2月25日，中国科学院等研究团队在《自然·能源》（Nature Energy）上发表论文Regulating grain growth via Li2SnS3 interphase in kesterite solar cells with certified efficiencies exceeding 15%，报告了一种新型铜锌锡硫硒太阳能电池，可实现超过15%的光电转换效率。研究团队创新性提出Li₂SnS₃界面相调控策略，通过改性阳离子迁移路径，实现Zn²⁺与Sn⁴⁺的迁移平衡。该Li₂SnS₃界面相可选择性包覆Cu₂Sn (S,Se)₃中间相晶粒，成为离子迁移的速率控制层，将界面相中Zn²⁺/Sn⁴⁺的迁移势垒差从Cu₂Sn (S,Se)₃中的0.41eV降至0.21eV，有效促进了更大尺寸、更均匀的高结晶度晶粒的形成。由此，器件的光电转换效率从13.86%大幅提升至15.45%；同时，在1.10 eV带隙下，器件的开路电压突破至602 mV。
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This is also where the ethical concerns hit hardest, though. Facial recognition and microexpression analysis have drawn serious scrutiny for potential bias against certain demographics. Researchers have raised legitimate questions about whether AI can reliably read facial cues across different cultural backgrounds, skin tones, and physical conditions. HireVue actually stopped analyzing facial expressions back in 2021 after sustained pushback, but the broader landscape of video analysis tools still varies wildly in how they handle these signals. If you're looking at a video analysis platform, it's worth looking at what measurements have been validated across diverse populations.