New Paper: “Modular software for generating and modelling diverse polymer databases”

Machine learning has the potential to revolutionize the design of new functional materials, but building the large and diverse databases of molecules required for training these methods remains a challenge. Automated computational chemistry workflows have become an essential tool in this data-driven search for new materials with novel properties, providing …

New Paper: “LiPyphilic: A Python toolkit for the analysis of lipid membrane simulations”

Over the past several decades, lipid membranes have been one of the primary targets of study with molecular scale simulations.  Over this period of time, scientists have increasingly chosen to study more and more complex lipid membranes, while also wanting to measure increasingly complex structural and dynamical properties of the …