Distance-gated adaptive neural Ritz learning for nonconvex variational problems with localized phase transitions.

Lin A, Zhang Z, Zhao W

Open source

DOI
10.1016/j.neunet.2026.109851
Published
2026 Nov 6
Container
Neural networks : the official journal of the International Neural Network Society
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109851,
  title = {Distance-gated adaptive neural Ritz learning for nonconvex variational problems with localized phase transitions.},
  author = {Lin A and Zhang Z and Zhao W},
  year = {2026},
  journal = {Neural networks : the official journal of the International Neural Network Society},
  doi = {10.1016/j.neunet.2026.109851},
  url = {https://doi.org/10.1016/j.neunet.2026.109851}
}

RIS

TY  - JOUR
TI  - Distance-gated adaptive neural Ritz learning for nonconvex variational problems with localized phase transitions.
AU  - Lin A
AU  - Zhang Z
AU  - Zhao W
PY  - 2026
JO  - Neural networks : the official journal of the International Neural Network Society
DO  - 10.1016/j.neunet.2026.109851
UR  - https://doi.org/10.1016/j.neunet.2026.109851
ER  - 

APA

A, L., Z, Z., & W, Z. (2026). Distance-gated adaptive neural Ritz learning for nonconvex variational problems with localized phase transitions.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109851

Source records