Tennisatw的博客 - Blog of Tennisatw

真正有意义的问题一经思考讨论，就有可能推动事情发展。而“经由我们的努力，让周围环境变得更好”才是键政的社会意义。
The political questions that do matter are questions that, once considered and discussed, have the potential to drive real change. And that’s the true social significance of political discourse：“Through our efforts, we can make our surroundings better.”

对于非计算机专业的人来说，c/c++的配置和构建相当复杂。这里给习惯vscode的windows用户推荐一个简单的方案：使用vscode及插件 + msys2作为开发环境。

我购买了Openai的ChatGPT pro会员，使用其Deep Research（深度研究）功能，撰写了一篇有关近5年Molecular Dynamics（分子动力学）研究的学术综述。

论阅历，没有人比大语言模型（LLM）读过的书更多了，论知识，没有人比LLM的知识更丰富，论认知，只要你用的多了就会发现，LLM的认知明显高于一般人。所以LLM完全可以充当你我的人生导师。
In terms of experience, no one has read more books than a large language model (LLM). In terms of knowledge, no one is more knowledgeable than an LLM. In terms of cognition, the more you use it, the more you'll realize that an LLM's cognition is significantly higher than that of the average person. So, an LLM can absolutely serve as a life coach for us.

自然界中的手性偏好可能源于自催化分子手性与活性突变的不均衡。出于好奇，我们通过模拟自催化分子的演化过程，考察了手性在时间演变中的分布变化。
The chiral preference observed in nature may stem from an imbalance between the self-catalytic chirality of molecules and active mutations. Out of curiosity, we simulated the evolutionary process of self-catalytic molecules to explore how chirality evolves over time.

Tennisbot更新至第六版，新版本支持Linux服务器运行，大幅重构代码结构使其更现代化，并全面支持中英文。本文详细介绍了更新内容、项目特性及部署方法。

VSCode（配合GitHub Copilot），Cursor，和WindSurf是三种常见的AI辅助的代码编辑软件。它们的界面风格和功能（特指AI功能）大同小异，使用体验上也有很多相似之处。本人已处在选择困难状态长达半年之久，故对这三种软件的界面风格和功能进行了对比及打分。最终，Cursor以微弱优势胜出。
VSCode (with GitHub Copilot), Cursor, and WindSurf are three common AI-assisted code editing software. They share similar interface styles and features (specifically AI features), with comparable user experiences. Having been in a state of decision paralysis for half a year, I've compared and rated these three software's interface styles and features. In the end, Cursor emerged victorious by a narrow margin.

本文总结了我们团队近期完成的一个小项目：使用Lammps模拟两种MOF（TUB75和TUB76）在潮湿环境下对CO2吸附作用的动力学。本模拟旨在解释为何TUB75在潮湿环境下仍能表现出优异的CO2吸附性能，并预测TUB76是否也具备类似性能。
This article summarizes a recent small project completed by our team：using Lammps to simulate the dynamics of CO2 adsorption by two MOFs (TUB75 and TUB76) in a humid environment. The simulation aims to explain why TUB75 exhibits excellent CO2 adsorption performance in a humid environment and to predict whether TUB76 has similar performance.