Extensive industrial catalytic applications have shown that the confined nano-channels of zeolites can precisely regulate molecular diffusion and metal cluster migration, effectively enhancing ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

A neural network is a computational model consisting ... In materials, atoms arrange themselves into specific crystal structures that use the lowest amount of energy. When it’s cold, water ...

To understand how they work, imagine an artificial neural network trained to spot birds in images. Such a model ... the Nobel laureate who co-discovered the structure of DNA, published a takedown ...

However, there is a gap in research for various tasks (i.e., image restoration ... pixel information widely. In the structure prediction stage, we introduce a novel training algorithm, SEMixup, and a ...

Whether you want text, computer code, or images, there are uncountable ... an AI model to generate something else: crystal structures. Its new Graph Networks for Materials Exploration (GNoME ...

(Image Credit: Google Deepmind) The key to GNoME’s capabilities is its use of sophisticated graph neural networks that can accurately predict the stability of proposed crystal structures in a ...

Summary: Researchers developed a tool that simplifies the identification of errors in neural networks used for image recognition ... Funding: “Topological Structure of Complex Predictions” was ...

“Here, we develop a framework for the prediction and screening of native defects and functional impurities in a chemical space of Group IV, III-V, and II-VI zinc blende (ZB) semiconductors, powered by ...

As for the downsides, these systems require “time series” data, unlike other neural networks. That is to say that they don’t currently extract the information they need from static images ...