New bean varieties resist aphids and nematodes

New bean varieties resist aphids and nematodes

Climate resilient, nutritious long beans are unfortunately susceptible to aphids and nematodes. By creating four new pest-resistant varieties of the beans, scientists aim to reduce farmers’ reliance on pesticides. Climate resilient, nutritious long beans are unfortunately susceptible to aphids and nematodes. By creating four new pest-resistant varieties of the beans, scientists aim to reduce farmers’ reliance…

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Vertically stacked skin-like active-matrix display with ultrahigh aperture ratio

Vertically stacked skin-like active-matrix display with ultrahigh aperture ratio

Skin-like displays are critical components of information output in next-generation portable and wearable electronics. Currently, all such displays are fabricated on glass or thick plastic substrates, limiting the inherent mechanical flexibility of organic materials and preventing intimate skin contact. Skin-like displays are critical components of information output in next-generation portable and wearable electronics. Currently, all such…

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Planning the urban climate of the future

Planning the urban climate of the future

What a tree needs to grow and how it affects its surroundings vary from species to species. This makes it increasingly important for cities to adapt the urban tree cover to local conditions. What a tree needs to grow and how it affects its surroundings vary from species to species. This makes it increasingly important for…

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Novel machine learning-based cluster analysis method that leverages target material property

Novel machine learning-based cluster analysis method that leverages target material property

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 discovery, as it allows researchers to identify promising classes of materials and explore new ones with similar functions and properties. In materials science, substances are often classified based on…

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Atoms in advanced alloys find preferred neighbors when solidifying

Atoms in advanced alloys find preferred neighbors when solidifying

A discovery that uncovered the surprising way atoms arrange themselves and find their preferred neighbors in multi-principal element alloys (MPEA) could enable engineers to “tune” these unique and useful materials for enhanced performance in specific applications ranging from advanced power plants to aerospace technologies, according to the researchers who made the finding. A discovery that uncovered…

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Scientists develop physical node reservoir computing based on light-emitting synapses

Scientists develop physical node reservoir computing based on light-emitting synapses

With the development of artificial intelligence technology, various artificial hardware neural networks such as recursive neural networks, convolutional neural networks, and spiking neural networks have been proposed to meet the efficient processing and recognition of massive data. With the development of artificial intelligence technology, various artificial hardware neural networks such as recursive neural networks, convolutional neural…

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