Physicists have achieved a breakthrough in data processing by employing an 'inverse-design' approach. This method allows algorithms to configure a system based on desired functions, bypassing manual ...

At a potluck, you ate the best chocolate chip cookie—golden-brown, thick and chewy. Unfortunately, you don't know who made the cookie to get the recipe from, so you decide to recreate it. Using ...

The breakthrough could pave the way for developing technologies that can identify materials according to their desired properties for specific applications A key challenge in materials science and ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...

Pumps are one of the largest users of energy in industrial and infrastructure systems worldwide, and as a result energy costs are central to pump operations. Energy dominates the total cost of pump ...

GE researchers developing an artificial intelligence (AI) and machine learning (ML)- enabled inverse design framework that allows performance metrics to create more optimized designs for industrial ...

Researchers created an inverse design codebase called SPINS that can help researchers explore different design methodologies to find fabricable optical and nanophotonic structures. Stanford University ...