A new study outlines a comprehensive framework leveraging AI and big data to combat illegal plant trade, addressing global biodiversity threats with technological innovation.

Numerical simulation is essential for predicting how complex mechanical systems move, from robots and vehicles to deployable aerospace structures.

Microplastics are now found across oceans, soils, food chains, and even human biological samples. Yet scientists still face a major challenge: these tiny particles are difficult to detect, track, and link to health risks using traditional laboratory methods alone. A new perspective article argues that artificial intelligence could help change that.

A global survey traces six centuries of evolution, revealing how university botanic gardens blend historical roots with modern missions in conservation, education, and public well-being.

Silicon carbide fiber-reinforced silicon carbide (SiC_f/SiC) composites are emerging as promising materials for the hottest parts of aircraft engines and hypersonic vehicles, where metals face increasing performance limits.

As the world searches for practical ways to slow climate change, soil is gaining attention as one of Earth’s most important carbon reservoirs. A review and meta-analysis published in Biochar suggests that biochar, a carbon-rich material made by heating biomass under limited oxygen, could significantly improve the ability of soils to store carbon.

Biochar is often promoted as a promising tool for climate-smart agriculture, thanks to its ability to store carbon in soils and, in many cases, reduce emissions of nitrous oxide, a powerful greenhouse gas. But a study published in Biochar shows that the climate benefit of biochar is not guaranteed. The way biochar is produced, and the chemical groups present on its surface, can determine whether it helps reduce nitrous oxide or unexpectedly increases it.

The study unveiled a novel regulation strategy that exhibits exceptional performance in gas sensing applications. This advanced material demonstrates outstanding selectivity, rapid response, and ultrahigh sensitivity, particularly in detecting ammonia (NH₃) molecules. The research, led by a team from East China University of Science and Technology, provides new insights into the gas sensing mechanisms of MXenes and introduces a synergistic strategy to optimize their performance.