Stretchable conductors for wearable devices get new algorithm-driven boost

The next generation of wearable sensors may not be limited by electronics themselves, but by the materials carrying the current. Scientists need conductors that can bend, stretch, and interact with the body while still efficiently moving electrical signals and ions. Finding such materials, however, is difficult because researchers often have to synthesize and test candidate molecules one at a time. Now, a research team led by Iowa State University is using artificial intelligence, computational modeling, and data to help predict which molecular structures could produce better conducting materials before they are made in the laboratory. “We want to leverage data, AI, and computational tools to speed up materials design and discovery,” Wenjie Xia, lead researcher and an associate professor of aerospace engineering at Iowa State University, said. Teaching computers how molecules behave Rather than relying entirely on a long cycle of synthesis, measurement and redesign, the researchers want to build computational tools that can identify promising molecular arrangements in advance. The central problem is that a material’s performance does not depend on its chemical ingredients alone. The way its molecules are arranged, how the material is processed, and how those factors interact can all influence how well a finished device works. That makes the research less like searching a catalog for the right material and more like figuring out the rules for building one. “In this project, we’re concerned about molecular structures, processing, properties, and understanding how they ultimately impact material and device performance. Essentially, we want to learn how to put the molecules together,” Xia added. The researchers are focusing on organic mixed ionic-electronic conducting polymers. These materials are particularly interesting for bioelectronics because they can transport two things at once: electronic charge and ions. This combination matters when electronics need to communicate with biological systems. By changing the molecular structure and processing conditions, scientists may be able to tune how efficiently electrons and ions move through the material and, ultimately, improve the performance of the device built from it. From molecules to material performance The approach could help address one of the biggest obstacles in developing these polymers, which is that scientists still do not fully understand the complicated links between molecular design, manufacturing conditions, and the behavior of the final device. The researchers therefore plan to connect the different stages of materials development rather than study them in isolation. Xia and his team will now work on computational modeling and data-driven methods, while collaborators will contribute to material design and synthesis, processing, and device fabrication and testing. Together, the project aims to connect molecular structure to processing, morphology, and material properties, and ultimately to device performance. Instead of discovering these relationships only after making a material, the team wants computational models to uncover patterns that can guide the design process. This could help researchers narrow down the huge number of possible molecular structures and reduce some of the trial and error involved in materials discovery. Get the latest in engineering, tech, space & science - delivered daily to your inbox.Rupendra Brahambhatt is an experienced writer, researcher, journalist, and filmmaker. With a B.Sc (Hons.) in Science and PGJMC in Mass Communications, he has been actively working with some of the most innovative brands, news agencies, digital magazines, documentary filmmakers, and nonprofits from different parts of the globe. As an author, he works with a vision to bring forward the right information and encourage a constructive mindset among the masses.