材料科学与工程：人工智能时代的新视野
Materials science and engineering: New vision in the era of artificial intelligence
摘要：
科学发现从实验，通过理论和计算，发展到目前的数据密集型范式。材料科学也不例外，尤其是计算材料科学。近年来，材料科学与工程（MSE）领域取得了巨大的成就。在这里，我们回顾了以前的材料科学的范式和一些经典的MSE模型。然后，我们的数据密集型MSE（DIMSE）模型被提出来重塑未来的材料创新。这项工作将有助于解决人工智能（AI）时代材料发现的全球挑战，并为加速未来材料连续体做出重要贡献。
英文摘要：
Scientific discovery evolves from the experimental, through the theoretical and computational, to the current data-intensive paradigm. Materials science is no exception, especially for computational materials science. In recent years, great achievements have been made in the field of materials science and engineering (MSE). Here, we review the previous paradigms of materials science and some classical MSE models. Then, our data-intensive MSE (DIMSE) model is proposed to reshape future materials innovations. This work will help to address the global challenge for materials discovery in the era of artificial intelligence (AI), and essentially contribute to accelerating future materials continuum.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
