FunGlass Receives NVIDIA Academic Grant for High-Performance Computing in Materials Science

We are thrilled to announce that FunGlass has been awarded four NVIDIA RTX 6000 ADA GPUs through the NVIDIA Academic Grants Program. This valuable contribution, made possible by Dr. Alfredo Daniel Sanchez from the VILA Department, will significantly enhance our computational research capabilities in materials science.

About the Project: Prediction and Simulation of High-Entropy Materials

This grant will support our research project, Prediction and Simulation of High-Entropy Materials, led by Dr. Alfredo Daniel Sanchez, in collaboration with esteemed researchers:

  • Dr. Dejan Zagorac, Institute of Nuclear Sciences “Vinča”, Belgrade, Serbia
  • Prof. Dr. Dušan Galusek, Director of FunGlass, Slovakia

Our project aims to predict stable phases and physical properties of novel High-Entropy Oxides (HEOs) using a combination of Density Functional Theory (DFT), Molecular Dynamics (MD), and Machine Learning (ML) within a unified computational framework. HEOs are materials with complex multi-component compositions that exhibit unique properties, making them promising candidates for applications in energy storage, thermal insulation, and catalysis.

By modeling and designing new HEOs with tailored properties, this research will advance scientific understanding and contribute to the development of innovative materials. Additionally, the project will establish a dedicated computational modeling unit at FunGlass, paving the way for future high-performance computing (HPC) capabilities in advanced materials research.

Impact of NVIDIA RTX 6000 ADA GPUs on our Research:

  • Implement and calibrate advanced computational models
  • Predict properties of HEOs characterized at FunGlass
  • Discover new high-entropy materials with optimized properties
  • Enhance collaboration between theoretical and experimental research groups

This initiative will significantly elevate FunGlass’s research capabilities, benefiting multiple teams working on mechanical properties, coatings, and optical materials.

We extend our deepest gratitude to NVIDIA and the NVIDIA Academic Grants Program for their invaluable support. Their contribution will help us push the boundaries of materials science and accelerate groundbreaking discoveries in computational materials research.