This comprehensive review systematically links ML’s application in metal AM quality control, from multi-physics field prediction to real-time closed-loop control. It offers a novel roadmap for researchers, demonstrating how ML can decode complex process-structure-property relationships and enable adaptive, intelligent manufacturing.

Researchers from the University of Jaffna and Imperial College London have uncovered critical insights into optimizing Na₂FeSiO₄, a low-cost, abundant cathode material for sodium-ion batteries (SIBs). Published in Front. Energy, their computational study pinpoints ideal dopants and reveals favorable ion transport properties, bringing SIBs— a sustainable alternative to lithium-ion batteries—closer to large-scale energy storage applications.

Researchers Kohki Horie, Keiichiro Toda, Takuma Nakamura, and Takuro Ideguchi of the University of Tokyo have built a microscope that can detect a signal over an intensity range fourteen times wider than conventional microscopes. Moreover, the observations are made label-free, that is, without the use of additional dyes. This means the method is gentle on cells and adequate for long-term observations, holding potential for testing and quality control applications in the pharmaceutical and biotechnology industries. The findings are published in the journal Nature Communications.

Recently, a research team led by Professor Li-sheng Geng from Beihang University published a paper titled "Femtoscopy can tell whether Zc(3900) and Zcs3985 are resonances, virtual states, or bound states" in Science Bulletin. This study demonstrates for the first time that the femtoscopic technique can effectively distinguish whether the tetraquark candidates Zc(3900)/Zcs3985 near the D0D*-/D0Ds*- thresholds are resonances, virtual states, or bound states, which helps deepen the understanding of the non-perturbative nature of Quantum Chromodynamics.