【无机化学学报】doi: 10.11862/CJIC.20240298
Binary composites (ZIF-67/rGO) were synthesized by one-step precipitation method using cobalt nitrate hexahydrate as metal source, 2-methylimidazole as organic ligand, and reduced graphene oxide (rGO) as carbon carrier. Then Ru3+ was introduced for ion exchange, and the porous Ru-doped Co3O4/rGO (Ru-Co3O4/rGO) composite electrocatalyst was prepared by annealing. The phase structure, morphology, and valence state of the catalyst were analyzed by X-ray powder diffraction (XRD), scanning electron microscope (SEM), transmission electron microscopy (TEM), and X-ray photoelectron spectroscopy (XPS). In 1 mol·L-1 KOH, the oxygen evolution reaction (OER) performance of the catalyst was measured by linear sweep voltammetry, cyclic voltammetry, and chronoamperometry. The results show that the combination of Ru doping and rGO provides a fast channel for collaborative electron transfer. At the same time, rGO as a carbon carrier can improve the electrical conductivity of Ru-Co3O4 particles, and the uniformly dispersed nanoparticles enable the reactants to diffuse freely on the catalyst. The results showed that the electrochemical performance of Ru-Co3O4/rGO was much better than that of Co3O4/rGO, and the overpotential of Ru-Co3O4/rGO was 363.5 mV at the current density of 50 mA·cm-2.
【大学化学】doi: 10.12461/PKU.DXHX202412104
秉持“科教融汇、协同育人”理念,融合人工智能(AI)与生物化学教学研究。本文探讨了AI技术在生物化学教学改革中的应用,构建了与生物医学工程专业教学案例——AI预测基因突变的功能效应,从案例实施背景、教学内容设计、组织实施及效果评价等方面,阐述了该AI赋能教学的典型案例设计与实施,培养学生的多学科交叉融合的学习思维。
【大学化学】doi: 10.12461/PKU.DXHX202405182
本文探讨了人工智能(AI)在化学领域的应用及其带来的革命性变化。AI通过其强大的数据分析和模式识别能力,正在改进化学研究方法,从分子合成到药物发现等多个领域实现了突破。具体案例包括利用AI加速新材料发现、实现自主化学实验室操作、推动个性化化学教育等。此外,AI在环境化学和绿色化学领域的应用也展现了其在污染物行为分析和新能源技术开发方面的潜力。本文强调了跨学科合作、数据共享、AI课程引入等措施的重要性,以充分发挥AI在化学领域的潜力,推动科学研究的进一步发展。