With the growing availability of data within various scientific domains, generative models hold enormous potential to accelerate scientific discovery. They harness powerful representations learned from datasets to speed up the formulation of novel hypotheses with the potential to impact material discovery broadly. We present the Generative Toolkit for Scientific Discovery (GT4SD). This extensible open-source library enables scientists, developers, and researchers to train and use state-of-the-art generative models to accelerate scientific discovery focused on material design.
翻译:随着不同科学领域数据不断增多,基因模型具有加速科学发现的巨大潜力,它们利用从数据集中学习的有力表现来加速制定有可能对材料发现产生广泛影响的新假设,我们提出了科学发现创创工具包(GT4SD),这一可扩展的开放源码图书馆使科学家、开发者和研究人员能够培训和使用最先进的基因模型来加速以材料设计为重点的科学发现。
Material Design Guidelines