A research team led by Pengfei Guan from Advanced Interdisciplinary Science Research (AiR) Center, Ningbo Institute of Materials Technology and Engineering (CAS), has published a topic review focusing on harnessing machine learning for metallic glasses (MGs). Through an integrated assessment of pre-Kepler-era studies, researchers have identified that the alignment gap, between simulation and experiment, currently hinders the further application of machine learning. Tailored for closing theory-experiment loop, a revolutionary AI4S (AI for Science) framework based on domain-knowledge embedding is prototyped. Actionable strategies and quantifiable metrics are also prepared to navigate the data pipelines and reshape the research paradigm from “accelerated trial-and-error” into “truly unbiased and intelligent discovery”.

Conductive gels are central to flexible electronics and wearable sensing technologies, yet their practical use is often constrained by weak mechanical strength and poor environmental tolerance. In a recent study published in Journal of Bioresources and Bioproducts, researchers report a wood-based conductive eutectogel fabricated by infiltrating metal-based deep eutectic solvents into a natural wood skeleton, followed by initiator-free ultraviolet polymerization. The resulting material exhibits a rare combination of high tensile strength, stable ionic conductivity, and broad operational temperature tolerance. By leveraging wood’s aligned micro–nano channels and metal–polymer coordination chemistry, the work demonstrates a sustainable pathway toward high-performance conductive gels capable of operating under extreme environmental conditions.

The conversion of biomass waste into functional carbon materials has become an important strategy for sustainable environmental technologies. In a recent study published in Journal of Bioresources and Bioproducts, researchers report the preparation of chitin-derived porous carbons using a fully chemical-free steam activation route. By employing only nitrogen and water vapor, the work achieves precise control over micropore and mesopore development, enabling efficient adsorption and recovery of n-butane, a representative greenhouse gas. The study systematically links pore size distribution with adsorption and desorption behavior, highlighting the potential of waste-derived carbons for environmentally friendly gas capture applications.

Researchers in China and Australia generated the first extraordinary aromatic tomato plants by simultaneously mutating both SlBADH1 and SlBADH2 genes in tomato varieties using CRISPR/Cas9.

A research team led by Dr. Yun-Jo Lee at the Korea Research Institute of Chemical Technology (KRICT), in collaboration with EN2CORE Technology Co., Ltd., has successfully demonstrated an integrated process that converts landfill gas generated from organic waste—such as food waste—into aviation fuel.

Researchers discovered hybrid combinations capable of overcoming hybrid lethality and producing numerous offspring using tobacco.

Engineering multifunctional extracellular vesicles that can selectively and effectively kill lung cancer cells with minimal off‑target toxicity, offers a promising platform for next‑generation, precision‑guided cancer therapeutics.

Take a dive into the streamlined workflow of DIVE (Descriptive Interpretation of Visual Expression)! DIVE combines multiple AI agents to extract images from about 4,000 scientific publications to propose new materials – all within minutes.