Latest Academic Works
Smart denoising for recurrent neural network optimization
This thesis introduces a new optimization method based on deep learning, designed for data influenced by random processes. The main contribution of this method is the combination of advanced noise reduction techniques with recurrent neural network models, which helps to prevent the common problem of overfitting seen when there is …
Probabilistic grammar-based equation discovery
In this thesis, we introduce novel methods for equation discovery (ED), based on the use of probabilistic grammars. ED and symbolic regression address the task of finding a symbolic mathematical model that best describes observed data. Models can be as simple as an algebraic equation or as complex as a …
Spatial and energy distributions of sputtered atoms in thin film deposition techniques
The sputtering yield, the spatial distribution of the sputtered atoms, the energy distribution and the average energy of the sputtered atoms are important for numerous deposition techniques, as they determine the microstructure and the physical properties of the thin films. Using SRIM (Stopping and Range of Ions in Matter) simulations, …
Meshless adaptive solution procedure for efficient solving of partial differential equations
Meshless methods are becoming increasingly popular in computational mechanics and engineering. Their main feature is the ability to manage complex geometries while avoiding the often tedious process of mesh generation required by the traditional methods. Various meshless approximations of linear differential operators appearing in the governing problem have been proposed …
CO2 dynamics in a river system: mass balance, hydrological, geochemical and biochemical impacts
A 3-year systematic investigation (2007–2010) of water chemistry using conventional and stable isotope tracers helped us delineate hydro-biogeochemical processes in the karstic Krka River watershed. By mineralogical and stable isotopic examination of tufa deposits and combining the results with water chemistry, we were able to evaluate the suitability of tufa …
Hydrogen absorption in Ti-Zr-Ni alloys
Our research focused on the formation of Ti40Zr40-xNi20Cux (x=3, 5), Ti45Zr38-xNi17Cux (x=3, 5), Ti53Zr27-xNi20Cux (x=3, 5) and Ti58Zr24-xNi18Cux (x=3, 5) icosahedral (i-phase) quasicrystals by three different techniques and their subsequent characterization and high-pressure hydrogenation. The quasicrystals of this system are thermodynamically stable and they have a relatively good affinity for …
Calculating electrostatic potential around proteins
X-rays are diffracted on electron clouds and thereby provide a mean to observe 3-dimensional structure of molecules at atomic level. Using medium resolution diffraction data (2Å and lower) we have shown that averaging of electron density maps generated from sets of randomly distributed atoms and can reduce noise and model …