nansheng.me

What It Is

nansheng.me is Nan Sheng's personal academic homepage. According to the site content, the owner is a PhD candidate in Computational Mathematics at Stanford University's Institute for Computational and Mathematical Engineering, with a prior PhD in Chemical Physics from the University of Chicago, and bachelor's degrees in Physics and Chemistry from the University of Chinese Academy of Sciences. The core purpose of the site is to centrally showcase his research interests, publication outputs, teaching experience, CV, and external academic profiles.

Core Features

The site's information architecture is very straightforward: the top navigation includes links to Home, Research, Papers, Teaching, and CV. The homepage features a personal introduction, research areas, recent focus directions, and selected publications. His research topics are centered on mathematics and computational science, with a particular focus on quantum many-body theory, density functional theory, Kohn–Sham theory, Green's functions, embedding methods, tensor methods, and AI methods in molecular/materials science. The publication list includes links to platforms such as arXiv, making it convenient for readers to access the original papers for further reading.

Pricing

This is a public personal homepage, with no charges for registration, subscriptions, course purchases, or commercial services involved. All on-page content should be accessible for free. Access to external links such as Google Scholar, GitHub, LinkedIn, and arXiv depends on the availability of the respective platforms themselves.

Pros and Cons

Pros: It has a clear positioning, lightweight pages, and high information credibility, making it suitable for quickly assessing a researcher's background and research directions. Publications are organized by topic, which provides high reference value for researchers in related fields.
Cons: It is not a course platform, and offers no systematic tutorials, interactive features, or Chinese language version; the publication management functionality is relatively basic, with no enhanced features such as on-site search, citation export, or topic tags observed.

Who It Is Best For

It is most suitable for researchers, graduate students, applicants, or potential collaborators in the fields of computational mathematics, computational physics, theoretical chemistry, materials simulation, quantum many-body theory, and scientific machine learning. If a user is only looking for accessible popular science content or online courses, this site will have a relatively high barrier to entry.

Access in China

Personal domain homepages are usually accessible via direct connection, and no reliance on complex services is observed in the main content. However, some external links such as Google Scholar, GitHub, and LinkedIn may experience unstable or restricted access in mainland China, so additional network conditions may be required to view the full academic profiles.