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 ...

Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...

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

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

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

Threads or ropes can easily be used for braiding, knotting, and weaving. In chemistry, however, processing molecular strands in this way is an almost impossible task. This is because molecules are not ...

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 ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model that, using only information about the target protein, can design optimal drug ...