Global Intelligence Database
Scientists are using a powerful mathematical framework called topological data analysis (TDA) to reveal the fundamental shapes hidden within complex molecular data. By teaching artificial intelligence to see this underlying structure, researchers are accelerating breakthroughs in drug discovery, protein engineering, and materials science.
By Wee, Jiang
Getting drugs through the body's protective mucus is a major hurdle for medicine. Scientists have now shown they can finely tune nanoparticle surfaces with specific chemical groups, creating a flexible system that allows these tiny vehicles to either stick to or slide past the barrier, paving the way for more effective drug delivery.
By Cureño Hernandez, Lee, Cartwright, Kim, Herrera-Alonso
A pioneering multimodal microscopy platform has finally pierced the veil of solid-liquid interfaces, capturing transient chemical shifts previously lost to science. By combining cryogenic freezing with real-time tracking, this technique offers a 3D map of how nanomaterials react in solution, promising leaps in environmental remediation.
By Liu, Xing, Song, Ling
Researchers have developed a biphasic electrolyte system that prevents the chemical self-discharge typically plaguing zinc-bromine batteries. By utilising divalent cations and zwitterions, the design confines reactive ions to separate layers, significantly extending battery life and lowering costs.
By Liu, Zhang, Jing, Zhu, Tang, Ye, Zhi, Pei, Zhu, Yan, Dou
Synthesising molecules often involves a difficult choice between left- and right-handed structures, a problem that has historically baffled standard algorithms. A new model, ChemAHNet, overcomes these limitations by learning the underlying chemical mechanisms to predict complex 3D molecular shapes with unprecedented accuracy.
By Cheng, Shao, Lv, Xiao, Sun, Yang, Xu, Lv, Wang, Zhao, Li, Jin, Tan, Xing, Zhang