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A new family of materials for efficiently converting sunlight into clean energy
来源: Phys.org - latest science and technology news stories · 发布于
Researchers at Oregon State University have developed a new family of materials that use light to produce hydrogen from water, opening the door to new ways of converting the sun's rays into clean energy.
Researchers at Oregon State University have developed a new family of materials that use light to produce hydrogen from water, opening the door to new ways of converting the sun's rays into clean energy.
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Genetic audit of wheat: Researchers determine the actual variability of a gene responsible for bread quality
A team at the University of Córdoba (UCO) has reviewed and updated the catalog of versions of the wheat gene GLU-B1, which is responsible for a protein that makes up gluten. The team has also made a collection of wheat representing the gene's true variability available to the res
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Researchers find a fungus in Kentucky's forest grass that makes rare bug-fighting chemicals
Researchers at the University of Kentucky Martin-Gatton College of Agriculture, Food and Environment (CAFE) have discovered that a fungus living inside a common Kentucky woodland grass produces a rare combination of chemicals that likely helps protect the plant from hungry insect
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This new concrete is stronger and pulls CO2 from the air
Researchers have created a concrete mixture that is both stronger and capable of absorbing carbon dioxide. The best formula, combining zeolite with bamboo biochar, boosted compressive strength by 7.48% and tensile strength by 15% compared with conventional concrete. It also captu
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How an alleged rape sent an Indian university into turmoil and emptied hostels
Police are trying to verify whether a female student was raped at Lovely Professional University (LPU).
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Physics-grounded AI framework aims to make predictions about new materials more testable
Artificial intelligence is increasingly being used to discover new materials, but conventional data-driven approaches can struggle to explain their predictions, work reliably beyond their training data and remain consistent with physical laws. A new perspective proposes a framewo
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