Machine learning speeds up simulations in material science

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires ...

Self-generating yarn made from graphene oxide strands

A team of researchers from Zhejiang University, Xi'an Jiaotong University and Monash University has developed a way to bind multiple strands of graphene oxide into a thick cable. In their paper published in the journal Science, ...

Cleaner water through corn

Corn is America's top agricultural crop, and also one of its most wasteful. About half the harvest—stalks, leaves, husks, and cobs—remains as waste after the kernels have been stripped from the cobs. These leftovers, ...

Challenging Einstein's picture of Brownian motion

Around a decade ago, the discovery of Fickian yet non-Gaussian Diffusion (FnGD) in soft and biological materials broke up the celebrated Einstein's picture of Brownian motion. To date, such an intriguing phenomenon is still ...

New method advances single-cell transcriptomic technologies

Single-cell transcriptomic methods allow scientists to study thousands of individual cells from living organisms, one-by-one, and sequence each cell's genetic material. Genes are activated differently in each cell type, giving ...

A safer way to deploy bacteria as environmental sensors

In recent years, scientists have developed many strains of engineered bacteria that can be used as sensors to detect environmental contaminants such as heavy metals. If deployed in the natural environment, these sensors could ...

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