Danil R. Baigutlin

Danil R. Baigutlin

Theoretical physicist and computational materials science researcher working with DFT, Heusler alloys, magnetocaloric and thermoelectric materials, machine learning and high-throughput screening.

Research identifiers
ORCID0000-0002-4130-3812Web of ScienceResearcherID AAN-4717-2020ScopusAuthor ID 57211062810eLibrary/RSCIAuthorID 1170779 · SPIN 6676-3700GitHubDanil-phy-cmp-120ResearchGateauto-generated scientific contributionsCyberLeninkapublication searchGoogle Scholarname searchAcademia.eduname search
Danil Rasulovich Baigutlin
Chelyabinsk State University

Professional Profile

Candidate of Physical and Mathematical Sciences and Junior Research Fellow at the Department of Condensed Matter Physics, Chelyabinsk State University. His research focuses on first-principles and data-driven modelling of magnetic, thermoelectric and magnetocaloric materials.

condensed matter theorymachine learning for materials sciencestrongly correlated systemsHeusler alloysspintronicsmagnetocaloric and thermoelectric materials

Experience and Research Track

2025-present

Software developer

3DiVi Inc., Chelyabinsk

Development and optimization of a YOLOv11-based detector for the Liza Alert volunteer project; dataset preprocessing, TensorRT benchmarking and deployment on NVIDIA Jetson Orin NX.

2020-present

Junior Research Fellow, Department of Condensed Matter Physics

Chelyabinsk State University

First-principles modelling of structural, electronic and magnetic properties of Heusler alloys and intermetallics; DFT, SPR-KKR, ELK, VASP, ML models and genetic algorithms.

2017-2021

Research assistant / laboratory research assistant

Chelyabinsk State University

Research work at the Department of Condensed Matter Physics, computational projects on magnetic materials and Heusler alloys.

2024-2025

Physics and computer science teacher

Foxford online school

Online teaching in computational methods, physics, computer science and algorithmic problem solving.

2020-2025

Lecturer, preparatory courses for exams

Chelyabinsk State University

Teaching physics and computer science for entrance examination preparation.

Chelyabinsk State University

Education

2020-2024

Candidate of Physical and Mathematical Sciences

Chelyabinsk State University

Dissertation: Exchange-correlation effects in strongly correlated Heusler alloys.

2018-2020

Master of Physics

Chelyabinsk State University

GPA 5.00/5.00; master thesis on exchange-correlation effects in strongly correlated systems.

2014-2018

Bachelor of Physics

Chelyabinsk State University

GPA 5.00/5.00; bachelor thesis on elastic properties of multicomponent Heusler alloys.

Skills

Computational and theoretical methods

DFT: VASP, ELK, SPR-KKR, Quantum EspressoDFT+U, Hubbard models and Green functionsMonte Carlo methodsWannier functions and Wannier90meta-GGA and exchange-correlation functionals

Machine learning and programming

PyTorch, scikit-learn, Random Forest and active learninghigh-throughput DFT screeningPython, Bash, MPI and OpenMPdataset preprocessing and model deployment on NVIDIA Jetson / TensorRT

Research communication

scientific writingconference presentationsgrant proposal preparationvisualization of computational results

Awards and Scholarships

2022–2023

Presidential Scholarship of the Russian Federation

Government of the Russian Federation. Federal scholarship awarded for outstanding research achievements in condensed matter physics.

2022–2023

Scholarship of the Legislative Assembly of the Chelyabinsk Region

Government of the Chelyabinsk Region. Named scholarship for contributions to computational physics and materials science.

2020–2022

Academy of Finland Grant No. 343309

LUT University, Lappeenranta, Finland. Competitive grant for postdoctoral research on quantum materials; awarded but not implemented, the project was cancelled due to COVID-19 restrictions.

Scientific Activity

2024–2025

Reviewer for Physical Review B

Peer review of articles on condensed matter theory.

27–31 August 2024

Scientific secretary

All-Russian school-seminar From Atomistic to Macro: AtoM.

16–20 August 2018

Technical assistant

International conference Shape Memory Alloys: SMA 2018.

Open repositories and research scripts show the practical side of the work: VASP workflows, Monte Carlo, genetic algorithms, CHGNet/CGCNN and dataset preparation. The public showcase currently includes 6 repositories. Open IT resources.