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.

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...

Single crystal diffraction analysis remains the gold standard for the three-dimensional atomic structure characterization of framework materials such as metal–organic frameworks, covalent organic fram...

Many physical properties of functional materials are governed by their impurities rather than their bulk characteristics. Defects in crystals can activate electronic and ionic conductivity, create act...