Researcher uses network science to understand how materials work

Network science is how mathematicians and software designers construct complicated social networks like Facebook. But a group of Florida State University researchers has found that these equations can tell engineers a lot ...

Automating molecule design to speed up drug development

Designing new molecules for pharmaceuticals is primarily a manual, time-consuming process that's prone to error. But MIT researchers have now taken a step toward fully automating the design process, which could drastically ...

A scalable deep learning approach for massive graphs

A graph structure is extremely useful for predicting properties of its constituents. The most successful way of performing this prediction is to map each entity to a vector through the use of deep neural networks. One may ...

What sort of stream networks do scientific ideas flow along?

"Panta rhei, everything flows." If Heraclitus of Ephesus was correct, ideas, like rivers, should flow. Tracking the flow of ordinary ideas can be difficult. In the case of scientific ideas, it is much easier. The researchers ...

Faster performance evaluation of super-graphs

Himchan Park and Min-Soo Kim of DGIST have developed TrillionG, a computer model that generates synthetic data for simulating real-world applications that use giant graphs. TrillionG is faster than currently available synthetic ...

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