Material Science
Engineering the next generation of matter through quantum-level simulation and atomic design.
Synthesizing the Future
The bottlenecks of industrial progress are material in nature. Designing higher-density batteries or room-temperature superconductors requires Ab Initio calculations and Molecular Dynamics (MD) at unprecedented scales. Malgukke provides the high-performance orchestration to simulate electron correlations and molecular interactions.
Atomic-Level Design
Modeling new superconductors and battery chemistries at the quantum level. We utilize Density Functional Theory (DFT) to predict the electrical and thermal properties of novel alloys and solid-state electrolytes before they reach the lab.
- High-throughput crystal screening
- Solid-state battery interface modeling
Polymer & Composite Modeling
Simulating complex molecular chains for high-strength, lightweight industrial materials. Our infrastructures resolve the mechanical stress and fatigue life of carbon-reinforced polymers and innovative biomaterials.
- Coarse-grained molecular dynamics
- Thermoplastic stress distribution
Material Computational Pipeline
| Material Focus | HPC / AI Action | Scientific Outcome |
|---|---|---|
| Energy Storage | Ab Initio MD on thousands of GPU nodes. | Optimized lithium-ion diffusion rates |
| Catalysis | Reaction path modeling via nudged elastic band (NEB). | Discovery of low-platinum catalysts |
| Structural Alloys | Phase-field modeling of microstructure evolution. | Enhanced fatigue resistance in aerospace parts |