Publications by authors named "Sachini Kadaoluwa Pathirannahalage"
Serial crystallography of membrane proteins often employs high-viscosity injectors (HVIs) to deliver micrometre-sized crystals to the X-ray beam. Typically, the carrier medium is a lipidic cubic phase (LCP) media, which can also be used to nucleate and grow the crystals. However, despite the fact that the LCP is widely used with HVIs, the potential impact of the injection process on the LCP structure has not been reported and hence is not yet well understood.
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- * Machine learning techniques were employed on existing data to develop accurate predictions for the viscosity and conductivity of 1827 different cation-anion combinations of protic ILs.
- * The effectiveness of these predictive models was demonstrated by creating ten new protic ILs, validating that even limited data can effectively forecast the properties of a wide range of ILs.
Article Synopsis
- - Water is a crucial solvent in biology and various scientific fields, leading to the development of multiple water models for simulating biological and chemical processes.
- - A recent study compared 30 different water models, finding that newer models generally align better with experimental properties like density and self-diffusion, but none could perfectly replicate all properties.
- - Machine learning techniques were used to analyze how the parameters of these water models relate to their bulk properties, emphasizing the complexities in creating a universal water model that captures all its characteristics accurately.