Non-volatile tunable optics by design: from chalcogenide phase-change materials to device structures
D Wang, L Zhao, S Yu, X Shen, JJ Wang, C Hu… - Materials Today, 2023 - Elsevier
Integration of chalcogenide phase-change materials (PCMs) with planar multilayer
structures, metasurfaces, waveguides and photonic integrated circuits has sparked …
structures, metasurfaces, waveguides and photonic integrated circuits has sparked …
Glass formulation and composition optimization with property models: A review
Glass is a versatile material with a remarkable history and many practical applications. It
plays a critical role in our everyday lives, the advancement of science, and the development …
plays a critical role in our everyday lives, the advancement of science, and the development …
Glass hardness: Predicting composition and load effects via symbolic reasoning-informed machine learning
Glass hardness varies in a non-linear fashion with the chemical composition and applied
load, a phenomenon known as the indentation size effect (ISE), which is challenging to …
load, a phenomenon known as the indentation size effect (ISE), which is challenging to …
Machine learning-assisted MD simulation of melting in superheated AlCu validates the Classical Nucleation Theory
The validity of the Classical Nucleation Theory (CNT), the standard tool for describing and
predicting nucleation kinetics in metastable systems, has been under scrutiny for almost a …
predicting nucleation kinetics in metastable systems, has been under scrutiny for almost a …
[HTML][HTML] Predicting the stacking fault energy in FCC high-entropy alloys based on data-driven machine learning
X Zhang, R Dong, Q Guo, H Hou, Y Zhao - Journal of Materials Research …, 2023 - Elsevier
The properties of high-entropy alloys (HEAs) depend primarily on the composition and
content of elements. However, getting the optimal composition of alloying elements through …
content of elements. However, getting the optimal composition of alloying elements through …
Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models
YK Phua, T Fujigaya, K Kato - Science and Technology of …, 2023 - Taylor & Francis
Anion exchange membranes (AEMs) are core components in fuel cells and water
electrolyzers, which are crucial to realize a sustainable hydrogen society. The low anion …
electrolyzers, which are crucial to realize a sustainable hydrogen society. The low anion …
Accelerated design of chalcogenide glasses through interpretable machine learning for composition–property relationships
Chalcogenide glasses (ChGs) possess various outstanding properties enabling essential
applications, such as optical discs, infrared cameras, and thermal imaging systems. Despite …
applications, such as optical discs, infrared cameras, and thermal imaging systems. Despite …
Predicting spectroscopic properties of quaternary phosphate laser glasses
S Dong, W Wang, Y Jia, Q Zhang - Journal of the American …, 2024 - Wiley Online Library
Quantitative composition‐structure‐property (C–S–P) relationship analysis is a promising
approach to correlate structural features with properties of glasses that have complex …
approach to correlate structural features with properties of glasses that have complex …
[HTML][HTML] Design of a homologous series of molecular glassformers
We design and synthesize a set of homologous organic molecules by taking advantage of
facile and tailorable Suzuki cross coupling reactions to produce triarylbenzene derivatives …
facile and tailorable Suzuki cross coupling reactions to produce triarylbenzene derivatives …
Concurring effect of doping and composition on the thermodynamic properties of amorphous GexSe1-x alloys
F Tavanti, A Calzolari - Acta Materialia, 2024 - Elsevier
Chalcogenide materials are attracting growing attention for their ability to switch between
different electrical states in response to temperature or current changes. In particular …
different electrical states in response to temperature or current changes. In particular …