论文标题
Cyjax：与Jax的Calabi-yau指标的包装
CYJAX: A package for Calabi-Yau metrics with JAX
论文作者
论文摘要
我们介绍了Cyjax的第一个版本，这是用于使用JAX的机器学习Calabi-yau指标的软件包。它本来可以作为顶级工具和模块化函数库访问。 Cyjax目前以代数Ansatz为中心，以自动满足贴片重叠的Kählerity和兼容性。截至目前，此实现仅限于一个复杂的投影空间上的单个定义方程所定义的品种。我们评论一些计划的概括。
We present the first version of CYJAX, a package for machine learning Calabi-Yau metrics using JAX. It is meant to be accessible both as a top-level tool and as a library of modular functions. CYJAX is currently centered around the algebraic ansatz for the Kähler potential which automatically satisfies Kählerity and compatibility on patch overlaps. As of now, this implementation is limited to varieties defined by a single defining equation on one complex projective space. We comment on some planned generalizations.
