Build and visualize materials models. Apply the full spectrum of computational methods. Whether you’re beginning your simulation journey or leading advanced research, MedeA software empowers R&D and maximizes every compute cycle.
Dr. Eyert will deliver a talk titled "Machine-Learned Potentials for Transition-Metal Oxides." Transition-metal oxides are a class of materials with diverse and valuable properties, including magnetism, superconductivity, and catalytic activity. Understanding and predicting their behavior is crucial for developing new technologies in energy, electronics, and photonics.
This webinar will share several case studies showcasing how the integrated machine-learning workflow in MedeA 3.12 can accelerate your research, streamline the adoption of MLPs, and move beyond the limitations of standard first-principles methods.
The shift from physical laboratories to in-silico research has transformed materials science, with the Vienna Ab initio Simulation Package (VASP) at its core. As the world’s most widely used density functional theory (DFT) code, VASP drives digital twins, machine learning, and GPU-accelerated simulations on leading supercomputers. MedeA uniquely integrates VASP with workflow automation, job management, and analysis, enabling productive, reproducible, and scalable materials di
Solve your toughest problems with contract research
Where in-house resources are unavailable, we can apply simulation to deliver on key materials research projects.
