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1 lis 2024 · Nature Materials journal covers a range of topics within materials science, from materials engineering and structural materials (metals, alloys, ceramics, composites) to organic and soft...
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Read the latest Research articles from Nature Materials. ......
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Direct visualization of polymer semiconductor structure in...
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The materials modelling community is emerging as a champion...
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Electrocaloric effects are large in a limited set of...
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Along the way, materials and technology innovations play an...
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Browse Subjects. Use this page to explore the subject terms...
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Nature Materials is a monthly multi-disciplinary journal...
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Nature Materials is actively committed to becoming a fully...
- Research articles
6 dni temu · Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying...
13 lis 2024 · Materials science articles within Nature Materials. Featured. News & Views | 13 November 2024. Terra incognita unravelled. Direct visualization of polymer semiconductor structure in...
Nature Materials is focused on all topics within the combined disciplines of materials science and engineering. Topics published in the journal are presented from the view of the impact that materials research has on other scientific disciplines such as (for example) physics, chemistry, and biology.
9 gru 2021 · Thinking of using natural materials in your project? Our latest Dezeen guide includes 12 types of biomaterials commonly used in architecture, design and interiors. The term biomaterials is used...
Examples of natural and biological materials which contain nanoscopic particles. ( a ) Naturally occurring nanoparticles of inorganic, elemental sulfur, for instance, are found at mineral wells rich in hydrogen sulfide, such as the Elisenbrunnen in Aachen.
29 lis 2023 · Today, in a paper published in Nature, we share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.
