JPhys Materials开放问题征稿|人工智能能设计出真正新颖的材料吗？

系列介绍

问题详情

Aron asks: Can artificial intelligence design materials that are truly novel?

Dimensions to consider:

a. Metrics for quantifying novelty in chemical compositions and crystal structures.

b. Inverse design, including the use of large language models and other generative techniques.

c. Data-driven screening and  closed-loop automated experimentation.

We invite you to share your views by submitting your work in a format that best suits your findings. This includes:

• Perspective articles that provide viewpoints on the state of the art, challenges to be addressed, and/or an outlook on the future;
• Original research papers reporting new results that directly speak to the question;
• Topical review papers that provide a survey of recent and significant developments in the field.

投稿流程

本系列将包括受邀投稿，但也向所有感兴趣的人开放，以收集该领域研究人员对这一问题的代表性观点。

本系列文章与JPhys Materials期刊常规文章遵循相同的审稿流程和内容标准，并采用同样的投稿模式。

有关准备文章及投稿的详细信息，可以参阅IOPscience页面的作者指南。

作者可登入期刊主页进行在线投稿，先选择“文章类型”，然后在下拉框中选择“Open Questions in Materials Science”。

投稿截止日期：2025年10月31日。