We introduce a new approach, based on machine learning, to estimate pre‐eruptive temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only chemistry. The model is calibrated for magmas of a wide compositional range, it complements existing models, and it can be applied independently of tectonic setting. Additionally, it allows the identification of the main chemical exchange mechanisms occurring in response to pressure and temperature variations on the base of experimental data without a priori assumptions. After the validation process, performances are assessed with test data never used during the training phase. We estimate the uncertainty using the root‐mean‐square error (RMSE) and the coefficient of determination (R²). The application of the best performing algorithm (trained in the range 0–40 kbar and 952–1882 K) to clinopyroxene‐melt pairs from primitive to extremely differentiated magmas of both subalkaline and alkaline systems returns a RMSE on the order of 2.6 kbar and 40 K for pressure and temperature, respectively. We additionally present a melt‐ and temperature‐independent clinopyroxene barometer in the range 0–40 kbar, characterized by a RMSE of the order of 3 kbar. Tested for tholeiitic compositions in the range 0–10 kbar, the melt‐ and temperature‐independent clinopyroxene barometer has a RMSE of 1.7 kbar. We finally apply the proposed approach to clinopyroxenes from Iceland, providing new, independent, insights about pre‐eruptive storage depths of Icelandic volcanoes. The general applicability of this model will promote the comparison between the architecture of plumbing systems across tectonic settings and facilitate the comparison between petrologic and geophysical studies.

中文翻译：

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机器学习热压法：应用于含斜ino的岩浆

我们引入了一种基于机器学习的新方法，该方法可以使用斜基对苯二酚熔体对和仅斜基对苯二酚的化学物质估算出术前温度和储藏深度。该模型已针对广泛成分范围的岩浆进行了校准，是对现有模型的补充，并且可以独立于构造背景应用。另外，它允许根据实验数据来确定响应压力和温度变化而发生的主要化学交换机制，而无需事先假设。验证过程之后，将使用培训阶段从未使用过的测试数据来评估性能。我们使用均方根误差（RMSE）和确定系数（R ²）。将性能最佳的算法（在0–40 kbar和952–1882 K的范围内训练）应用于次氯碱和碱系统的原始至高度分化岩浆的斜对茂熔体对，得出的RMSE约为2.6 kbar和40 K分别代表压力和温度。我们还提出了一种不依赖于熔融和温度的斜cl气压计，范围为0–40 kbar，其RMSE约为3 kbar。经过测试的0至10 kbar范围内的热塑性成分，与熔体和温度无关的斜py气压表的RMSE为1.7 kbar。最后，我们将所建议的方法应用于来自冰岛的斜柏，提供了有关冰岛火山喷发前储藏深度的新的独立见解。