AI Links Structure to Function Across 9 Million Polymers

Share with friends Discover how AI links molecular structure to performance for smart substitution. The fundamental challenge of material substitution has always been prediction: how can we know whether a…

AI Feedback Loops Lift Discovery Rate From 50% to 80%

Share with friendsLearn how MatIQ’s adaptive algorithms improve material predictions with new data. Machine learning models in materials science face a unique challenge: they must make accurate predictions despite limited…

Speed Biopolymer R&D: AI Screens 22,447 Polyester Candidates Fast

Share with friendsLearn how Simreka’s AI tools screen, validate, and optimize bio-based polymers. The global shift toward sustainable materials has positioned biopolymers as a cornerstone of the circular economy. Yet,…

Cut LCA Cycles to Hours: AI Lifecycle Thinking for Material Design

Share with friendsSee how lifecycle analysis and AI simulation guide long-term sustainable design. When organizations seek alternative materials—whether driven by regulatory compliance, supply chain resilience, or sustainability goals—the evaluation often…

Slash Waste: AI Discovers Recyclable Materials for Consumer Goods

Share with friendsLearn how AI identifies recyclable alternatives for everyday consumer products. The global waste crisis demands urgent action. With the world generating 220 million tonnes of plastic waste in…

Cut Packaging Plastic 18% and Carbon 25% with AI-Driven Materials

Share with friendsLearn how AI tools like MatIQ support low-carbon, recyclable packaging innovation. The packaging industry stands at a critical crossroads. As global awareness of plastic pollution and carbon emissions…

Cut Hazardous Additive Risk: AI Speeds Safer Substitutions

Share with friendsDiscover how Simreka identifies safe alternatives for hazardous material additives. Industrial materials rely on thousands of specialized additives to achieve critical performance characteristics—flame retardants that prevent fires, plasticizers…

Cut Low-VOC Coating R&D 50% With AI Materials Informatics

Share with friendsLearn how Simreka’s platforms help identify compliant, low-emission coating materials. The global coatings industry faces an existential challenge: volatile organic compounds (VOCs). These carbon-based chemicals, long valued for…

Predict Paint Durability With 89% AI Accuracy, No Lab Tests

Share with friendsExplore how Simreka’s Databank predicts durability and gloss in sustainable paints. The coatings industry stands at a pivotal crossroads where sustainability demands meet performance expectations. For decades, paint…

AI Filters 32 Million Inorganic Materials Across Global Network

Share with friendsDiscover how Simreka’s Databank connects global datasets to drive sustainable R&D. Materials science has entered an unprecedented era of data abundance. Yet paradoxically, researchers worldwide face a persistent…