For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.
Texas A&M researchers developed an AI-guided alloy discovery workflow that speeds up the design of heat-resistant metals.
The Global Materials Informatics Market 2026-2036 report highlights transformative opportunities in industrial R&D driven by AI advancements. As major tech players like Microsoft and Google enter the ...
New materials designed by artificial intelligence promise to provide stronger hip replacements and improve how fractures heal.
Quantum computers have the potential to transform science, accelerating breakthroughs in drug development, cosmology, ...
ROURKELA: The National Institute of Technology-Rourkela (NIT-R) is set to introduce four new academic programmes from 2026-27 ...
Overview: Qiskit remains the world’s most widely used quantum SDK for research and enterprise projects.AI and quantum ...
Radical AI’s ‘self-driving’ lab designs and tests new alloys, speeding up a material R&D process that often takes human scientists 20 years or more. Inside a lab in midtown Manhattan, a robotic arm ...
New Delhi, May 13 (PTI) The NIT Rourkela has launched four new academic programmes for the 2026-27 session aimed at building a skilled workforce in emerging areas such as semiconductors, artificial ...
Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce ...
The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...
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