Screen before you synthesise.
AI evaluates candidate properties against your requirements, so laboratory work starts with a focused shortlist.
Discover the next generation of materials for energy storage.
Simer generates new materials, screens existing ones and plans how to make them. Our self-driving labs test the candidates and feed results back into the AI.
Better materials begin
with smarter discovery.
Materials R&D slows down when discovery, synthesis and testing happen in isolation. Simer connects them to shorten the path from a performance target to a tested material.
Run experiments faster.
Self-driving labs automate synthesis and testing, reducing manual work between each round of experiments.
Improve with every result.
Measured results feed back into the models, helping select what to test next and avoid repeating unsuccessful experiments.
Discover cathodes,
electrolytes and coatings.
Develop new materials or improve existing ones. Set the performance, stability and composition requirements for your energy storage system.
Find cathodes for your
performance targets.
Generate crystal structures and screen cathode compositions for predicted capacity, stability and elemental constraints.
Get a ranked shortlist of materials to synthesise and test.
Find the material.
Plan how to make it.
Simer’s AI proposes synthesis pathways for your target material, including starting ingredients, processing steps, temperature, time and atmosphere.
Compare routes against your laboratory constraints, then use experimental results to refine the process.
Discuss synthesis planningTARGET MATERIALSelected crystal candidate
InputPROPOSED PROCESSFor evaluation
1Prepare2Process3Characterise
TemperatureTimeAtmosphere
Experimental results refine the next route
Illustrative workflow. Proposed routes require laboratory validation.
AI models. Research software.
Self-driving labs.
Three connected layers take your project from material requirements to experimental results.
Generate and screen
materials with AI.
Our models propose new candidates and predict their properties before you make them.
- Generate structures and formulations
- Screen new and existing materials
- Recommend synthesis pathways
Simer Atlas.
Your materials R&D workspace.
Set your targets, compare AI-generated candidates, plan experiments and review results in one platform.
Materials for energy
and industry.
Apply Simer’s discovery platform to the performance, cost and sustainability challenges in your sector.
Grid storage
Develop materials for longer-lasting, cost-effective systems that store renewable energy.
Explore with SimerElectric vehicles
Improve materials for greater energy density, faster charging and longer battery life.
Explore with SimerGreen manufacturing
Find materials and synthesis routes that use fewer resources and reduce processing energy.
Explore with SimerAccelerate your next
materials R&D project.
Tell us your target properties, current bottleneck and timeline. Work with Simer to discover, synthesise and test the materials you need.
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