Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Inverted perovskite solar cells offer strong potential for scalable, low-cost solar power, but a hidden interface inside the ...

Scientists at the University of Tokyo have captured something never seen before: a frame-by-frame view of how electron spins ...

A new AI-driven technique spots the telltale Raman signal of liquid-like ion motion—helping scientists rapidly identify materials for next-generation solid-state batteries. All-solid-state batteries ( ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

The Rust-based browser engine Servo 0.0.5 supports quantum-safe algorithms and improves form controls, performance, and stability.

After a multi-year competition, the U.S. National Institute of Standards and Technology (NIST) selected a suite of algorithms for standardization. For key exchange, the primary choice is the ...

Pune: India will have to trade off autonomy for efficiency if it relies entirely on borrowed algorithms for using artificial intelligence, said former.

The lack of high-resolution structures of the hantavirus glycoprotein tetramer and its lattice organization has limited mechanistic insights into viral assembly and entry. The authors leveraged a ...

A machine learning pipeline identifies low-frequency Raman signatures as reliable indicators of liquid-like ionic conduction ...

Chinese scientists achieved reversible red-green photoluminescence switching in Mn-based metal halides by replacing free Cl⁻ with Br⁻. The responsive property stems from weakened hydrogen ...

Tiny crystal “seeds” could solve a hidden flaw in perovskite solar cells—unlocking high efficiency at larger scales.