Machine learning predicts when exotic alloys stretch like glass
Researchers have compiled superplasticity data for nanostructured and ultrafine-grained high-entropy alloys and shown that machine learning models can predict which ...
Researchers have compiled superplasticity data for nanostructured and ultrafine-grained high-entropy alloys and shown that machine learning models can predict which ...
Computer simulations show that scandium doping and tensile strain can tune two-dimensional C12N8 nanosheets for record CO2 capture, revealing a ...
Researchers have unveiled an Optimize-to-Optimize machine-learning workflow that uses rules distilled from 275 stable low-entropy chloride double perovskites to guide ...
A new review argues that integrating density functional theory with machine learning has matured into a powerful, experimentally validated engine ...
A new open-source Python package called QEGuard applies explicit eligibility checks before allowing parameters from prior Quantum ESPRESSO simulations to ...
A new computational study shows that the complex hydride K2NiH6 can store hydrogen densely and release it near room temperature ...
Innovations in material science rarely capture widespread attention, yet the recent collaboration between Alqem AI and the Max Planck Institute ...
In a groundbreaking study set to be published in 2026, researchers led by R. Charif, W. Khan, and R. Makhloufi ...
The study of crystal structures in organic molecules has long been a key focus in fields ranging from pharmaceuticals to ...
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© 2025 Scienmag - Science Magazine