介绍使用Python语言和科学计算库绘制结构化学中常见的氢原子s和p轨道波函数和电子云的图形的探索。在此过程中编写了多个脚本，通过数据处理和不同的生成算法实现波函数、电子云的可视化教学，旨在引导学生深入学习和理解波函数和电子云物理意义，提升学生自主思考和主动学习的能力。

碳捕集技术是实现“双碳”目标的重要途径。高温工业源CO₂的捕集更宜使用钙基吸收剂。本文立足“双碳”背景，将碳捕集前沿技术融入仪器分析实验课程，开发了蛋壳源CaO的制备、表征及其碳捕集性能的设计性综合实验。选择高钙废弃物鸡蛋壳为原料，采用醋酸处理得到醋酸钙，再经高温煅烧制备了具有较好碳捕集性能的CaO;利用EDTA配位滴定、扫描电子显微镜、X射线衍射、红外光谱、拉曼光谱和热重分析等多种分析手段，测试了CaO的纯度、形貌、结构及其对CO₂的捕集性能。本实验采用项目式教学方式，引导学生自行设计实验方案并进行实践和总结，不仅锻炼了学生综合运用专业知识解决实际问题的能力，而且培养了学生的科研素养和团队合作精神。

随着国家“双碳”战略的推进，作为“主角”的二氧化碳(CO₂)逐渐被人们所关注。然而，大众对CO₂循环及碳减排等缺乏系统、深入的理解。本实验开发了一套碳循环实验，包含CO₂的性质、产生、转化及捕集，通过光合作用和化学吸收等分别模拟自然界与工业固碳减排过程，实现碳减排、碳中和。通过指示剂变色、喷泉及沉淀等多种形式展示CO₂的变化过程。实验原料多取自生活，操作简单；互动方案丰富，趣味性高，生动科普碳循环的化学原理，普及“双碳”知识，让低碳节能理念深入人心。

To enhance the low-temperature activity and anti-sintering performance of Ni-based catalysts for CO methanation, mesoporous CeO₂ supports with a confined structure were synthesized via a hydrothermal method. The effects of three Ni loading methods—incipient wetness impregnation, co-precipitation, and bis(cyclopentadienyl)nickel sublimation—on catalytic performance were systematically compared. Characterization techniques, including X-ray diffraction (XRD), N₂ adsorption-desorption test, hydrogen temperature-programmed reduction (H₂-TPR), X-ray photoelectron spectroscopy (XPS), and transmission electron microscopy (TEM), revealed the critical influence of the loading method on Ni species dispersion, particle size, and metal-support interaction. The results indicated that all three mesoporous Ni/CeO₂ catalysts exhibited excellent anti-sintering properties due to the confinement effect of the support. However, their low-temperature activities differed significantly, primarily determined by the specific state of Ni. In the NC-B catalyst prepared by bis(cyclopentadienyl)nickel sublimation, the interaction between Ni species and the support was relatively weak. After reduction, this method yielded highly dispersed metallic Ni nanoparticles, increasing the number of low-temperature active sites. Consequently, the NC-B catalyst achieved 98% CO conversion rate and 100% CH₄ selectivity at 300 ℃, demonstrating the optimal low-temperature methanation performance.