We adapted an existing approach to identifying stabilizable crystal structures from prediction sets─the Generalized Convex Hull (GCH)─to improve its application to molecular crystal structures. This w...

An opportunity for an academic position as a Research Associate positions in Computational Chemistry, AI in Chemistry, and in Neurosymbolic Learning for Chemistry is available, as advertised on jobs.a...

Smart worksheets are an emerging educational technology that supports self-directed learning and provides targeted feedback on student assessment, while also reducing staff marking workload. However, their adoption may be limited by high cost, limited flexibility, and proprietary ownership. This study presents the design, implementation, and evaluation of an open-source smart worksheet developed using Python. This worksheet provides a flexible, interactive platform for performing calculations, analysing data, and receiving real-time feedback. It supports automated grading, dynamic content updates and graphical data analysis. Student feedback indicates high satisfaction with the worksheet’s ability to enhance conceptual understanding and streamline the analysis process, demonstrating that students perceive similar learning benefits to commercial alternatives. Importantly, its open-source nature ensures adaptability across academic disciplines, enabling its use in diverse educational contexts to support assessment, feedback, and self-directed learning.

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