Research Keyword: mechanical testing

Artificial Neural Network Prediction of Mechanical Properties in Mycelium-Based Biocomposites

Scientists developed an artificial intelligence model that can predict how strong and durable mushroom-based composite materials will be. These composites are made by growing mushroom mycelium (fungal threads) through wood particles and other plant materials, creating an eco-friendly alternative to synthetic materials. The AI model learns from physical measurements and can accurately predict mechanical properties, potentially reducing the need for extensive testing and helping design better sustainable materials.

Read More »

The Effects of the Substrate Length and Cultivation Time on the Physical and Mechanical Properties of Mycelium-Based Cushioning Materials from Salix psammophila and Peanut Straw

Researchers developed eco-friendly cushioning materials by growing mushroom mycelium (fungal networks) on agricultural waste like willow and peanut straw. These materials match the performance of plastic foam used in packaging but are completely biodegradable and made from renewable resources. By adjusting how long the mushrooms grow and the size of the substrate pieces, scientists can control the final product’s strength, flexibility, and water resistance.

Read More »
Scroll to Top