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 ...
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 ...
As radar technology advances and the application of electromagnetic waves (EMW) become more prevalent, the issue of electromagnetic pollution has become increasingly pressing. Therefore, it is crucial ...
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 ...
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 ...
An international team led by Rutgers University-New Brunswick researchers has merged two lab-synthesized materials into a synthetic quantum structure once thought impossible to exist and produced an ...
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 ...
Most solid materials we rely on, from steel, to plastics and ceramics, are designed to have specific properties. Whether a material is soft and flexible, or stiff and tough depends on how molecules ...
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, ...
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