Scientists develop ultra‑robust machine‑learning models capable of stable molecular simulations at extreme temperatures
Peer-Reviewed Publication
Updates every hour. Last Updated: 31-Mar-2026 16:16 ET (31-Mar-2026 20:16 GMT/UTC)
Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as 1000 Kelvin.
Bacterial colonies are far more than simple "piles of cells." They are dynamic, multicellular-like systems characterized by intricate spatial organization, functional differentiation, and coordinated collective behaviors. While traditional microbiology has often treated bacteria as isolated single cells, modern perspectives recognize that a colony functions as a highly organized and spatially heterogeneous ecosystem.
Focusing on the engineering challenge of achieving stable, high-strength welding between rough metals surfaces and transparent materials, this work provides an in-depth elucidation of the femtosecond laser welding mechanism for dissimilar materials under non-optical-contact conditions. Through high-speed in situ imaging techniques, it reveals the dynamic coupling between linear absorption in the metal and nonlinear absorption in sapphire during ultrafast laser irradiation. The study further identifies an active interfacial gap filling effect of molten metal, which proactively regulates the free space region at the interface. It clarifies that the welding strength is primarily limited by cracks induced by thermal stress in sapphire, and demonstrates welding performance exceeding 10 MPa between rough Invar alloy and sapphire. These findings offer theoretical guidance and technical support for high-strength, highly stable welding of dissimilar materials.
Researchers have introduced a significant advancement in the development of potassium-ion batteries (PIBs), addressing critical limitations in their practical application. PIBs hold considerable promise as a sustainable alternative to lithium-ion batteries, primarily due to the abundant and cost-effective nature of potassium. However, their widespread adoption has been hindered by challenges related to slow storage kinetics and unsatisfactory cycle life. This new investigation demonstrates that a targeted liquid phase oxidation strategy can substantially improve the performance of soft carbon anodes, opening new pathways for next-generation energy storage solutions.
Researchers have developed an effective, low-cost adsorbent for removing industrial dye from wastewater by using an unlikely source: the notorious invasive plant, Lantana camara. A team from Nalanda University, Nagaland University, and China Agricultural University, among other institutions, successfully converted both the leaves and stems of this widespread weed into biochar, a charcoal-like substance with powerful adsorption properties. This innovative approach tackles two significant environmental challenges simultaneously—the management of an aggressive invasive species and the purification of water contaminated with toxic dyes like methylene blue.