SOLUTIONS

Predict reaction outcomes before the flask.

Mechanism discovery, activation barriers, and spectra prediction — from first-principles physics at 3,600,000× the speed of DFT. 100% mechanism accuracy across 168,000 parameter combinations. Every result traceable. No ML. No fitted models.

0
ML parameters
100%
Mechanism accuracy
3.6M×
faster than DFT
100%
traceable
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Capabilities

From hypothesis to synthesis plan.

⚗️

Mechanism discovery

Predict the dominant mechanism (SN1/SN2/E1/E2) for a given substrate, nucleophile, leaving group, and solvent. 100% accuracy on validated benchmark.

Activation barriers

Quantitative barrier estimates at 5.72 kJ/mol MAE — DFT-competitive accuracy, delivered instantly.

📈

Spectra prediction

IR, UV-Vis, and NMR predictions with peak assignment. Validate expected products before synthesis.

💧

Solvation effects

Solution-phase accuracy. Move beyond gas-phase approximations to model real reaction conditions.

🔍

Pathway ranking

Compare competing pathways by thermodynamic and kinetic favorability to predict selectivity.

📦

Full provenance

Every prediction includes mechanistic audit trail. Results are deterministic and independently verifiable.

Not ML. Not a lookup table. A physics engine.

FluxMateria predicts reaction outcomes from first-principles physics. Every mechanism classification and barrier estimate is a deterministic calculation that you can trace, audit, and reproduce.

0

Trained parameters

No neural networks. No fitted rate rules. No reaction database lookups. Mechanism predictions derive from molecular geometry and fundamental physics — nothing else. Novel reactions work on day one.

100%

Mechanistically traceable

Every mechanism classification, every barrier estimate has full provenance. Trace any prediction back through the physics to understand exactly why that pathway was favored. Same input, same output, every time.

3.6M×

Faster than DFT

DFT-competitive accuracy at interactive speed. Explore reaction parameter spaces — substrates, solvents, leaving groups — that would take months of DFT compute.

Empirical rules / databases Fast, but break at the boundaries of known chemistry. Limited to catalogued reactions.
DFT / QM Accurate and traceable, but too slow for exploring reaction parameter spaces.
FluxMateria Accurate, traceable, and fast. No training data. No compute queues.

Platform capabilities

Modular tools for reaction prediction and chemical analysis.

⚗️

MechanismOS (Steer)

Production

Interactive control-surface steering for SN1/SN2/E1/E2. Official barrier validation: GOLD 154/154 direct Ea passes and SILVER 1255/1323 Arrhenius-derived passes.

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📈

Spectroscopy

Production

UV-Vis (6.2% error, 50 molecules), IR (<1% error, 32 NIST molecules), NMR (0.3-0.5 ppm MAE), Raman. ~25ms per prediction.

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💧

Solvation

Production

0.71 logS MAE on 1,128 ESOL compounds. 30+ solvents (protic, aprotic polar, nonpolar). ~10ms per molecule.

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🧬

Synthesis Planning

Production

29 reaction types at 3.1% MAE. 200 specific reactions at 0.119% MAE. Retrosynthetic analysis, disconnection patterns, reagent recommendations. <50ms per plan.

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Electron Transfer

Production

Marcus theory + FLUX tunneling corrections. 26/26 tests passing. Through-bond decay constant matches literature ranges. 2–3× tunneling enhancement. ~150ms per pair.

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☀️

Photochemistry / UV-Vis

Production

Electronic transition predictions, absorption maxima, and extinction coefficients. 6.2% mean error across 50 validated molecules.

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Validated accuracy

Systematic evaluation across substrates, solvents, and reaction conditions.

100%
Mechanism classification
5.72
kJ/mol barrier MAE
168K
Parameter combinations validated
3.6M×
Faster than DFT
MechanismOS benchmarks → Mechanism benchmarks → Synthesis benchmarks → Electron transfer benchmarks → Spectroscopy benchmarks → Solvation benchmarks →

Workflow: Reaction planning

Predict pathways and selectivity before committing to synthesis.

1

Define

Specify substrate, nucleophile/base, leaving group, and solvent

2

Classify

Predict dominant mechanism (SN1/SN2/E1/E2)

3

Quantify

Compute activation barriers and rate constants

4

Predict

Generate expected spectra for products

5

Compare

Evaluate competing pathways and selectivity

6

Plan

Export analysis with full mechanistic provenance

See it on your reactions

Bring your reaction systems. We'll show you what FluxMateria predicts.

Interactive demo

No account needed. Enter reaction parameters and see mechanism predictions with barrier estimates and full provenance.

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Pilot access

Test FluxMateria on your own reaction systems and compare against your experimental data.

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