Search Results - "Alston, Ben M"

Accelerated robotic discovery of type II porous liquids by Kearsey, Rachel J, Alston, Ben M, Briggs, Michael E, Greenaway, Rebecca L, Cooper, Andrew I

“…Porous liquids are an emerging class of materials and to date little is known about how to best design their properties. For example, bulky solvents are…”
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From Concept to Crystals via Prediction: Multi‐Component Organic Cage Pots by Social Self‐Sorting by Greenaway, Rebecca L., Santolini, Valentina, Pulido, Angeles, Little, Marc A., Alston, Ben M., Briggs, Michael E., Day, Graeme M., Cooper, Andrew I., Jelfs, Kim E.

“…We describe the a priori computational prediction and realization of multi‐component cage pots, starting with molecular predictions based on candidate…”
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Computationally-Guided Synthetic Control over Pore Size in Isostructural Porous Organic Cages by Slater, Anna G, Reiss, Paul S, Pulido, Angeles, Little, Marc A, Holden, Daniel L, Chen, Linjiang, Chong, Samantha Y, Alston, Ben M, Clowes, Rob, Haranczyk, Maciej, Briggs, Michael E, Hasell, Tom, Day, Graeme M, Cooper, Andrew I

“…The physical properties of 3-D porous solids are defined by their molecular geometry. Hence, precise control of pore size, pore shape, and pore connectivity…”
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A mobile robotic chemist by Burger, Benjamin, Maffettone, Phillip M., Gusev, Vladimir V., Aitchison, Catherine M., Bai, Yang, Wang, Xiaoyan, Li, Xiaobo, Alston, Ben M., Li, Buyi, Clowes, Rob, Rankin, Nicola, Harris, Brandon, Sprick, Reiner Sebastian, Cooper, Andrew I.

“…Technologies such as batteries, biomaterials and heterogeneous catalysts have functions that are defined by mixtures of molecular and mesoscale components. As…”
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Mining predicted crystal structure landscapes with high throughput crystallisation: old molecules, new insights by Cui, Peng, McMahon, David P, Spackman, Peter R, Alston, Ben M, Little, Marc A, Day, Graeme M, Cooper, Andrew I

“…Organic molecules tend to close pack to form dense structures when they are crystallised from organic solvents. Porous molecular crystals defy this rule: they…”
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From Concept to Crystals via Prediction: Multi‐Component Organic Cage Pots by Social Self‐Sorting by Greenaway, Rebecca L., Santolini, Valentina, Pulido, Angeles, Little, Marc A., Alston, Ben M., Briggs, Michael E., Day, Graeme M., Cooper, Andrew I., Jelfs, Kim E.

“…We describe the a priori computational prediction and realization of multi‐component cage pots, starting with molecular predictions based on candidate…”
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Accelerated robotic discovery of type II porous liquids† †Electronic supplementary information (ESI) available: Detailed synthetic procedures, experimental details and measurements (PDF). See DOI: 10.1039/c9sc03316e by Kearsey, Rachel J., Alston, Ben M., Briggs, Michael E., Greenaway, Rebecca L., Cooper, Andrew I.

“…High-throughput automation was used to streamline the synthesis, characterisation, and solubility testing, of new Type II porous liquids, accelerating their…”
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Mining predicted crystal structure landscapes with high throughput crystallisation: old molecules, new insights† †Electronic supplementary information (ESI) available: Computational methodology, crystallographic data, robot configuration, NMR, TGA, DSC, and gas sorption data. CCDC 1915299–1915315. For ESI and crystallographic data in CIF or other electronic format see DOI: 10.1039/c9sc02832c by Cui, Peng, McMahon, David P., Spackman, Peter R., Alston, Ben M., Little, Marc A., Day, Graeme M., Cooper, Andrew I.

“…New crystal forms of two well-studied organic molecules are identified in a computationally targeted way, by combining structure prediction with a robotic…”
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