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  1. Fully-matching results

  2. 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
  3. Dr Thomas Whitehead's Home Page

    www.tcm.phy.cam.ac.uk/~tmw38/
    21 Nov 2022: Our proposal for a new superconducting state extends the concept of Cooper pairs to include groups of more than two electrons. ... Publications. Accelerating the Design of Automotive Catalyst Products Using Machine Learning : Leveraging experimental data
  4. 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.
  5. 21 Nov 2022: Model performance is monitored continuously bypredicting the new data before each model update.
  6. 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.
  7. Interactive blackboard

    www.tcm.phy.cam.ac.uk/blackboard/blackboard.html
    6 Apr 2022: Test this new technology by exploring the blackboard below, where several TCM members have left their favourite equations. ... John Biggins worked on a new example of such a geometric elastic instability, called elastic fingering.
  8. Intellegens for Plastics

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Plastics_1.pdf
    15 Oct 2022: Are you developing new polymeric materials? Or improvingperformance for existing plastics or elastomers? ... Orresearching new packaging options? You might be focusedon sustainability goals: incorporating recycled material, usingbiopolymers, or
  9. Machine learning forbattery applications Optimise battery…

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_2.pdf
    15 Oct 2022: Powering the electric vehicle revolution. Enabling renewableenergy sources. Cutting charge times for personal devices.These are urgent drivers to develop new batterytechnologies, and to do so faster. ... Its intuitive user interfacemakes machine learning
  10. 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.
  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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