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41 - 50 of 63 search results for news |u:www.tcm.phy.cam.ac.uk

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  2. Unveil the unseen: Exploit information hidden in noise

    www.tcm.phy.cam.ac.uk/~gjc29/papers/ZviazhynskiConduit22.pdf
    23 May 2023: However, discovering new phenomena is not the onlychallenge: utilizing the freshly obtained knowledge for real-world applications is crucial. ... 2.1 Machine learning. Machine learning algorithms are trained on existing datato make predictions of target

  3. Template for Electronic Submission to ACS Journals

    www.tcm.phy.cam.ac.uk/~gjc29/papers/WhiteheadStricklandConduitBorrelMucsBaskerville-Abraham23.pdf
    28 Nov 2023: extrapolating new data for regression problems (continuous variables), however for the sake of. ... this new family of models. When evaluating imputation modeling against the five principles.

  4. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/230420FXj_bz267/
    20 Apr 2023: About. Research. People. Events. Join us. Impact. Research Highlights. Probabilistic selection and design of concrete using machine learning. We develop a computer program that looks for patterns in physical properties of concrete. We apply the

  5. Biological and Soft Matter

    www.tcm.phy.cam.ac.uk/research/bio_soft.html
    29 Oct 2023: Biology, which will lead to new conceptual insights into the molecular regulation of basic biological processes. ... etc.) can lead to the emergence of new 'collective phenomena', defined by few composite variables and macroscopic length scales.

  6. Gunnar Lange

    www.tcm.phy.cam.ac.uk/profiles/gfl25/
    4 Jul 2023: About. Research. People. Events. Join us. Impact. Gunnar Lange. Gunnar Lange. Member of Churchill College. PhD student in Dr Monserrat's group. Office: 540 Mott Bld. Email: gfl25 @ cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,

  7. Phase Transitions and Collective Phenomena

    www.tcm.phy.cam.ac.uk/~achc2/phase/notes.pdf
    4 Jan 2023: 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.

  8. DCE_2300005 1..18

    www.tcm.phy.cam.ac.uk/~gjc29/papers/ForsdykeZviazhynskiLeesConduit23.pdf
    20 Apr 2023: When bootstrapping a dataset with N entries, new subsets are generated by sampling N entriesrandomly, with replacement.

  9. A game theory-inspired algorithm for automating the design of ...

    www.tcm.phy.cam.ac.uk/~gjc29/papers/WangCoxKuehsamyJhonSudreSridharConduit23.pdf
    19 Oct 2023: A game theory-inspired algorithm for automating the design of non-periodic integral 3D woven. composite preforms without scale limitations using a manufacturing-based parameterization. Zhen-Pei Wanga, Brian N. Coxb, Shemuel Joash S/O Kuehsamya,

  10. Research Highlights

    www.tcm.phy.cam.ac.uk/highlights/230116HHz_pm728/
    16 Jan 2023: About. Research. People. Events. Join us. Impact. Research Highlights. How do Pauli crystals melt? The evolution of a Pauli crystal (star-like structure in panels a) as a function of time in a shaken optical trap. In a perfect harmonic trap, shown

  11. Artificial Intelligence (AI) Futures: India-UK Collaborations…

    www.tcm.phy.cam.ac.uk/~gjc29/papers/DwivediHughesBhadeshiaAnaniadouCohnColeConduitDesarkarWang23.pdf
    17 Oct 2023: It has the potential to transform industry as well as nurture new human-machine interactions and practice at a global level (Dwivedi et al., 2021a). ... This presentation was built upon the following premise. Large-scale data-mining workflows are

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