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28 Oct 2023: About. Research. People. Events. Join us. Impact. Hongrui Zhang. Hongrui Zhang. Member of Lucy Cavendish College. PhD student in Prof Artacho's group. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. TCM Group,

27 Oct 2023: About. Research. People. Events. Join us. Impact. Runfeng Lin. Runfeng Lin. Member of Sidney Sussex College. PhD student in Dr Ahnert's group. Office: 538 Mott Bld. Phone: 44(0)7562227104. Email: rl647@cam.ac.uk. TCM Group, Cavendish Laboratory.

3 Apr 2023: Project MEDAL. Commissioning anadditive manufacturing machine. is time consuming. Propose process parameters for the400W M2 from GE Additivewith the new additive-specific.

4 Jan 2023: e) From this result, show that for d < 4 the Gaussian fixed point becomes unsta-ble against a new fixed point (known as the O(n) fixed point).

30 Aug 2023: 30/08/2023, 13:27 £1.6m grant to advance manufacture of oligonucleotide therapeutics. https://intellegens.com/press-release-oligonucleotides-project/ 1/5. Intellegens and CPI awarded £1.6m Innovate UK grant to adtherapeutics with machine learning.

24 Oct 2023: v) What would be the surface area of a new capacitor of the same capacitance andthickness as the SiO2 capacitor above, but made from a ferroelectric material with adielectric constant one

12 May 2023: Intellegens to lead Consortium focused on 'Trustworthy AI'. Stephen Warde. ‘Trustworthy AI’ focus for new materials and chemicals project.

18 Oct 2023: About. Research. People. Events. Join us. Impact. Kamil Iwanowski. Kamil Iwanowski. Member of Christ's College. PhD student in Prof Payne's group. Office: 536 Mott Bld. Email: kmi21 @ cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson

16 Mar 2023: A new research partially conducted in TCM predicts unusual properties for light emitted by many-body systems that are subject to a strong drive. ... The paper is featured in Cambridge Research News and Nature Physics News & Views.

7 Oct 2023: About. Research. People. Events. Join us. Impact. Yufei Pei. Yufei Pei. Member of Girton College. PhD student in Prof Castelnovo's group. Office: 538 Mott Bld. Phone: 44(0)1223 3 37216. Email: yp309 @ cam.ac.uk. TCM Group, Cavendish Laboratory.

1 Nov 2023: The surface area Aferro associated with the new setup can be related to theoriginal surface area ASiO2 through:. ... Aferro =CL. εferro=. CL. 100εSiO2= 102ASiO3. Therefore, the new surface area is 102 5 104 = 5 106 m2.

5 Dec 2023: on the other hand, to conceive and enable new applications.

8 Aug 2023: About. Research. People. Events. Join us. Impact. Adrien Hallou. Dr Adrien Hallou. Herchel Smith Research Fellow. Fellow of Darwin College. Email: ah691 @ cam.ac.uk. Wellcome Trust / CRUK Gurdon Institute,. Tennis Court Road,. Cambridge. CB2 1QN.

4 May 2023: About. Research. People. Events. Join us. Impact. Luca Rüegg. Luca Rüegg. Member of Jesus College. PhD student in Dr Slager's group. Office: 526 Mott Bld. Email: lr537 @ cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,.

17 Jan 2023: Luca Rosalia, Adrien Hallou, Laurence Cochrane and Thierry Savin. Adrien Hallou and colleagues from the Department of Engineering and MIT propose a new device to measure with unprecidented accuracy the mechanical

3 May 2023: For example, motivated by Renormalization Group Theory, in which fluctuations determine the macroscopic state of the system, the methodology could predict heat capacity of new materials.

5 Oct 2023: Schiro, Spectral Functions and Negative Density of States of a Driven-Dissipative Nonlinear Quantum Resonator, New J.

31 Mar 2023: New hits for projects targeting existing biological targetsof interest and high-quality compounds, overlooked duringoptimization projects, could be identified. ... The resultingmodels can then be applied to new compounds that have notyet been

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.

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