A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

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, ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing ...

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

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 ...

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 ...

In material design, traditional crystal structure prediction approaches are expensive as they require extensive structural sampling through expensive energy minimization methods. Emerging artificial ...

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 ...

One of the most fascinating aspects of physics is that nature often behaves in ways that seem completely counterintuitive. A good example comes from ultrathin materials. If I take a sheet of material ...

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 ...