A study elucidating the seismogenic structures of the Ms 6.2 Jishishan earthquake that struck China on December 18, 2023, has recently been published in Earth and Planetary Physics. The research employed relocation, focal mechanism solutions, and rupture process inversion to characterize the causative faults and rupture dynamics of this seismic event.

Researchers developed a deep learning–based nowcasting model, which can effectively predict the location and frequency trends of organized thunderstorms, providing robust support for predicting lightning risks to power grids.

Curiosity about a mistake that left tiny dots on a germanium wafer with evaporated metal films led to the discovery of beautiful spiral patterns etched on the surface of the semiconductor by a chemical reaction. Further experiments showed that the patterns arise from chemical reactions that are coupled to mechanical forces through the deformation of a catalyzing agent. The new system is the first major advance in experimental methods to study chemical pattern formation since the 1950s. Studying these complex systems will help scientists understand other natural processes, from crack formation in materials to how stress influences biological growth. 

Stanford researchers have combined machine learning with high-resolution satellite and airplane observations to understand the physics behind large-scale ice movements in Antarctica. The results show that current models are missing key complexity needed to accurately predict the dynamics and mass loss of the Antarctic ice sheet now and in the future.

Many people will soon load up Easter baskets with chocolate candy for children and adults to enjoy. On its own, dark chocolate has health benefits, such as antioxidants that neutralize damaging free radicals. And a report in ACS Food Science & Technology suggests that packing the sweet treat with pre- and probiotics could make it more healthful. Flavoring agents, however, can affect many properties, including moisture level and protein content of the chocolate product.

Scientists at The University of Texas at El Paso are developing a less invasive portable device that would use blood samples to detect colorectal cancers. Their device is described in a new study published in the journal ACS Measurement Science Au.