A new machine learning approach offers important insights into catalysis, a fundamental process that makes it possible to reduce the emission of toxic exhaust gases or produce essential materials like ...

Designing materials that have the necessary properties to fulfill specific functions is a challenge faced by researchers working in areas from catalysis to solar cells. To speed up development ...

Researchers have developed a machine learning-based model to predict the characteristics of bonded systems. Using the density of states of the individual component reactants, they have achieved ...

Master Bond formulates high-quality, innovative adhesive systems for high-tech industries. Our goal is to help engineers meet specific requirements for their bonding, sealing and coating applications, ...

Despite plenty of EC&M resources on grounding and bonding, including theory and specific rules on the topic, the simple question we continually get from electrical professionals in the field is: “So ...

Researchers have developed a Bayesian learning model of chemisorption, or Bayeschem for short, aiming to use artificial intelligence to unlock the nature of chemical bonding at catalyst surfaces. A ...