPRESSO SOC+DFPT | QE pw.x, ph.x, SOC, Spin-canted calculation, Python | Magnetoelectric Tensor α_ij · ME Response vs Electric Field |
| 11 | QEElectronic Band Structure and Projected Density of States of TbMnO3 Spin-Spiral Multiferroic Using QE | QE pw.x + bands.x, GGA+U, VESTA, Python matplotlib | Band Structure · Fat Bands (Mn 3d / O 2p) · Bandgap vs U |
| 12 | QEWannier Function Construction and Anomalous Hall Conductivity of Multiferroic Using QE + Wannier90 | QE pw.x, pw2wannier90.x, Wannier90, WannierTools | MLWFs · Berry Curvature · Anomalous Hall Conductivity σ_xy |
| 13 | QEStructural Optimisation and Equation of State of BiFeO3 Using Quantum ESPRESSO — PBEsol vs PBE Comparison | QE pw.x + relax, PBEsol/PBE USPP, ev.x, Python | E-V Curve · Bulk Modulus · Lattice Parameters vs Functional |
| 14 | QEFerroelectric Polarization of LiNbO3 Using Quantum ESPRESSO Modern Theory of Polarization (Berry Phase) | QE pw.x, berry_phase.x, norm-conserving USPP, Python | Spontaneous Polarization P_s · Polarization Path in λ-space |
| 🔴 COMSOL Multiphysics Projects — Electrostatics, Magnetics & Magnetoelectric Coupling | |||
| 15 | COMSOLFerroelectric Capacitor P-E Hysteresis Loop Simulation of BiFeO3 Thin Film Using COMSOL AC/DC Module | COMSOL AC/DC Module, Landau-Khalatnikov PDE, Python LiveLink | P-E Loop vs Frequency · Coercive Field vs Thickness · Remnant Polarization |
| 16 | COMSOLElectric Field Distribution in Ferroelectric BaTiO3 Memory Cell Under Switching Pulse Using COMSOL | COMSOL Electrostatics, Time-Domain PDE, Parametric Sweep | E-Field Map · Polarization Switching Time · Current-Voltage Transient |
| 17 | COMSOLPiezoelectric-Magnetostrictive Multiferroic Energy Harvester Design and Power Optimisation Using COMSOL | COMSOL Structural Mechanics + AC/DC, PZT-5H / Terfenol-D | Output Voltage vs Frequency · Power Density · Resonant Frequency Map |
| 18 | COMSOLCoupled Electrostatic-Magnetic Field Analysis in Multiferroic ME Laminate Composite (PZT-Metglas) Using COMSOL | COMSOL AC/DC (Electric + Magnetic), Structural Mechanics | ME Voltage Coefficient α_ME vs Frequency · Magnetic Bias Field Dependence |
| 19 | COMSOLTemperature-Dependent Ferroelectric Phase Transition Simulation (Cubic-Tetragonal-Orthorhombic) in BaTiO3 Using COMSOL Phase-Field | COMSOL Phase-Field PDE, Landau Free Energy, Python Post | Order Parameter vs Temperature · Phase Boundary Map · Domain Nucleation |
| 20 | COMSOLMagnetoelectric Sensor Design for Bio-Magnetic Field Detection Using COMSOL — SQUID Alternative Study | COMSOL AC/DC + Structural, PZT/Metglas, Noise Floor Analysis | Sensitivity fT/√Hz · Signal-to-Noise · Geometry Optimisation |
| 21 | COMSOLElectrostatic Potential and Depolarisation Field in BiFeO3/LSMO Heterostructure Using COMSOL FEM | COMSOL Electrostatics, Multi-Layer Interface BCs, Python Post | Potential Distribution · Depolarisation Field Profile · Interface Charge |
| 22 | COMSOLMagnetostatic Field and Flux Density Distribution in Multiferroic Ring Geometry Using COMSOL Magnetics | COMSOL AC/DC Magnetostatics, Parametric Geometry Sweep | B-Field Map · Flux Density vs Gap · Inductance vs Geometry |
| 🧲 OOMMF Micromagnetic Projects — Static Domain Structures & Magnetisation | |||
| 23 | OOMMFMagnetic Vortex Domain State in Multiferroic BiFeO3 Nanodisk — Radius and Thickness Dependence Using OOMMF | OOMMF 2.x, .mif2 input, Oxs_RKEvolve, Python oommfpy | Vortex Core Position · Magnetisation Map · Phase Diagram vs Geometry |
