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  1. Fully-matching results

  2. 21 Nov 2022: INTRODUCTIONEfficiency in the early stages of the drug discovery pipeline,from hit identification to lead optimization, is key to thedevelopment of new drugs. ... of all: to predict new chemical matter thatwould be active (rather than merely look at the
  3. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/221212Es0_bp432/
    12 Dec 2022: Recently, monolayer fullerene networks have been successfully synthesized, offering new material candidates for photocatalysis because of their large surface area with abundant active sites, feasibility to be combined with other 2D
  4. Intellegens_Apr22

    www.tcm.phy.cam.ac.uk/~tmw38/Whitehead22.pdf
    21 Nov 2022: The proposed formulations are currently undergoing experimental validation. Accelerating the Design of Automotive Catalyst Products Using Machine LearningLeveraging experimental data to guide new formulations. ... This cost function is the commercially
  5. E-20054TM_Cover_converted

    www.tcm.phy.cam.ac.uk/~gjc29/papers/StucknerWhiteheadPariniConduitBenafanArnold22.pdf
    20 Jul 2022: Introduction Machine learning and informatics have greatly accelerated. the developmental pace of new materials (Refs. ... Once a model is trained, the model can be used to make new predictions.
  6. sustainable handout.dvi

    www.tcm.phy.cam.ac.uk/~jsb56/resources/sustainablehandout.pdf
    24 Oct 2022: through. This is bad news as we can’t domuch to engineer our way past 1. ... Putthese estimates in the balance sheet. 14 Using our gadgets. We continuously here in the news that it is important to turn off our gadgets when weare not using them.
  7. 21 Nov 2022: Model performance is monitored continuously bypredicting the new data before each model update.
  8. Gareth Conduit's coverage

    www.tcm.phy.cam.ac.uk/~gjc29/coverage_2021.html
    21 Aug 2022: Intellegens develop machine learning algorithm for new 3D printing alloys, The Manufacturing Report. ... Materials revolution: R&D gains a new lease of life, Stainless Steel World.
  9. Alchemite™ machine learning

    www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysTalk2022.pdf
    3 Mar 2022: Confidential intellegens.ai. Validated a new alloy design for 30 composition/process parameters to satisfy 11 physical criteria. ... AM for heat exchangers. Project with GKN Aerospace. Proposed a new titanium alloy with.
  10. Batteries flyer

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_short_1.pdf
    15 Oct 2022: Our data driven approach useshistorical data to guide experiments and deliver new insights, leading to reducedtesting and prototype costs as well as standardising the design process.
  11. Alchemite_product

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Alchemite_1.pdf
    15 Oct 2022: Optimize formulationsGenerate new formula with multipletarget properties and understand theeffect that altering each subset ofingredients will have. ... For moreinformation, please visit intellegens.ai. About Intellegens. Click on the link below to

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