For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

Generative models have gained widespread attention in recent years due to their inverse design capabilities and their potential to accelerate the molecular design and discovery processes. This ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

KAIST (President Kwang Hyung Lee) announced on the 10th that a research team led by Professor Woo Youn Kim in the Department of Chemistry has developed an AI model named BInD (Bond and ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

The modulation of RNA splicing by small molecules has emerged as a promising strategy for treating pathogenic infections, human genetic diseases, and cancer; however, the principles by which splicing ...

Discover how Optibrium is transforming early-stage drug discovery through AI-powered software, generative chemistry, and 3D modelling. In this interview, Matt Segall, CEO at Optibrium, shares insights ...

This study introduces a dual-particle emulsion design that separates sensing and stabilization roles, enabling robust SERS detection in complex biological and environmental samples. (Nanowerk ...