| 24 | OOMMFStriped Magnetic Domain Formation in Perpendicularly Magnetised Multiferroic Thin Film Using OOMMF | OOMMF, Oxs_UZeeman, DMI Extension Module, oommfpy | Domain Period vs Anisotropy · Stripe Width Map · Energy Landscape |
| 25 | OOMMFHysteresis Loop (M-H) Simulation of Multiferroic Nanoparticle Ensemble Using OOMMF Applied Field Sweep | OOMMF, Oxs_UZeeman Field Sweep, Python Batch Script | M-H Loop · Coercivity vs Particle Size · Remnant Magnetisation |
| 26 | OOMMFAntiferromagnetic Domain Wall Structure and Width in TbMnO3 Thin Film Using OOMMF Extended AFM Module | OOMMF, AFM Extension, Heisenberg Exchange, oommfpy Python | Domain Wall Profile · Exchange Stiffness Map · Néel Wall vs Bloch Wall |
| ⚡ Mumax3 GPU Micromagnetic Projects — Spin Dynamics & Magnetisation Switching | |||
| 27 | Mumax3Spin Dynamics and Magnetisation Switching in BiFeO3 Nanopillar Under Electric Field Pulse Using Mumax3 GPU | Mumax3 v3.10, Go script, NVIDIA GPU, Python matplotlib | Switching Trajectory · Precession Dynamics · Switching Time vs Field |
| 28 | Mumax3Domain Wall Velocity and Depinning Field in Multiferroic Thin Film Under Spin-Transfer Torque Using Mumax3 | Mumax3, STT Parameters, DMI Module, Python Post-Processing | DW Velocity vs Current · Walker Breakdown · Depinning Field |
| 29 | Mumax3Skyrmion Nucleation and Stabilisation in DMI-Active Multiferroic Layer Using Mumax3 — Size vs B-Field | Mumax3, Interfacial DMI, External Field, Python oommf-post | Skyrmion Diameter vs B · Topological Charge · Phase Diagram |
| 30 | Mumax3Spin-Wave (Magnon) Dispersion Simulation in Multiferroic Nanowire Using Mumax3 Broadband Excitation | Mumax3, sinc pulse excitation, 2D FFT Python post, Gnuplot | Dispersion ω(k) · Group Velocity · Spin-Wave Band Gap |
| 31 | Mumax3Multiferroic Racetrack Memory Bit Writing and Reading Simulation Using Mumax3 Domain Wall Shift Register | Mumax3, STT, Field-Free SOT, Python animation, ffmpeg | Domain Velocity · Bit Error Rate vs Current · Power vs Speed |
| 32 | Mumax3Voltage-Controlled Magnetic Anisotropy (VCMA) Switching in Multiferroic Gate Stack Using Mumax3 | Mumax3, Anisotropy Voltage Coupling, Thermal Noise, Python | Switching Probability vs Pulse Width · Energy per Bit · Error Rate Map |
| 🎲 Vampire Monte Carlo Projects — Magnetic Phase Transitions & Ordering Temperature | |||
| 33 | VampireMonte Carlo Simulation of Curie Temperature and Magnetic Phase Transition in BiFeO3 Using Vampire Heisenberg Model | Vampire v5, Heisenberg spin Hamiltonian, Python matplotlib | Magnetisation vs Temperature · Specific Heat Peak · χ vs T · T_C |
| 34 | VampireEffect of Disorder and Dilution on Magnetic Ordering Temperature in Multiferroic Using Vampire Monte Carlo | Vampire, Random Site Dilution, Ensemble Average, Python | T_C vs Dilution · Magnetisation Disorder Map · Percolation Threshold |
| 35 | VampireAtomistic Monte Carlo Simulation of Antiferromagnetic Néel Temperature in Manganite Multiferroic Using Vampire | Vampire, AFM Heisenberg, Staggered Order Parameter, Python | Staggered Magnetisation vs T · T_N Map · Sublattice Magnetisation |
| 36 | VampireMagnon Density of States and Spin Stiffness of BiFeO3 via Vampire Monte Carlo and Linear Spin-Wave Theory | Vampire, LSW analysis, Python magnon DOS, Gnuplot | Magnon DOS · Spin Stiffness D · Magnon Gap · Dispersion Comparison |
| ⚡ Ferroelectric Polarization Projects — DFT + COMSOL Combined Multi-Scale | |||
| 37 | Multi-ScaleMulti-Scale Study of Ferroelectric Switching in BaTiO3 — DFT Energy Barrier (VASP) + Kinetics (COMSOL Phase-Field) | VASP NEB + COMSOL Phase-Field PDE, Python pymatgen | NEB Barrier → Phase-Field Switching · Domain Nucleation · Switching Time |
