Patterns Lead the Way to Far-from-Equilibrium Materials

被引:4
|
作者
Knoll, Pamela [1 ]
Ouyang, Bin [2 ]
Steinbock, Oliver [2 ]
机构
[1] Univ Edinburgh, Sch Phys & Astron, Inst Condensed Matter & Complex Syst, Edinburgh EH9 3FD, Scotland
[2] Florida State Univ, Dept Chem & Biochem, Tallahassee, FL 32306 USA
来源
ACS PHYSICAL CHEMISTRY AU | 2023年 / 4卷 / 01期
关键词
self-organization; high-entropy materials; biomorphs; pattern formation; origins of life; machine learning; artificial intelligence; DESIGN; LIFE; BIOCHEMISTRY; ORIGIN; RIBOSE; ENERGY;
D O I
10.1021/acsphyschemau.3c00050
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The universe is a complex fabric of repeating patterns that unfold their beauty in system-specific diversity. The periodic table, crystallography, and the genetic code are classic examples that illustrate how even a small number of rules generate a vast range of shapes and structures. Today, we are on the brink of an AI-driven revolution that will reveal an unprecedented number of novel patterns, many of which will escape human intuition and expertise. We suggest that in the second half of the 21st century, the challenge for Physical Chemistry will be to guide and interpret these advances in the broader context of physical sciences and materials-related engineering. If we succeed in this role, Physical Chemistry will be able to extend to new horizons. In this article, we will discuss examples that strike us as particularly promising, specifically the discovery of high-entropy and far-from-equilibrium materials as well as applications to origins-of-life research and the search for life on other planets.
引用
收藏
页码:19 / 30
页数:12
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