Science

A new framework translates questions about the maximum size of combinatorial structures into optimization problems, offering a powerful approach to extremal combinatorics.

A new approach combines the density of DNA with artificial intelligence to create a robust and error-resistant digital archiving system.

Researchers demonstrate a surprisingly simple fabrication process for creating vertical nanopillar devices from complex metal-molecule stacks, potentially unlocking scalable molecular electronics and spintronics.

New research reveals how strong electron correlation can disrupt the formation of robust integer quantum Hall states, impacting their potential for future electronic devices.

Researchers have developed a novel framework that enables privacy-preserving code generation using open-source AI models, shielding sensitive information from cloud observation.

Researchers demonstrate a practical attack that could isolate Ethereum nodes and disrupt network consensus after the Merge.

Researchers have developed a systematic method using BRST symmetry to calculate how spinning black holes interact with surrounding fields.

Researchers are exploring innovative methods to encode quantum information in strontium-87 atoms, potentially unlocking more powerful and robust quantum computers.

Researchers have established a broader range of problems where quantum computers demonstrably outperform their classical counterparts, even under strict resource constraints.

New research details a dynamic security framework that uses machine learning to analyze system behavior and prevent malicious encryption attempts.