👉 Strain computing is an innovative approach to processing large volumes of data that leverages the physical properties of materials and their interactions with electrical, magnetic, or mechanical stimuli to perform computations. Unlike traditional computing, which relies on electronic transistors and binary logic, strain computing uses strain-induced changes in material properties to encode and process information. This method can significantly reduce energy consumption and increase computational speed by exploiting the mechanical strain applied to materials like graphene or silicon, which alters their electronic properties. As a result, strain computing offers a promising path towards more efficient and powerful computing systems, particularly for tasks involving pattern recognition, signal processing, and machine learning.
