Epitaxy is a key enabler of next‐generation nano/microelectronics and solid‐state quantum information systems. Demands on epitaxy of emerging materials including 2D materials and quantum materials are rapidly growing to realize various proposed applications.
Yeonjoo Lee+3 more
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This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
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Beyond Core–Shell Micellar Structures: Complex Structures in Simple Surfactants
The structure of Triton X‐100 assemblies is examined and compared with that of C12EO10 micelles. Although both have similar molecular weights and identical hydrophilic segments, in these findings, it is revealed that Triton X‐100 cannot be represented by a singular structure.
Henrique Musseli Cezar+4 more
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Value of information‐driven innovation in Gerber saddles monitoring
Abstract Innovation plays a crucial role in shaping technological, economic, and social progress in modern societies. In the realm of bridge integrity management, the development and diffusion of technologies to acquire information can significantly enhance industries' safety and functionality capabilities.
Giancarlo Costa+3 more
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Update on the German and Australasian Optical Ground Station Networks
ABSTRACT Networks of ground stations designed to transmit and receive at visible and infra‐red wavelengths through the atmosphere offer an opportunity to provide on‐demand, high‐bandwidth, secure communications with spacecraft in Earth orbit and beyond. This work describes the operation and activities of current free space optical communications (FSOC)
Nicholas J. Rattenbury+24 more
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Experimental and computational methods for studying relaxation of aluminosilicate glasses: A review
Abstract Relaxation plays a critical role in all glasses, especially those that undergo heat treatments for industrial applications. However, the fundamental mechanisms of relaxation are still poorly understood, especially in industrially relevant glasses such as aluminosilicate systems.
Brittney M. Hauke+2 more
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Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a ...
Ali Pourzangbar+3 more
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ML‐driven models for predicting CO2 uptake in metal–organic frameworks (MOFs)
Abstract This study advances the discourse on the application of machine learning (ML) algorithms for the predictive analysis of CO2 uptake in metal–organic frameworks (MOFs), with a nuanced focus on the CATBoost model's capability to navigate the complexities inherent in MOFs' heterogeneous landscape.
Sofiene Achour, Zied Hosni
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Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Abstract The randomly pivoted Cholesky algorithm (RPCholesky) computes a factorized rank‐k$k$ approximation of an N×N$N \times N$ positive‐semidefinite (psd) matrix. RPCholesky requires only (k+1)N$(k + 1)N$ entry evaluations and O(k2N)$\mathcal {O}(k^2 N)$ additional arithmetic operations, and it can be implemented with just a few lines of code.
Yifan Chen+3 more
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Abstract Studies of cold‐active enzymes may elucidate the basis for low‐temperature activity and contribute to their wider application in energy‐efficient processes. Here we investigate the cold‐active GH2 β‐galactosidase from the psychrophilic bacterium Alkalilactibacillus ikkensis (AiLac).
Jan S. Nowak+9 more
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