Vinland Labs / Physical invention

AI systems that invent new physical technologies.

Vinland Labs develops AI systems that discover novel physical technologies through simulation and open-ended search. We focus on new hardware designs and licensable inventions, starting with spacecraft cooling hardware.

Loading generated geometry
Vortex-core heat exchanger Voxel-native / 3 mesh bodies / drag to inspect

Current research

01 Spacecraft cooling
02 Physics simulation
03 Open-ended search

The problem

The design space is too large for humans to search.

Novel physical technologies require exploring beyond familiar designs. Conventional optimization starts with a predefined family of shapes. We develop AI systems to search across new structures, using physics simulation to evaluate what they discover.

Conventional search Predefined design families
Unsearched structures Unexplored hardware designs
Explored Leif search

Our research connects open-ended search with physics simulation to discover new hardware.

01 / Generate

Explore new structures

Our systems generate geometry programs that explore new topologies, channel layouts, lattices, and manifolds.

02 / Evaluate

Evaluate through simulation

Physics simulation evaluates candidate designs against performance targets and physical constraints, guiding the next round of search.

03 / Learn

Build on discoveries

Useful design patterns become building blocks for further exploration, expanding the structures our systems can generate.

Our approach

An inventor that learns through search.

Leif is the invention system we are developing. Our research combines program synthesis, library learning, and deep learning to generate new hardware designs, evaluate them in simulation, and use discoveries to guide further search.

01

Program synthesis

Generate hardware designs

Geometry programs describe how a design is constructed, allowing the search to explore different structures and arrangements of physical components.

02

Library learning

Learn reusable structures

Library learning captures useful geometry patterns as reusable concepts that can be combined into new designs.

03

Deep learning

Choose where to search

Learned models guide the search toward promising candidates for further simulation and eventual physical validation.

The research goal

Discoveries that lead to new inventions.

We are building a system that carries discoveries forward, recombining useful concepts to explore new physical technologies. Our intended output is novel hardware and licensable inventions.

Our first focus

Inventing spacecraft cooling hardware.

We are starting with spacecraft cooling hardware, exploring new designs for heat exchangers, cold plates, manifolds, and internal flow channels.

Our search evaluates how new geometries manage heat within mass, volume, flow, and manufacturing constraints. We aim to turn promising discoveries into validated hardware designs and inventions that industry partners can license.

Maximum temperature Heat transfer Pressure drop Mass Packaging Manufacturability

Research & licensing

Bring new inventions into the world.

We welcome conversations with partners interested in spacecraft cooling, physical validation, and licensing new hardware inventions.

Work with Vinland Labs