Flux Theory
The scientific foundation that supplies the physical relationships used by the platform.
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The Matter Computing Platform
Compute matter from first principles.
Flux Theory provides the scientific foundation. Matter Computing turns that foundation into a computational paradigm. FluxMateria delivers it through Chemistry, Materials, Pharmacology, and the next frontier of Genome Physics.
Four-layer architecture
Four layers with defined roles.
The scientific foundation, computational paradigm, engineering infrastructure, and domain interfaces form one connected architecture.
Matter Computing
The paradigm of calculating matter from an explicit physical foundation.
The Platform
The representations, compilers, execution, search, decision, and trust infrastructure.
FluxMateria
The domain interfaces through which scientists and engineers apply the platform.
One engine, many domains
Domain interfaces to one shared platform.
Each interface adds the domain closure required at its rung of the Matter Ladder while preserving a common foundation, trust model, and decision workflow.
Flux Chemistry
Molecular geometry, reactions, mechanisms, energetics, and chemical environments.
Explore Chemistry → Read Flux Chemistry →Flux Materials
Crystals, collective properties, semiconductors, electrochemistry, and engineered matter.
Explore Materials → Read Flux Materials →Flux Pharmacology
Mechanism-aware therapeutic discovery across exposure, binding, selectivity, and safety.
Explore Pharmacology → Read Flux Pharmacology →Flux Genome Physics
A planned extension into DNA, RNA, mutations, regulation, and therapeutic sequence design.
Explore the next frontier → Read Flux Genome Physics →Platform stack
From physical foundation to decision.
The platform compiles a defined physical task into calculations, constrained search, traceable outputs, and focused experimental decisions.
Domain InterfacesChemistry · Materials · Pharmacology · Genome Physics
Decision & DesignRanking · Optimization · Mechanisms · Experimental plans
Execution & SearchSolvers · Enumeration · AI agents · HPC · Search acceleration
Matter CompilerFoundation compilation · Domain closures · Physical constraints
Matter GraphComposition · Geometry · Topology · Environment · State
Foundation InterfaceVersioned scientific inputs with protected mechanism boundaries
AI + physics + experiment
Complementary roles, one decision loop.
AI proposes.Generate candidates, organize search, and accelerate execution.
Matter Computing evaluates.Apply physical constraints, calculate consequences, and explain trade-offs.
Experiments decide.Test the surviving candidates and advance the platform through evidence.
Matter Ladder
Each layer builds on the physics below it.
Each new level inherits lower-layer physics and adds the closure required for its own collective behavior.
AtomsMoleculesChemistryMaterialsProteinsDNA / RNARegulationBiological systems
Trust and validation
Evidence belongs inside the platform.
Versioning, provenance, validation, explicit gaps, and reproducible decision objects span every layer.
Founding principles
The manifesto defines Matter Computing and the principles that guide its development.
Read the Manifesto →Benchmark registry
Review current metrics, methodology, limitations, and downloadable evidence.
View benchmarks →Independent validation
Explore blind, frozen, retrospective, prospective, and experimental validation tracks.
Explore validation →One engine. Many domains. One physical foundation.
Matter Computing turns a shared physical foundation into reusable scientific infrastructure across domains.