Key opportunities in AI-driven materials discovery include increasing demand for rapid advanced materials development, growth ...
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
As artificial intelligence increasingly automates basic programming, India's tech sector faces a critical talent transformation, shifting recruitment priorities away from pure coding toward core ...
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in fusion reactors, but the ultra-high heat can damage its microscopic ...
Engineers are increasingly combining generative design algorithms with 4D printing to create mechanical metamaterials whose behavior is defined by geometry rather than chemistry. Instead of selecting ...
Over the last four years, I’ve partnered with preservice teachers and local schools to transform nearby trails, campus green spaces, and community sites into standards-aligned STEM learning ...