What if we could predict the energy of any chemical reaction—not by memorizing heat tables or relying on complex simulations—but by understanding how patterns of order and disorder shift during the reaction itself?
That’s the core idea behind VERSF-Chem, a new model that views chemistry through the language of entropy—the measure of how energy spreads out or becomes more disordered. Instead of using traditional bond energies, VERSF-Chem breaks each reaction into simple building blocks, like spin alignment or electron reshuffling, and assigns each one an “entropy score.” Add these up, and remarkably, the model predicts reaction energies with near-perfect accuracy—even for complex reactions like ATP hydrolysis or glucose combustion.
The framework also explores how reactions might behave in extreme environments, like inside stars, and even reimagines fundamental constants like the gas constant or Avogadro’s number as emerging from hidden patterns in space itself.
It’s a new way of seeing chemistry—not just as a science of particles, but as a dance of structure, symmetry, and entropy. Whether you’re a scientist or a curious mind, VERSF-Chem invites you to look beneath the surface of molecules and glimpse the deeper order behind chemical change.