Deep generative models are powerful tools for the exploration of chemical space, enabling the on-demand generation of molecules with desired physical, chemical or biological properties. However, these ...

Language models are now also being used in the natural sciences. In chemistry, they are employed, for instance, to predict new biologically active compounds. Chemical language models (CLMs) must be ...

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Large language models (LLMs), particularly transformer-based models, are experiencing rapid advancements in recent years. These models have been successfully applied to various domains, including ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

While making chemistry more sustainable is paramount, tiny changes to lab materials and conditions can have significant ...

The second paper proposes revised core-collapse supernova yield models calibrated directly to the Perseus abundance pattern, covering both the silicon group and iron-peak elements such as chromium, ...

As the world looks for ways to stop climate change, much discussion focuses on using hydrogen instead of fossil fuels, which emit climate-warming greenhouse gases (GHGs) when they're burned. The idea ...

If life exists on Saturn's moon Enceladus of Jupiter's moon Europa, these scientists are on the trail. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it ...