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1 - 7 of 7 search results for Economics lesson |u:www.tcm.phy.cam.ac.uk where 2 match all words and 5 match some words.
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  2. Electronic structure discussion group

    www.tcm.phy.cam.ac.uk/events/esdg.html
    6 Apr 2022: talk made reference to the following reports: The economic impact of molecular modelling and Industry interactions of the electronic structure research community in Europe.). ... November 03Chris Pickard (UCL)Random search - lessons from model
  3. sustainable handout.dvi

    www.tcm.phy.cam.ac.uk/~jsb56/resources/sustainablehandout.pdf
    24 Oct 2022: This is where air-conditioningcomes in. In fact the economics of cooling are pretty similar to heating, hot countries mightbe 30-40C, so we again want 10-20C of temperature change. ... In fig. 17 you see a map ofthe UK with the only real economic
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  5. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/MetamaterialsGenomeTalk2022.pdf
    18 Jul 2022: Metamaterials genome: lessons from OPTIMADE. Gareth Conduit. Theory of Condensed Matter group.
  6. Publications: Physics

    www.tcm.phy.cam.ac.uk/~bds10/dir/publications_phys.html
    25 Aug 2022: Quantum chaos: lessons from disordered metals. A. Altland, C. R. Offer and B.
  7. 21 Nov 2022: Prediction of In Vivo Pharmacokinetic Parameters and TimeExposure Curves in Rats Using Machine Learning from the ChemicalStructureOlga Obrezanova, Anton Martinsson, Tom Whitehead, Samar Mahmoud, Andreas Bender,Filip Miljkovic,́ Piotr Grabowski, Ben
  8. Batteries flyer

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_long_1.pdf
    15 Oct 2022: Nature publication). Machine Learning for Battery Optimisation(white paper). BATTERIESThe future widespread adoption of electric vehicles will result in reduced harmful emissions andcleaner air, among other social and economic benefits.
  9. 1 Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure…

    www.tcm.phy.cam.ac.uk/~gjc29/papers/ObrezanovaGreene22.pdf
    15 Apr 2022: 1. Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure Curves in Rats Using Machine Learning from the Chemical Structure. Olga Obrezanova1, Anton Martinsson2, Tom Whitehead3, Samar Mahmood4, Andreas Bender1, Filip. Miljković2,

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