Porous Beam

Porous beams are a subject of intense research interest due to their unique mechanical properties and diverse applications, ranging from microfluidic cooling systems to advanced biosensors. Current research focuses on developing accurate and efficient predictive models for their behavior, employing techniques like physics-informed neural networks, deep energy methods, and convolutional neural networks to link microscopic porous structure to macroscopic mechanical properties. These advancements are crucial for optimizing designs in various fields, including lightweight structural materials and high-throughput materials discovery, by enabling faster and more reliable simulations and analyses.