Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...

An international team of researchers has developed a breakthrough method for producing MXenes—an important family of ...

Hybrid molecules containing organic and inorganic components were assembled through bottom-up synthesis into a continuous network of interpenetrating molecular-scale organic and inorganic ionic ...

Recently, National Science Review published the research work on the synthesis of quantum dots (QDs) in the nucleus of live cells by Dr. Hu Yusi, Associate Professor Wang Zhi-Gang, and Professor Pang ...

DeepMind has shared the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. They introduce Graph Networks for Materials Exploration (GNoME), a new deep learning ...

A research team led by Prof. Huang Qing from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences has developed a new way to "edit" the internal ...

Researchers at the Department of Energy's Oak Ridge National Laboratory are pioneering the design and synthesis of quantum materials, which are central to discovery science involving synergies with ...

Inorganic nanoparticles are nanoscale materials composed of inorganic compounds, such as metals, metal oxides, and semiconductors. These nanoparticles typically have sizes ranging from 1 to 100 ...

Jen Keane’s claim to fame is that she grew a shoe using bacteria, coaxing the microbes to deposit their nanocellulose materials in the shape of a sneaker. But she’s kind of over that. “I feel like ...

Numerous applications of phenolic compounds, a large family of naturally occurring molecules, in biosensing, bioimaging, and disease treatment can not be ...