Rendering molecular interactions predictively
Precision molecular simulations advancing energy, drug discovery, and materials design.
Founding Team
Founding Father, Nobel Laureate
CSO
Principal Strategic Advisor
CEO
scientist
CFO, Sr. Scientist
Scientist
Director Simulations
Director Forcefields
Fundamental Problems Solved by Freecurve
LIQUID MIXTURES
Solvation free energy, partition coefficients, all properties
Correlation of 0.98 to experimental values
Given water’s critical role in biology, predicting its properties must closely mirror real-world behavior. (Nature Commun. 2022)
BATTERIES
Li+ solvation in electrolytes
Accurate within 2% of measurement
Precise electrolyte modeling predicts the behavior of lithium ions in real-world conditions, improving the performance, efficiency, and lifespan of lithium-ion batteries and energy storage systems (JACS 2023)
ENZYME MODELING Prediction of reaction intermediates’ energies
Accurate within 2% of measurement
Enabling researchers to understand reaction pathways, optimize processes, and design more efficient catalysts (JCTC 2024)
METALS
Copper ore enrichment POC, estimated
Accurate within 4% of measurement
Achieving such close alignment with real-world outcomes can potentially increase copper yields by 5-10% (internal white paper)
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