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Reaction Mechanisms and Barriers Validation

This track tests FluxMateria on mechanism classification, activation barriers, reaction energetics, and catalyst-relevant reaction descriptors.

Best-fit validators

Physical organic chemists, catalysis researchers, reaction-informatics groups, and computational groups with trusted mechanism or barrier datasets.

Recommended first challenge

Blind mechanism or barrier set. The external group selects a focused family of reactions, defines classes or targets, and hides answers until predictions are frozen.

Properties in scope

  • Mechanism classification
  • Activation barrier
  • Reaction enthalpy
  • Rate ranking
  • Catalyst descriptor ranking
  • Surface-reaction barrier
  • Reaction-path plausibility

Recommended metrics

  • Mechanism accuracy
  • Top-2 accuracy
  • Barrier MAE and RMSE
  • Rank correlation
  • Confusion matrix
  • Error by mechanism family

Useful baselines

  • Expert classification
  • DFT or transition-state calculations
  • Literature barriers
  • Rule-based mechanism predictors
  • ML reaction classifiers where available

Minimum dataset fields

case_id
reactants
products
solvent_or_medium
temperature_if_relevant
substrate_class
nucleophile_base_catalyst_if_relevant
known_or_candidate_mechanism_hidden
barrier_hidden_if_applicable
notes

Output from FluxMateria

case_id
predicted_mechanism
mechanism_confidence
predicted_barrier_if_applicable
unit
module_version
status_label
notes
Does FluxMateria correctly rank, classify, or estimate barriers for a reaction family selected by an external chemist?

Run a mechanism validation

Start with one reaction family, frozen inputs, and a metric agreed before predictions are generated.

Request a Mechanism Packet