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Milorad Milosevic

  • Onderzoeksexpertise:High-performance computations for material physics problems (in the past applied to superconducting, magnetic, metal-semiconductor hybrid materials, as well as soft-hard matter hybrids, e.g. large biomolecules with metallic ions/atoms/nanoparticles). Description of quantum effects in atomically-engineered functional materials for specific electronic, magnetic, and/or optical performance. Design, engineering and characterization of electronic devices based on new functional materials.
  • Disciplines:Toegepaste wiskunde, Computerarchitectuur en -netwerken, Distributed computing, Informatiewetenschappen, Informatiesystemen, Programmeertalen, Scientific computing, Theoretische informatica, Visual computing, Andere informatie- en computerwetenschappen, Klassieke fysica, Fysica van gecondenseerde materie en nanofysica, Elementaire deeltjesfysica en hoge-energie fysica, Optische fysica, Andere fysica, Elektronica, Keramische en glasmaterialen, Materialenwetenschappen en -techniek, Halfgeleidermaterialen, Andere materiaaltechnologie
  • Onderzoekstechnieken:Developing theoretical models for physical processes in materials science and biochemistry. Performing simulations using model-suited software platforms and homemade codes. Efficient use of parallel CPU and GPU computing. Computational techniques for simulations ranging from atomistic scale (DFT, QMC), over mesoscale ((reactive) molecular dynamics, finite-difference/element methods) to macro scale (specific solvers for (coupled) nonlinear differential equations, suited for mechanical/thermal/optical and other properties). Calculation of mechanical and transport properties of soft-hard matter composites, specifically elastic transport properties, vibrational frequencies, and coupling of vibrational modes to electrons. Structural calculations using AbInit and LAMMPS. Quantum transport calculations using Quantum Espresso and TranSiesta.
  • Gebruikers van onderzoeksexpertise:These techniques and their application to materials are of direct relevance to any engineer working on R&D related to functional materials, as well as nanotechnology and electronic devices beyond CMOS. Some of the available computational techniques are applicable on macroscale in e.g. stress-tests of materials, analysis of economic data, modelling spreading diseases, or any other problem described by (coupled) differential equations.