Conventional clustering techniques often focus on basic features like crystal structure and elemental composition, neglecting target properties such as band gaps and dielectric constants. A new study ...
Chinese researchers have published a new AI-driven system designed to interpret scramjet combustion simulations at speeds that could compress years of computational work into weeks. The tool, called ...
Server room with modern high-performance computing cluster at ISTA. The Institute of Science and Technology Austria (ISTA) expands its computing infrastructure for machine learning in academic ...
In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...