| 38 | DFT+COMSOLFlexoelectric Effect on Polarization Distribution in Curved BiFeO3 Thin Film — QE DFT + COMSOL FEM | QE (Born charges) → COMSOL Flexoelectric PDE, Python | Flexoelectric Coefficient · Polarization Gradient Map · Strain-Gradient Profile |
| 📐 Thin Films, Heterostructures & Superlattices — VASP + COMSOL Interface Study | |||
| 39 | VASPElectronic and Magnetic Properties of BiFeO3/La0.7Sr0.3MnO3 Heterostructure Interface Using VASP Slab Model | VASP, Slab Model, DFT+U, Dipole Correction, VESTA | Interface DOS · Charge Transfer · Magnetic Reconstruction · Band Alignment |
| 40 | QEStructural Stability and Polarization of BaTiO3/CoFe2O4 Vertically Aligned Nanocomposite Using QE DFT | QE pw.x, Coherent Epitaxy, Berry Phase, Python matplotlib | Interfacial Strain · Polarization Map · ME Coupling at Interface |
| 41 | Mumax3(BiFeO3/BaTiO3)×N Superlattice Magnetic Domain Evolution Under Electric Field Using Mumax3 + COMSOL Coupled | COMSOL (E-field) → Mumax3 (Effective Anisotropy), Python | Layer-Resolved Magnetisation · Coupling Strength vs Period N |
| 📱 Multiferroic Device Applications — COMSOL System-Level Simulation | |||
| 42 | COMSOLMagnetoelectric RAM (ME-RAM) Cell Read/Write Operation Simulation Using COMSOL Coupled Electrostatic-Magnetic | COMSOL AC/DC + Structural, Transient Solver, Python Post | Write Energy · Read Voltage · Switching Time · Retention vs Temperature |
| 43 | COMSOLMultiferroic Strain-Mediated Magnetoelectric Antenna Design for Sub-GHz Wireless Communication Using COMSOL | COMSOL RF + Structural Mechanics, PZT-AlN Stack, S-Parameters | Resonant Frequency · Radiation Pattern · Antenna Efficiency vs ME Bias |
| 44 | MC+DFTMultiferroic Neuromorphic Synapse Device — DFT Polarization States (QE) + COMSOL Leaky-Integrate-Fire Model | QE (Multi-State Polarization) + COMSOL PDE, Python Tensorflow | Synaptic Weight States · Potentiation/Depression · Pattern Recognition Accuracy |
All 44 multiferroic project topics include complete simulation input files (VASP INCAR/POSCAR/KPOINTS, QE .in files, COMSOL .mph, OOMMF .mif, Mumax3 .go, Vampire input), computed results, convergence tests, publication-quality figures, university-format project report and viva Q&A guide. WhatsApp us with your material system, simulation tool and university to get a custom topic recommendation and project preview.
FAQ — Multiferroic Simulation Projects
Common questions from MTech and PhD researchers seeking multiferroic simulation projects using COMSOL, VASP, Quantum ESPRESSO, OOMMF, Mumax3 and Vampire in Bangalore.
Best multiferroic project topics for 2026 include: DFT study of BiFeO3 ferroelectric polarization and magnetic ground state using VASP GGA+U, Born effective charges and phonon dispersion of BaTiO3 using Quantum ESPRESSO DFPT, magnetoelectric coupling coefficient of Cr2O3 using QE SOC+DFPT, COMSOL ferroelectric capacitor P-E hysteresis simulation of BiFeO3, piezoelectric-magnetostrictive energy harvester design using COMSOL, ME laminate composite sensor design, Mumax3 skyrmion nucleation and stabilisation in DMI-active multiferroics, OOMMF magnetic vortex domain in BiFeO3 nanodisk, Vampire Monte Carlo Curie temperature of BiFeO3, and multi-scale BaTiO3 switching study combining VASP NEB + COMSOL phase-field. For PhD, topics targeting Physical Review B, npj Computational Materials or IEEE Transactions on Magnetics are ideal.
