Editorial Material
Multidisciplinary Sciences
Kab-Jin Kim, Kyung-Jin Lee
Summary: Applying strain to an antiferromagnetic material allows its magnetization to be fully switched with an electric current, making it significant for next-generation magnetic memory devices.
Editorial Material
Multidisciplinary Sciences
Cecile Repellin
Summary: This statement describes how layers of a thin semiconductor material overlap in a specific pattern, leading to particle currents that carry a fraction of an electron's charge and have the potential to encode quantum information.
Article
Nanoscience & Nanotechnology
Peter C. Sherrell, Andris Sutka, Nick A. Shepelin, Linards Lapcinskis, Osvalds Verners, Liva Germane, Martin Timusk, Renzo A. Fenati, Kaspars Malnieks, Amanda Ellis
Summary: Contact electrification and the triboelectric effect are complex processes for mechanical-to-electrical energy conversion. Rigorous experiments on different interfaces provide clear evidence of material transfer between polymeric materials. A generalized model considering the cohesive energy density of polymers as a critical parameter for contact electrification is discussed.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Physical
Nikita Serov, Vladimir Vinogradov
Summary: This study developed scanning and transmission electron microscopy inverse image search and hand drawing-based search methods for custom nanomaterials with desired structure, shape, and size. The VGG16 convolution neural network was repurposed for image features extraction and image similarity determination through transfer learning.
Article
Geosciences, Multidisciplinary
Ralph D. Lorenz
Summary: Saltation modeling by Comola et al. (2022) suggests smaller sand size and frequent sand transport on Titan, contradicting previous assumptions. The upcoming Dragonfly mission can test these predictions.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Chemistry, Multidisciplinary
Francesca Tavazza, Brian DeCost, Kamal Choudhary
Summary: Uncertainty quantification is crucial in AI-based material properties predictions, and in this study, three different approaches were compared for evaluating individual uncertainties. Directly modeling individual uncertainties was found to be the most convenient and accurate method among the three approaches.
Article
Physics, Multidisciplinary
Guru Khalsa, Nicole A. Benedek, Jeffrey Moses
Summary: This study demonstrates how resonant optical excitation of IR and Raman phonons can induce changes in optical properties of materials. Additionally, it explores the possibility of controlling optical constants through a forgotten pathway of nonlinear lattice polarizability, expanding the toolbox for the development of new optical technologies.
Article
Chemistry, Multidisciplinary
Weiqiang Zhao, Fei Shao, Fuqin Sun, Zihao Su, Shiyong Liu, Ting Zhang, Meifang Zhu, Zunfeng Liu, Xiang Zhou
Summary: Neurons have excellent signal transmission capacity, inspiring the development of artificial neuron materials for wearable electronics and soft robotics. Sticky artificial spider silk made of a proton donor-acceptor hydrogel fiber is developed, which exhibits excellent mechanical properties, stickiness, and ion conductivity. The high spinning capacity of the hydrogel allows for a wide range of donor-acceptor combinations. This PrDA artificial spider silk has the potential to revolutionize the design of artificial neuron materials, bio-electrodes, and artificial synapses.
ADVANCED MATERIALS
(2023)
Article
Multidisciplinary Sciences
Alice E. A. Allen, Alexandre Tkatchenko
Summary: Machine learning models can provide fast and accurate predictions of material properties, but they often lack transparency. This study demonstrates that simple linear combinations can be used to create interpretable models, which have comparable accuracy to the originally used kernel and neural network approaches.
Article
Infectious Diseases
Wilma van Rensburg, Marina Rautenbach
Summary: Modified antimicrobial and antifouling materials and surfaces can effectively limit the propagation of microorganisms and reduce the occurrence of infection, transfer, and spoilage. Tyrocidines, naturally produced cyclo-decapeptides, have been found to readily associate with materials, particularly polysaccharide-type materials like cellulose. The association between tyrocidines and cellulose is unique and their antimicrobial activity remains active under various conditions.
Editorial Material
Multidisciplinary Sciences
Rohit Batra
Summary: This article introduces a machine learning strategy for training predictive models of material properties using multi-fidelity data, which takes advantage of the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model that predicts a key property of materials.
Article
Computer Science, Information Systems
Kohei Makino, Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
Summary: Materials informatics requires large-scale collection and analysis of material synthesis procedures described in the literature. This study constructs a pipeline system that extracts synthesis procedures from text and analyzes them as flow graphs. Evaluation and application of the system confirm the reasonableness of the extracted procedures.
Article
Metallurgy & Metallurgical Engineering
S. Dieck, O. Michal, M. Wilke, T. Halle
Summary: In the second half of the 19th century, Hermann Gruson, an industrialist and inventor from Magdeburg, developed a wonder material called chilled cast iron, which had extraordinary wear resistance surpassing traditional wrought steels. This material gained worldwide fame and was widely used as a protective material. The study of its mechanical and microstructural properties using modern analytical methods provided interesting insights into both the material itself and its innovative inventor.
PRAKTISCHE METALLOGRAPHIE-PRACTICAL METALLOGRAPHY
(2023)
Editorial Material
Multidisciplinary Sciences
Michael Eisenstein
Summary: AI and robotics have the potential to revolutionize various research fields, such as handling deep-sea organisms and improving climate forecasting.
Editorial Material
Multidisciplinary Sciences
Matthew J. Marinella, A. Alec Talin
Summary: Future progress in computing requires innovative ways to map material characteristics to logic functions, and a molecular memristor device, such as an iron complex, offers a way forward.