Materials intelligence platform
LATTICE connects scientific evidence, generative and predictive models, physics-based simulation, engineering constraints, and experimental feedback to accelerate materials development for terrestrial and space infrastructure.
Point of view
Search broadly. Score cheaply. Escalate selectively. Verify against physics. Learn from every experiment.
LATTICE coordinates models, solvers, databases and experiments inside one evidence-driven learning loop.
Core platform
The permanent operating core. LATTICE starts from an engineering objective, traverses evidence and design space, then selects candidates for progressively stronger simulation and experiment based on evidence and decision value.
Parse mission requirements, search literature and patents, retrieve known materials, extract evidence, ingest structures and contract the candidate universe before expensive computation.
Explore structures, formulations, interfaces and architectures with manufacturability, cost, environment and mission constraints inside the design loop.
Use independent critics, deterministic checks, fit-for-domain simulation, uncertainty analysis and experiment planning—then reconcile measurements and failures into the next cycle.
Why the icons matter: they form a reusable visual language for LATTICE. DISCOVER = evidence converging into an inspectable search space; DESIGN = architecture and controlled transformation; VERIFY = an evidence ladder with explicit checkpoints.
Closed-loop architecture
Computational and experimental effort rises with evidence depth and decision value.
LATTICE family v1
Materials libraries
Libraries are reusable domain packs of data, descriptors, constraints, evaluators, simulation hooks and validation templates.
Featured design space
Applications
Filter by mission need rather than project name. Each context maps back to concrete materials questions and evidence requirements.
Choose a project card to see the relevant material libraries, target properties, and the evidence gate LATTICE should apply.
Mission walkthroughs
Two application examples show how the same LATTICE loop adapts to different material families, mission objectives and validation pathways.
Embedded research workspace · v1.4
The public layer explains LATTICE; the product layer below is the same evidence-aware workspace surface. v1.4 embeds a self-contained app snapshot directly into this page so it renders even when the site is previewed as a standalone HTML file.
Evidence discipline
Every consequential value must preserve its evidence state, provenance, method or model, conditions, uncertainty and version. Human authority remains explicit for qualification and safety-critical decisions.
Dataset, publication, patent, experimental record, model and version stay attached to the candidate.
Error ranges, disagreement, open evidence questions and operating conditions remain visible in the decision record.
Inputs, model/tool versions, solver settings, data versions, outputs and validation state are traceable.
Failed candidates and experiments become evidence for the next search and design cycle.
Material selection, qualification, hazardous tests and engineering baselines remain reviewable human decisions.
Example interface data carries an EXAMPLE evidence label.
Research & source layer
The Research layer connects selected publications, run records and evidence context to each case, candidate and technical record.
Defines DISCOVER · DESIGN · VERIFY, the nine materials libraries, application layer, evidence-state rules and the public-site/workspace split.
Open source note →Provides the current OASIS candidate-family shortlist, cartridge/TSA logic, KPIs, test benches and explicit Earth-to-space use-case framing.
Open source note →Nanoconfined water, CNT field emission and similar frontier topics remain research directions until a source, model or experiment supports a narrower claim.
Open claim policy →eurus Intelligence Foundry
LATTICE is the materials intelligence specialist inside the eurus Intelligence Foundry—a human-governed system for assembling models, deterministic tools, simulation, experiments and evidence workflows around technical objectives.
Build with LATTICE
Use LATTICE for a bounded engineering problem, a research collaboration, or early workspace access.