Each tool operates at a different length and time scale. VASP and Quantum ESPRESSO are DFT codes working at the atomic scale (1–10 nm, 100s of atoms) — they compute electronic structure, ferroelectric polarization via the Berry phase, magnetic ground state via spin-polarised DFT+U, phonon dispersion via DFPT and Born effective charges. COMSOL Multiphysics is a continuum finite element tool (nm to mm scale) — used for electrostatic field distribution in ferroelectric films, piezoelectric-magnetostrictive coupling in composite devices and magnetoelectric sensor design at the device level. OOMMF and Mumax3 are micromagnetic codes (10 nm to µm scale) — solving the Landau-Lifshitz-Gilbert (LLG) equation to compute static domain structures (OOMMF) and dynamic spin dynamics, domain wall motion, skyrmions and spin waves (Mumax3, GPU-accelerated). Vampire is an atomistic Monte Carlo spin code — solving the Heisenberg spin Hamiltonian for thermodynamic properties: Curie temperature, Néel temperature, magnon DOS and spin stiffness. A complete multi-scale multiferroic project may use all six tools.
Every VASP-based multiferroic project includes: POSCAR (crystal structure from Materials Project / ICSD with correct lattice parameters and Wyckoff positions), INCAR (with ENCUT, EDIFF, EDIFFG, NSW, IBRION, ISPIN, MAGMOM, LDAU, LDAUU, LDAUJ flags set for the specific calculation type — ionic relaxation, single-point, NEB or Berry-phase polarization), KPOINTS (with k-mesh convergence test data table showing energy vs k-grid), POTCAR (PAW pseudopotentials — PBE functional), submission script for HPC cluster (SLURM/PBS), OUTCAR and CONTCAR post-processing Python scripts using pymatgen/vaspkit for band structure, DOS and polarization extraction, VESTA .vesta files for charge density and spin density visualisation, and k-point + ENCUT convergence test result plots showing total energy vs cutoff and vs k-mesh density.
Yes. Multiferroic simulation projects are strongly aligned with top journals. DFT/first-principles projects (VASP, Quantum ESPRESSO) target: Physical Review B (APS, IF ~3.7), npj Computational Materials (Nature, IF ~12.2), Physical Review Materials (APS, IF ~3.4) and Computational Materials Science (Elsevier, IF ~3.3). COMSOL device simulation projects target: Journal of Applied Physics (AIP, IF ~2.7), Sensors and Actuators A (Elsevier, IF ~4.6) and IEEE Transactions on Magnetics (IF ~2.1). Micromagnetic (Mumax3/OOMMF) and Monte Carlo (Vampire) projects target: Journal of Magnetism and Magnetic Materials (Elsevier, IF ~2.7), IEEE Transactions on Magnetics and Journal of Physics D: Applied Physics (IOP, IF ~3.3). We provide complete publication support — manuscript writing, figure preparation, journal selection, Turnitin correction below 10%, LaTeX formatting and reviewer response letter.
VASP (closed-source, licensed) requires a Linux HPC cluster or multi-core workstation — typically 8–32 CPU cores and 16–64 GB RAM for unit-cell DFT calculations of 5–40 atom supercells (BiFeO3, BaTiO3 unit cells are feasible on a 4-core i7 laptop in 1–4 hours; 2×2×2 supercells with GGA+U require 16–32 cores and 4–12 hours). We provide pre-computed VASP output files (OUTCAR, CONTCAR, EIGENVAL, DOSCAR, CHGCAR) so you can analyse and plot results without needing a VASP licence yourself. Quantum ESPRESSO is open-source and runs on any Linux system including cloud (Google Colab, AWS). COMSOL requires a licensed installation — we provide the .mph file with pre-solved results for post-processing. Mumax3 requires any NVIDIA GPU (even a GeForce GTX 1060 laptop GPU is sufficient for most 256×256×1 simulations). OOMMF and Vampire are free, open-source and run on CPU — compatible with any Windows or Linux machine.