Advances in machine learning and computational modeling are transforming materials design by allowing researchers to predict and discover new materials more efficiently than traditional methods. At the forefront of this innovation is Professor Toshiaki Taniike of the Japan Advanced Institute of Science and Technology (JAIST), who leads the Laboratory on Materials Informatics. His team integrates […]
Scientists give robots a sense of touch with fabric that mimics human skin
Robots often struggle with tasks requiring a delicate sense of touch, such as grasping objects without dropping or crushing them, despite advancements in sensors and cameras. A team at the University at Buffalo (UB) is developing a new electronic textile (E-textile) that mimics the way human nerves detect pressure and slippage during gripping. This cost-effective […]
UC Irvine scientist takes a lesson from ultrahard, wear-resistant mollusk teeth
Researchers from UC Irvine and Japan’s Okayama and Toho universities have conducted a groundbreaking study on chitons—algae-eating mollusks known for their exceptionally hard, wear-resistant, and magnetic teeth. The study reveals how iron-binding proteins called RTMP1 are precisely delivered through microscopic tubules called microvilli during tooth formation. This tightly controlled process results in a durable dental […]
Simple algorithm paired with standard imaging tool could predict failure in lithium metal batteries
Researchers at UC San Diego have developed a straightforward yet effective technique using scanning electron microscopy to evaluate lithium metal battery performance, potentially speeding up the creation of safer, longer-lasting, and more energy-dense batteries for electric vehicles and large-scale energy storage. Lithium metal batteries can store twice the energy of current lithium-ion batteries, which could […]
Anti-Piracy Statement
Anti-Piracy Statement Beware of Hotel and Registration Scams! As of late, ASM has been made aware of various types of scams related to our events. The three most common include: Credit card fraud through selling fake reservations: Scammers have been known to reach out to prospective attendees, often using ASM’s company and conference names […]





