From Fields to Decisions
We implement a mathematically rigorous partition of electron density into differential gradient bundles (DGBs) and bond bundles. Each substructure has well-defined geometric and energetic properties.
By tracking how these properties covary, we connect local electronic changes to chemical phenomena and material properties.
What You Can Extract
Mechanical signals (e.g., cohesion, ductility indicators)
Reactivity/catalysis signals (e.g., fieldaligned pathways, bond activation)
Interface/transport signals (e.g., descriptors for electron transfer)
Where It Helps
Alloys: grain boundary cohesion, composition/process tuning.
Enzymes & molecular catalysis: electrostatic preorganization; field steering.
Electrochemistry: surfaces and interfaces, charge-transfer kinetics.
Energetic materials: sensitivity and performance predictors.
Outputs Designers Can Use
Ranked levers (composition, processing, residue swaps, field strengths).
Annotated visualizations linking density features to properties.
Exportable, lightweight reports for design reviews
Status
Researchgrade capability exists today in FPMDS open tools; FPI is productizing a guided, engineerfriendly experience.