Ferromagnetism has long been studied in a wide range of periodic crystals and amorphous materials. In quasicrystals (QCs), ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...
This review explains how soft materials, scalable manufacturing, energy-efficient hardware, and AI are converging to create ...
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.
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
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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.