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  2. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/DPG_materialsTalk2017.pdf
    5 Sep 2021: Merge experiments and simulations into holistic design tool. Proposed four new alloys, experimentally verified.
  3. ATIBoeing_Intellegens_PR

    www.tcm.phy.cam.ac.uk/~gjc29/coverage/ATI_Boeing.pdf
    3 Apr 2021: we believe the 10 selected startups are bringing new ideas and technologies into our industry. ... We are excited about working with new entrepreneurs with a great level of energy and different ways of approaching innovation.”.
  4. 25 Jan 2021: However,strong interactions frequently induce transitions and lead to new equilibrium phases ofmatter. ... 4] R. P. Feynman, Statistical Mechanics, Benjamin, New York, (1972). Anotherclassic text by Feynman which covers the basic concepts.
  5. Deep Learning Tool Enables the Identification of Alkanes For ...

    www.tcm.phy.cam.ac.uk/~gjc29/coverage/Lubricants.pdf
    3 Apr 2021: new lubricants.
  6. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/2102259Aq_ap2076/
    18 Oct 2021: About. Research. People. Events. Join us. Impact. Research Highlights. Time crystals in long-range classical noisy systems. A team of current and former TCM researchers showed how long-range interactions can be leveraged to realize a classical
  7. Dr Engel

    www.tcm.phy.cam.ac.uk/profiles/eae32/
    3 Mar 2021: In Plain English. Designing new functional materials on a computer and then realising them in a laboratory is a grand challenge -- for no class of materials more so than those composed
  8. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/210814JQn_pcv22/
    14 Aug 2021: About. Research. People. Events. Join us. Impact. Research Highlights. Why is the training of artificial neural networks so effective? Our research reveals interesting characteristics of common learning techniques employed for training deep
  9. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/EPFLTalk2018.pdf
    7 Sep 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. ... Inf. Model. 57, 2077 (2017). Impute missing entries to validate. Validate using a realistically split holdout data set, extrapolate to new chemical space.
  10. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/2104151o2_nw361/
    15 Apr 2021: About. Research. People. Events. Join us. Impact. Research Highlights. The exact exchange-correlation kernel. Calculations of the exact exchange-correlation kernel within linear response time-dependent density functional theory (TDDFT) elucidates
  11. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/LouvainTalk2018.pdf
    7 Sep 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. ... Composition. Dis. orde. r. New material most likely to work. Composition.
  12. IntellegensTraining deep neural networks on fragmented data A new ...

    www.tcm.phy.cam.ac.uk/~gjc29/talks/LondonTalk2017.pdf
    5 Sep 2021: IntellegensTraining deep neural networks on fragmented data. A new deep neural network technology thatReduces product development costs. ... Gives 400x the potential to discover new drugs. Second phase of project underway, active discussions on future
  13. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/BakerHughesTalk2021.pdf
    7 Nov 2021: Combustor in a jet engine. Direct laser deposition requires new alloys.
  14. BreakfastBriefing_Materials_deck

    www.tcm.phy.cam.ac.uk/~gjc29/talks/BreakfastBriefingTalk2020.pdf
    12 Sep 2021: Solution. Applied novel neural network to combine sparse experimental data with computational thermodynamic predictions to design a new alloy. ... Disadvantages Chromium is toxic, environmentally unfriendly, and expensive. Challenge Design a new steel
  15. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/EngineeringTalk2020.pdf
    11 Sep 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. ... Inf. Model. 57, 2077 (2017). Impute missing entries to validate. Validate using a realistically split holdout data set, extrapolate to new chemical space.
  16. Slide 1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/DassaultTalk2017.pdf
    5 Sep 2021: Protein. Dru. g. stru. ctur. e. Predict activity of a new drug.
  17. Machine learning predicts mechanical properties of porous materials | …

    www.tcm.phy.cam.ac.uk/~gjc29/coverage/Porous_Materials.pdf
    4 Apr 2021: research/news/magnetic-graphene-forms-a-new-kind-of-magnetism). (/research/news/cambridge-launches-regulatory-genome-project). 0 Comments University of Cambridge Research Disqus' Privacy Policy Login1. ... Email. I wish to receive a weekly Cambridge
  18. Ansys 2021 v1

    www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysTalk2021.pdf
    17 Dec 2021: Confidential intellegens.ai. Validated a new alloy for 20+ composition/process parameters to satisfy 11 physical criteria.
  19. National Academy Sciences public

    www.tcm.phy.cam.ac.uk/~gjc29/talks/NationalAcademySciencesTalk2019.pdf
    11 Sep 2021: intellegens.ai. Combustor in a jet engine. intellegens.ai. Direct laser deposition requires new alloys. ... Load data1. Training2. Design3. intellegens.ai. Design and interrogate new materials. intellegens.ai.
  20. Copy of Advanced Materials Show

    www.tcm.phy.cam.ac.uk/~gjc29/talks/AdvancedMaterialsShowTalk2019.pdf
    11 Sep 2021: Training2. Predict & design3. intellegens.ai. Design, analyse, and share new materials.
  21. Copy of Granta for Ansys Materials Day v4

    www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysMaterialsDayTalk2021.pdf
    28 Sep 2021: Minimize business risk by ensuring reliable and repeatable processes. Reduce expense and time to take a new part to market. ... Drug discoveryPredict pharmacokinetics to improve compound selection. Hardfacing materialsDesign new surface treatments to

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