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Advancing Bioactive Glass: Zirconium and Lithium's Role in Bone Regeneration
This groundbreaking study explored the potential of modifying traditional bioactive glass (58S-BG) by incorporating zirconium (Zr) and lithium (Li), creating a innovative material with promising applications in bone regeneration and medical treatment.
Multifunctional Bioactive Glass: Enhancing Bone Healing Potential
An innovative approach explored improving bioactive glass for bone healing by strategically incorporating strontium (Sr) and titanium (Ti). The research aimed to create a material with enhanced biological and bactericidal properties crucial for advanced medical applications.
Atomic-Scale Structural Analysis of Zr₄₇Cu₄₆Al₇ Metallic Glass Using LAMMPS
A molecular dynamics simulation of Zr₄₇Cu₄₆Al₇ metallic glass was performed using LAMMPS to explore its structural and thermodynamic properties. Post-simulation analyses were conducted using OVITO software, employing radial distribution functions (RDF) and Voronoi tessellation to assess structural equilibrium.
Monte Carlo Simulation of Physical Properties
Monte Carlo methods were employed to simulate physical systems through the Potts and Ising models, implemented using MATLAB. The Potts model was applied to investigate mesoscale behavior, particularly the energy-minimization processes in grain evolution. This included an analysis of the effects of lattice size, spin states, and interaction parameters. The Ising model was used to study magnetism and phase transitions, simulating binary spin systems to explore phenomena such as spontaneous magnetization and critical temperature. These investigations underscore the utility of Monte Carlo simulations, facilitated by MATLAB, in deepening the understanding of material and magnetic systems across various scales.
Solidification Simulation Using Partial Differential Equation (PDE)
A numerical simulation was developed in MATLAB to model heat transfer and solidification in a steel ingot using partial differential equation. Utilizing the explicit finite difference method, the simulation calculated temperature distributions and solidification fractions over time. The model accounted for the varying thermophysical properties of the solid and liquid phases, employing an effective heat capacity approach to represent latent heat during phase transitions.
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