Mesoporous materials are a class of nanomaterials characterized by their highly ordered porous structure with pore sizes ranging from 2 to 50 nanometers. These materials possess large surface areas, ...
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
"A compelling reason to find ways to produce stable thin films with layered, nearly two-dimensional structures is that many of them have unusual chemical, semiconducting, or quantum properties. This ...
Recent advances in deep learning generative models (GMs) have created high capabilities in accessing and assessing complex high-dimensional data, allowing superior efficiency in navigating vast ...
In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...
In material design, traditional crystal structure prediction approaches are expensive as they require extensive structural sampling through expensive energy minimization methods. Emerging artificial ...
See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. A bizarre "Rule of Four" has been identified in the basic structure of ...
The AI-driven framework of optimizing the mechanical property of 2D-PHS. Two-dimensional patterned hollow structures (2D-PHS) are an advanced class of metamaterials known for their unique mechanical ...
With the growing demand for resilient, efficient, and low carbon infrastructure, increasing attention has been directed toward novel materials and ...
Scientists have created a new kind of carbon material that could make carbon capture much cheaper and more efficient. By carefully controlling how nitrogen atoms are arranged, they found certain ...
New insights into nanomagnetic networks promise advances in energy-efficient computing. (Nanowerk News) As the world’s energy needs for computing and artificial intelligence continue to increase, ...
As the world's energy needs for computing and artificial intelligence continue to increase, developing alternative low-power solutions to traditional computing becomes crucial. Devices that reliably ...
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