Dr. Sergey G. Abaimov is a scientist and educator specializing in experimental applications of nano-materials for sensing (structural health monitoring, pressure/strain, degree of cure, etc.), heating (anti-icing and deicing), strength enhancement, rheology enhancement. Numerical counterparts of these studies are processing of realistic 3D geometry and development of material digital twins. Analytical calculations are accomplished with micromechanics and statistical physics. Other his interests include experimental and numerical permeability and flow properties in porous media, modifications of drilling fluids, modifications of asphalt concrete. 

Sergey was awarded his BS and MS degrees with honor at MIPT, his PhD at University of California (Davis), his Cand. Phys.-Math. Sci at RAS in 2011, and his title Docent in Theoretical physics at MIPT in 2017. Since 2022, Sergey has been working at the Skoltech Center for Petroleum Science and Engineering. Dr. Abaimov has authored over 80 publications in leading international journals (including TOP10 and Nature Index), 5 patents, and serves as a reviewer at top journals, including Advanced Materials, Applied Physics Letters, and Nano Energy. Sergey has supervised 5 PhD theses and numerous MSc diplomas of students now working in academia and industry in Russia and all around the world.

Smart Materials and Systems Lab

3D image-based determination of permeability and flow properties in rocks and composite preforms

1. Benchmark exercise on image-based permeability determination of engineering textiles (international benchmark)

2. Micro-CT based assessment of 3D braided Al2O3 reinforcement uniformity and permeability of all-oxide ceramic matrix composites production processes

3. Computationally efficient methodology to compute virtual permeability of fibrous laminates

4. Efficient permeability upscaling of large tight sandstone digital rocks 

5. Estimation of effective multiphase flow properties in digital rocks by two-scale history matching

Experimental determination of permeability

1. In-plane permeability characterization of engineering textiles based on radial flow experiments: A benchmark exercise (international benchmark)

2. Out-of-plane permeability measurement for reinforcement textiles: A benchmark exercise (international benchmark)

3. Edge flow profile under radial injection at constant pressure: Analytical predictions vs. experiment

4. In-plane measurements and computational fluid dynamics prediction of permeability for biocompatible NiTi gyroid scaffolds fabricated via laser powder bed fusion

Modification of drilling fluids with nano-additives

1. Change in yield point and plastic viscosity of a water-based drilling fluid due to nano-additives

Modifying properties of asphalt concrete & fiberglass recycling

1. Recycling glass fiber-reinforced plastic in asphalt concrete production

2. Recycling of Fiber-Reinforced Polymer Composite by Replacing Gravel in Asphalt Concrete 

Nano-based sensors

1. Method for determining or monitoring the degree of hardening of thermosetting polymers/ Способ определения или мониторинга степени отверждения термореактивных полимеров

2. The method to determine the degree of cure for concrete products/ Способ определения степени твердения бетонных изделий

3. The method to determine or monitor the degree of cure for a product from a composite material based on electroconductive reinforcement or electroconductive filler and thermoset polymer/ Способ определения или мониторинга степени отверждения изделия из композиционного материала на основе электропроводящего армирования или электропроводящего наполнителя и термореактивного полимера

4. The method to determine fluid pressure by corrosion-resistant long-life temperature-independent piezoresistive pressure sensor/ Способ определения давления флюида коррозионностойким долговечным температуронезависимым пьезорезистивным датчиком давления

5. Machine learning for crack detection in an anisotropic electrically conductive nano-engineered composite interleave with realistic geometry

6. Machine learning for nano-level defect detection in aligned random carbon nanotubes-reinforced electrically conductive nanocomposite

Digital twins of CNT nanocomposites

1. Modeling of an effect of uniaxial deformation on electrical conductance of polypropylene-based composites filled with agglomerated nanoparticles

2. Modeling the effect of uniaxial deformation on electrical conductivity for composite materials with extreme filler segregation

3. Conductive CNT-polymer nanocomposites digital twins for self-diagnostic structures: Sensitivity to CNT parameters

4. Uncertainties in electric circuit analysis of anisotropic electrical conductivity and piezoresistivity of carbon nanotube nanocomposites

5. Negative temperature coefficient of resistance in aligned CNT networks: Influence of the underlying phenomena

6. Overcoming the singularity of 1D embedment enhances computational efficiency of CNT nanocomposite thermal analysis multifold

Micromechanics

1. Replacement relations for thermal conductivities of heterogeneous materials having different matrices

2. Technique of rock thermal conductivity evaluation on core cuttings and non-consolidated rocks

3. Multi-step homogenization in the Mori-Tanaka-Benveniste theory