AI for BMN Strings — Draconitic Research

Abstract

With the assistance of AI (Artificial Intelligence) tools, we revisit some mathematically well-formulated problems from our previous studies of BMN (Berenstein-Maldacena-Nastase) strings on type IIB string theory pp-wave background. These mathematical problems have important physical implications, relating to the computations of higher-genus critical superstring amplitudes, possible estimate of the cosmological constant. We make significant progress on some problems, while others remain unresolved.

Cite

BibTeX RIS

BibTeX

@misc{huang2026strings,
  title = {{AI for BMN Strings}},
  author = {Min-xin Huang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.39769},
  eprint = {2609.39769},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.39769},
  note = {CC BY 4.0},
}

RIS

TY  - UNPB
TI  - AI for BMN Strings
AU  - Min-xin Huang
PY  - 2026
DA  - 2026/09/30
PB  - arXiv
DO  - 10.48550/arxiv.2609.39769
UR  - https://arxiv.org/abs/2609.39769
AB  - With the assistance of AI (Artificial Intelligence) tools, we revisit some mathematically well-formulated problems from our previous studies of BMN (Berenstein-Maldacena-Nastase) strings on type IIB string theory pp-wave background. These mathematical problems have important physical implications, relating to the computations of higher-genus critical superstring amplitudes, possible estimate of the cosmological constant. We make significant progress on some problems, while others remain unresolved.
ER  -