In faded photographs from the 1960s, organic-chemistry laboratories look like an alchemist's paradise. Bottles of reagents line the shelves; glassware blooms from racks of wooden pegs; and scientists ...

More information Takuya Taniguchi et al, Crystal structure prediction of organic molecules by machine learning-based lattice sampling and structure relaxation, Digital Discovery (2025). DOI: ...

Physicists at the University of Münster are the first to successfully reveal the dynamic interaction of a class of artificial molecular machines—the so-called molecular shuttles—by using ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

Scientists have grown a tiny brain-like organoid out of human stem cells, hooked it up to a computer, and demonstrated its potential as a kind of organic machine learning chip, showing it can quickly ...

Organic electronics could change the electronics industry with their high cost-efficiencies and versatility compared with more commonly used inorganic electronics. For example, their flexibility could ...

The demand for low-cost, flexible wireless communications and applications has stoked interest in wireless energy harvesting innovation. For example, scientists were able to use organic material for a ...