Scientists from the Institute of Industrial Science, The University of Tokyo, demonstrate that accounting for liquid preordering is essential to predicting crystal growth
Crystallization in liquids is a fundamental phase transition. While for many years, the understanding of crystallization was governed by "classical nucleation theory," recent research has shifted focus to non-classical pathways in crystallization. In a new study, scientists from the Institute of Industrial Science, The University of Tokyo reveal that the crystal precursor structure, which forms spontaneously as a structural fluctuation in a supercooled liquid, has a critical impact on crystal nucleation and growth.
Crystallization—the formation of homogenous, ordered solids from liquids—is a crucial process in a variety of fields, ranging from atmospheric science to pharmaceuticals to semiconductor manufacturing. As such, an understanding of crystallization on a molecular level is a critical research area with wide applicability. For decades, crystallization has been understood in terms of classical nucleation theory (CNT). CNT states that microscopic solids (nuclei) form randomly and spontaneously from the liquid and begin growing into a crystal once they exceed a certain size. However, more recent research in the field has demonstrated that CNT is not always valid and that non-classical pathways need to be explored to fully understand the phenomenon of crystallization.
Studies on the structural properties of glass-forming liquids (liquids which form a non-crystalline, amorphous "solid" upon supercooling) have shown that, contrary to predictions by CNT, nucleation is not random. Instead, crystal nuclei are induced in specific preordered regions of the supercooled liquid that have local orientational symmetry which is consistent with the crystal. Moreover, recent research into fast crystal growth, which cannot be predicted by CNT, has cast doubt on one of the fundamental assumptions of CNT—that crystal growth rate is independent of interfacial tension (the propensity of a liquid to have a minimum free surface when in contact with another immiscible liquid).
To address these questions about CNT, a research team from the Institute of Industrial Science, The University of Tokyo (UTokyo-IIS), delved into the role of preordering on crystal growth and nucleation. The research team consisted of Professor Emeritus Hajime Tanaka of the Research Center for Advanced Science and Technology, UTokyo (formerly from Utokyo-IIS) and Dr. Yuan-Chao Hu, Yale University (formerly from Utokyo-IIS). The study, published in Nature Communications, highlights critical shortcomings in CNT and proposes critical modifications to address them.
In this study, the research team performed extensive molecular dynamics (MD) simulations of a supercooled nickel-aluminum alloy (NiAl). "We found that NiAl follows a non-classical crystallization pathway and that structural fluctuations in the precursors of crystals dramatically influenced crystal growth," reveals Dr. Hu.
The research team then developed a novel "order-killing strategy" to suppress preordering. They found that the order-killing strategy successfully reduced crystallization rate over several orders of magnitude. "Preordering reduces interfacial energy," explains Prof. Tanaka. "Our findings indicate that preordering and its associated reduction in interfacial energy are critical to crystal nucleation and growth, which exposes an important gap in CNT."
Prof. Tanaka and Dr. Hu then accounted for interfacial energy in their simulations by including an interfacial energy-related factor. They then evaluated the interfacial energy-related factor in eight different systems with different bonding types and crystal structures. "Our findings suggest that liquid preordering could be the most important contributor to crystallization kinetics and glass formation. This could have a significant ripple effect in both fundamental science and industrial applications," concludes Prof. Tanaka.
The findings of the study provide novel insights into crystallization kinetics. The implications of this study are sure to influence a wide-range of crystal-related applications, such as the control of silicon crystallization in the semi-conductor industry.
Reference
Title of original paper: Revealing the role of liquid preordering in crystallisation of supercooled liquids
Journal: Nature Communications
DOI: 10.1038/s41467-022-32241-z
About the Institute of Industrial Science, The University of Tokyo
The Institute of Industrial Science, The University of Tokyo (UTokyo-IIS) is one of the largest university-attached research institutes in Japan. UTokyo-IIS is comprised of over 120 research laboratories—each headed by a faculty member—and has over 1,200 members (approximately 400 staff and 800 students) actively engaged in education and research. Its activities cover almost all areas of engineering. Since its foundation in 1949, UTokyo-IIS has worked to bridge the huge gaps that exist between academic disciplines and real-world applications.
Website: https://www.iis.u-tokyo.ac.jp/en/
About Professor Hajime Tanaka from The University of Tokyo
Dr. Hajime Tanaka is a Professor Emeritus at the Research Center for Advanced Science and Technology, The University of Tokyo (UTokyo). He began his career in the Department of Applied Physics at UTokyo in 1982. He was then a member of the Institute of Industrial Science from 1990 until his retirement in 2020. He has been a visiting scientist at several prestigious institutions, such as, AT&T Bell Laboratories, USA, the University of Cambridge, UK, Ecole Normale Superieure, France, and the Max Planck Institute for Intelligent Systems, Germany. He researches glass transition, soft condensed matter physics, and phase separation. Prof. Tanaka has over 433 publications.
Website: https://www.softmatter.rcast.u-tokyo.ac.jp/Top_E.html
Funding information
This study was partially supported by Specially Promoted Research (JP20H05619) and Scientific Research (A) (JP18H03675) from the Japan Society of the Promotion of Science (JSPS). Yuan-Chao Hu is grateful for the financial support from a JSPS fellowship (JP19F19021).
