Catalysis Research

Modeling catalyst surfaces at the atomic level. We provide the High-Performance Computing power necessary to resolve quantum electronic structures and predict reaction barriers with unprecedented precision.

Quantum-HPC DFT-Optimized Lustre GPFS ML-Potentials

Atomic Precision

Utilization of Density Functional Theory (DFT) and Neural Network Potentials to decode active sites on heterogeneous surfaces.

Kinetic Insights

Resolving reaction path energetics and Transition States using massively parallelized HPC workloads.

Scalable Storage

Handling multi-petabyte trajectory data on NVMe-accelerated file systems for seamless analysis and training.

Workflow Logic

Phase Action Outcome
Screening Genetic Algorithms for stable facet identification. Optimized Active Site Motifs
Calculation Nudged Elastic Band (NEB) method via GPU-Clusters. Detailed Energy Landscapes
Validation Integration of solvent effects and deactivation patterns. Industrial Catalyst Longevity