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 […]

A smarter approach to designing metamaterials

Lightweight cellular materials are essential to the performance of many industrial products, but defects during fabrication can compromise their effectiveness. To address this, a UC Berkeley-led team has developed GraphMetaMat, an AI-powered framework that uses deep learning to efficiently design 3D truss metamaterials with exceptional mechanical and acoustic properties, while reducing their vulnerability to manufacturing […]

Self-driving lab to automate the discovery of novel alloys

Pure metals like aluminum and titanium often lack the ideal combination of properties needed for advanced applications, prompting researchers to develop custom alloys by blending various elements. To accelerate this traditionally slow and complex process, scientists at Lawrence Livermore National Laboratory, in collaboration with Cornell University, are creating the APEX platform—an automated system for 3D […]