Simulations at the Atomic Scale
MIT, Stanford, and the primary materials research institutes are conducting ab initio simulations to model the properties of materials at the atomic level. These quantum-mechanical calculations are extremely computationally intensive and generate vast amounts of data on atomic and molecular dynamics.
The problem is that traditional formats do not preserve the full physical context of these simulations. Researchers often lose insight into why a material behaves in a certain way and what mechanisms are responsible for the observed properties.
VectorDiff as Material History
VectorDiff allows the creation of „material biographies” – semantic histories that describe the evolution of properties from the atomic to macroscopic level. Each atom, each chemical bond, each crystalline phase has its transformation history.
Research example: Simulating a new material for a battery preserves the whole story – how atoms arrange themselves into a crystal structure, how lithium ions move through the material, what the degradation mechanisms are, and how they can be minimized.
Accelerating Material Discovery
Understanding mechanisms: Researchers can „rewind” through the material formation process, identifying key mechanisms responsible for desired properties.
Material Design: Instead of haphazard exploration, researchers can consciously design materials with specific properties by understanding the relationships between atomic structure and macroscopic characteristics.
Global Collaboration: Research teams can share the complete stories of their simulations, enabling others to build on their discoveries without having to repeat expensive calculations.
