Low-Rank-Iteration-Method-for-Topological-Surface-States
Source Code for the paper "Low-Rank Iteration for Efficient Calculations of Topological Surface States"
A new way for AI to search for data
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What XERJ indexed
Licence
The repository
MIT
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-30. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
Example questions
- What does example_6 do in Low-Rank-Iteration-Method-for-Topological-Surface-States?
The prompt
Paste it into your AI agent. It clones KaiqiLiu-LKQ/Low-Rank-Iteration-Method-for-Topological-Surface-States at the pinned commit and indexes it on your machine.
Search the GitHub repository KaiqiLiu-LKQ/Low-Rank-Iteration-Method-for-Topological-Surface-States with XERJ (https://hub.xerj.org/corpus/kaiqiliu-lkq--low-rank-iteration-method-for-topological-surface-states). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/KaiqiLiu-LKQ/Low-Rank-Iteration-Method-for-Topological-Surface-States Low-Rank-Iteration-Method-for-Topological-Surface-States && git -C Low-Rank-Iteration-Method-for-Topological-Surface-States checkout cce678a48d04a51132d50330c555b6f8e5750d5e 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Low-Rank-Iteration-Method-for-Topological-Surface-States --url http://127.0.0.1:9200 --prefix low-rank-iteration-metho --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
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Selected work and consent: the XERJ registry.
