Finding new solar cell materials among the vast elemental combinatorial space is an onerous task—one that should not be left to serendipity. Two recent papers, one published in npj Computational Materials and another in Journal of Physical Chemistry C, report advanced machine learning approaches to predict the band gap of new ABX₃ perovskite materials. These methods represent continued progress toward accelerated materials discovery for photovoltaics.

中文翻译：

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太阳能材料发现带隙

在广阔的元素组合空间中寻找新的太阳能电池材料是一项艰巨的任务-不应任凭偶然性。最近有两篇论文发表在npj Computational Materials上，另一篇发表在Journal of Physical Chemistry C上，报告了先进的机器学习方法来预测新型ABX ₃钙钛矿材料的带隙。这些方法代表了加速光伏材料发现的持续进展。