Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Microbial cement combines energy storage and structural support, showcasing self-regeneration and improved performance ...

SGS has reaffirmed its position as a leader in sustainability and ESG performance by achieving the highest AAA rating in MSCI ESG Ratings for the ...

Scientists have developed a new multi-layered metalens design that could revolutionize portable optics in devices like phones ...

Abstract: Harmonic diffractive optical elements (HDOEs) are characterized by their lightweight and compact size, making them promising candidates for applying in future large-aperture space optical ...

The review synthesizes key studies in holography, showcasing how wavefront control and SLM arrangements are crucial for achieving high-resolution 3D displays.

The AR glasses optical waveguide system consists of a display and an optical lens that uses TIR principles to transport light ...

Research shows carbonated boron mud optimizes magnesium sulfate cement performance, offering a sustainable solution for ...

A new study published in Biochar presents a detailed bibliometric analysis showcasing the rapid growth and diverse ...

Finding another Earth is the holy grail of modern astronomy. NASA’s upcoming Habitable Worlds Observatory (HWO) is ...

A new MOF design using controlled crystallization achieves a rare combination of fast, stable hydrogen storage and low system ...