Due to growth, we are seeking an experienced Applied ML Researcher (Generative Models)* to join our growing team and build SOTA generative models to design new materials at CuspAI.

Advancements in artificial intelligence and machine learning are reshaping scientific research, with notable benefits for materials design and modelling. We spoke with Aron Walsh, Professor in Materia...

Point defects critically influence material properties and require accurate computational modelling for reliable predictions. This Perspective outlines best practices for defect simulations using supe...

Due to growth, we are seeking an experienced Applied ML Researcher (Generative Models)* to join our growing team and build SOTA generative models to design new materials at CuspAI.

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The milestone makes machine-learning trailblazer Yoshua Bengio the most cited researcher on Google Scholar.

A language empowering everyone to build reliable and efficient software.

Oxides of non-magnetic cations exhibit elusive signs of weak temperature-independent ferromagnetism. The effect is associated with surface defects, but it defies conventional explanation. Possible hyp...

The advancement of nanotechnology has enabled magnetic nanomaterials to exhibit remarkable potential and application value in medicine, transportation, information storage, and spintronics owing to th...

Marie-Liesse Doublet, Montpelier - The Mirage of Anionic Redox for High-Energy Batteries Alexander Squires, Birmingham - Mixed-anion NaTaOxCl6-2x oxychlorides: From crystalline to amorphous networks f...

We report the effects of reduced dimensionality and organic networks on defect reactions in a hybrid solid of PbS (galena). Through first-principles calculations, we demonstrate that formation of the ...