Skip to main content

Materials and Energy

Metamaterials

Generate novel metamaterial unit cell geometries with target electromagnetic, acoustic, or mechanical properties through constraint-based topology construction.

ReadyMatterSpace Lattice
Materials and Energy visualization

The Challenge

Why Metamaterials needs a new approach to generation

The metamaterial design space is enormous — unit cell geometry, topology, and constituent material choices create effectively infinite combinations, yet the relationship between microstructure and emergent properties like negative refractive index, acoustic bandgaps, and auxetic behavior is highly nonlinear. Current approaches are limited to parameterized families of known unit cell designs, leaving vast regions of topology space unexplored where exotic property combinations may be achievable.

Topology optimization produces high-performing designs but is computationally expensive and typically optimizes for single physics objectives. ML surrogates interpolate within known metamaterial families but cannot extrapolate to genuinely novel topologies, and inverse design methods struggle with multi-physics co-optimization where electromagnetic, acoustic, and mechanical responses must be controlled simultaneously.

The MatterSpace Approach

How MatterSpace generates for metamaterials

MatterSpace Lattice generates metamaterial unit cells through constraint-based topology construction — specify target effective properties (negative refractive index at a given frequency, acoustic bandgap range, auxetic Poisson's ratio) and Lattice constructs topologies satisfying all constraints simultaneously. Manufacturability and structural integrity are enforced as hard constraints during generation, ensuring every output is fabrication-ready.

The Metamaterials domain pack encodes effective medium theory, photonic and phononic band structure physics, and manufacturing constraints for major fabrication methods. Users specify target properties and operating conditions, and Lattice generates unit cell topologies with validated effective medium properties, predicted band structures, and manufacturing specifications.

Constraint-Based Generation

Specify what the output must satisfy. MatterSpace constructs candidates that meet all constraints simultaneously.

Valid by Construction

Every output satisfies physical laws, stability criteria, and domain constraints — no post-hoc filtering needed.

MatterSpace Lattice

Powered by a domain-specific generation engine with physics-aware priors and adaptive dynamics control.

Generation Output

What MatterSpace generates

  • Novel unit cell topologies with effective property predictions
  • Multi-physics metamaterial designs with co-optimized responses
  • Fabrication-ready geometries with manufacturing specifications
  • Bandgap-engineered structures for target frequency ranges
  • Auxetic and negative-index architectures with validated effective parameters

Key Differentiators

Why MatterSpace is different

MatterSpace Lattice generates manufacturably valid metamaterial topologies by construction, eliminating the fabrication-feasibility gap that plagues computational topology optimization. The system enables multi-physics co-optimization — electromagnetic and acoustic properties simultaneously — and explores beyond known metamaterial families to discover novel unit cell architectures with unprecedented property combinations.

Same sector

Related industries

Battery Cathodes and Energy Storage

Generate novel cathode compositions and crystal structures optimized for energy density, cycle life, and thermal stability.

View

Catalysis and Chemical Processing

Generate novel catalyst compositions, support configurations, and active-site geometries optimized for selectivity, activity, and durability.

View

Superconductors and Quantum Materials

Generate novel superconducting material candidates with predicted critical temperatures, targeting accessible operating conditions.

View

Photovoltaics and Solar Energy

Generate novel photovoltaic absorber compositions and heterostructure designs optimized for efficiency, stability, and manufacturability.

View

Thermoelectrics and Waste Heat Recovery

Generate novel thermoelectric material compositions with optimized figures of merit for efficient waste heat conversion.

View

High-Entropy Alloys

Generate novel high-entropy alloy compositions with targeted mechanical, thermal, and corrosion properties across multi-principal-element design spaces.

View

Magnets and Magnetic Materials

Generate novel permanent magnet compositions and crystal structures targeting high energy products without critical rare-earth dependencies.

View

Coatings and Surface Engineering

Generate novel coating compositions and multilayer architectures optimized for hardness, corrosion resistance, thermal barrier performance, and adhesion.

View

Solid-State Electrolytes

Generate novel solid-state electrolyte compositions with high ionic conductivity, wide electrochemical stability windows, and mechanical compatibility.

View

Metal-Organic Frameworks

Generate novel MOF structures with target porosity, gas selectivity, and catalytic activity through systematic exploration of metal node, organic linker, and topology combinations.

View

Polymer Design

Generate novel polymer architectures with target mechanical, thermal, and barrier properties through systematic exploration of monomer chemistry, chain topology, and processing parameters.

View

Get started

Start generating with MatterSpace

Whether you are exploring metamaterials for the first time or scaling an existing research programme, MatterSpace generates novel candidates that satisfy your constraints by construction.

Contact us