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Dr Monserrat
www.tcm.phy.cam.ac.uk/profiles/bm418/10 May 2022: We work on the development of new methods to understand the effects of atomic vibrations, quantum and thermal, in solids. ... In particular, I am investigating new ways in which we can describe temperature from an atomic point of view. -
Research Highlights
www.tcm.phy.cam.ac.uk/highlights/220519G07_arb83/23 May 2022: About. Research. People. Events. Join us. Impact. Research Highlights. New routes to increase solar panel efficiency. ... Our work, which was published in Chemistry of Materials, suggests new routes to realise this interface and increase solar cell -
TCM Group Contact Information
www.tcm.phy.cam.ac.uk/about/contact.html1 Oct 2022: About. Research. People. Events. Join us. Impact. Contact information. Administrative/general enquiries. Group Administrator,. TCM Group,. Cavendish Laboratory,. 19 J J Thomson Avenue,. Cambridge, CB3 0HE, UK. Tel: 44 (0)1223 746651. -
Dr Espinosa
www.tcm.phy.cam.ac.uk/profiles/jr752/20 Jan 2022: Nucleation, and more in concrete ice nucleation, has been one of the topics in which I have also been working with the aim of developing new techniques to characterise it from -
Andrea Pizzi
www.tcm.phy.cam.ac.uk/profiles/ap2076/8 Dec 2022: About. Research. People. Events. Join us. Impact. Andrea Pizzi. Andrea Pizzi. Member of Trinity College. Visitor. Email: ap2076@cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. TCM Group, -
Dr Bouhon
www.tcm.phy.cam.ac.uk/profiles/ab2859/16 Jun 2022: About. Research. People. Events. Join us. Impact. Adrien Bouhon. Dr Adrien Bouhon. Marie Curie Fellow. Postdoc in Dr Slager's group. Office: 504 Mott Bld. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. Research. -
Arthur Morris
www.tcm.phy.cam.ac.uk/profiles/asm99/7 Nov 2022: About. Research. People. Events. Join us. Impact. Arthur Morris. Arthur Morris. Member of King's College. PhD student in Dr Slager's group. Office: 535 Mott Bld. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. -
Alex Gower
www.tcm.phy.cam.ac.uk/profiles/apg59/27 Oct 2022: About. Research. People. Events. Join us. Impact. Alex Gower. Alex Gower. PhD student in Prof Castelnovo's group. Office: 510 Mott Bld. Email: apg59@cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. -
Elis Roberts
www.tcm.phy.cam.ac.uk/profiles/eir22/6 Dec 2022: About. Research. People. Events. Join us. Impact. Elis Roberts. Elis Roberts. Member of Emmanuel College. PhD student in Prof Béri's group. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. Featured Publications. -
Dr Dutta
www.tcm.phy.cam.ac.uk/profiles/sd843/28 Dec 2022: TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. Research. My research is focused on predicting new phenomena in interacting quantum gases by theoretical modeling and numerical simulation. ... For example, below are news -
Research Highlights
www.tcm.phy.cam.ac.uk/highlights/220120G4A_sd843/8 Jun 2022: Also see Physics World and Nature Physics News & Views. -
Tobias Schaich
www.tcm.phy.cam.ac.uk/profiles/tcs49/9 May 2022: About. Research. People. Events. Join us. Impact. Tobias Schaich. Tobias Schaich. Member of Pembroke College. PhD student in Prof Payne's group. Office: 511 Mott Bld. Phone: 44(0)1223 3 37261. TCM Group, Cavendish Laboratory. 19 JJ Thomson -
Patrick Taylor
www.tcm.phy.cam.ac.uk/profiles/pt409/4 May 2022: However, the development of new superalloys by tradtional methods is a lengthy and experimentally intensive process. ... To this end, I have developed a new Gaussian Process Regression model of phase microchemistry. -
Gareth Conduit's coverage
www.tcm.phy.cam.ac.uk/~gjc29/coverage_2019.html21 Aug 2022: Intellegens develop machine learning algorithm for new 3D printing alloys, 3D printing industry. ... Intellegens develop machine learning algorithm for new 3D printing alloys, 3D PRINTING PRO. -
Dr Milowska
www.tcm.phy.cam.ac.uk/profiles/kzm21/25 Nov 2022: About. Research. People. Events. Join us. Impact. Karolina Milowska. Dr Karolina Milowska. Ikerbasque Research Fellow at CIC nanoGUNE. Visitor in Prof Payne's group. Email: kzm21 @ cantab.ac.uk, kz.milowska @ nanogune.eu. TCM Group, -
Alya Alqaydi
www.tcm.phy.cam.ac.uk/profiles/arsbta2/27 Apr 2022: About. Research. People. Events. Join us. Impact. Alya Alqaydi. Alya Alqaydi. Member of Lucy Cavendish College. PhD student in Dr Monserrat's group. Email: arsbta2@cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/ScholarshipConferenceTalk2022.pdf19 Mar 2022: Molecule. Response. Train the machine learning. Molecule. Response. Predict behavior of new drug. -
1/21/22, 9:31 AM Digital Catapult selects four cleantech companies ...
www.tcm.phy.cam.ac.uk/~gjc29/coverage/DigitalCatapult.pdf21 Jan 2022: Industrial Net Zero cohort for FutureScope (https://www.digicatapult.org.uk/news-and-insights/press-releases/post/futurescope-startup-scaleup-support-programme/),the new home for startup and scaleup acceleration. ... digicatapult.org.uk/news-and-insights/ -
Dr Štrkalj
www.tcm.phy.cam.ac.uk/profiles/as3157/13 Apr 2022: About. Research. People. Events. Join us. Impact. Antonio Štrkalj. Dr Antonio Štrkalj. Swiss Nat. Sci. Foundation Fellow. Postdoc in Prof Castelnovo's group. Office: 544 Mott Bld. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. -
Research Highlights
www.tcm.phy.cam.ac.uk/highlights/221216EB5_ejn41/16 Dec 2022: We have uncovered a new type of fractal, appearing in a class of materials called spin ices. ... It will be interesting to see what other properties of these materials may be predicted or explained in light of the new understanding provided by our work. -
Dr Verpoort
www.tcm.phy.cam.ac.uk/profiles/pcv22/11 Apr 2022: From 2016 till 2018, I was involved in work with Dr G Conduit's in applying machine-learning techniques to large materials databases and used these to make predictions for new -
Dr Chern
www.tcm.phy.cam.ac.uk/profiles/lec79/18 Nov 2022: About. Research. People. Events. Join us. Impact. Li Ern Chern. Dr Li Ern Chern. Postdoc in Prof Castelnovo's group. Office: 512 Mott Bld. TCM Group, Cavendish Laboratory. 19 JJ Thomson Avenue,. Cambridge, CB3 0HE UK. Research. I am generally -
Dr Biggins
www.tcm.phy.cam.ac.uk/profiles/jsb56/24 Oct 2022: My group is particularly interested in liquid crystal elastomers, a remarkable new phase of matter that combines the mobile orientational order of liquid crystals with the extreme stretchiness of rubber. -
Gareth Conduit's coverage
www.tcm.phy.cam.ac.uk/~gjc29/coverage_2020.html21 Aug 2022: Innovate UK Funded Project Produces Next-Generation AI Drug Discovery Platform, News Break. ... Additive Manufacturing market to shrink, then rise to Over USD 10Bn, sea news. -
Alaric Sanders
www.tcm.phy.cam.ac.uk/profiles/als217/1 Nov 2022: About. Research. People. Events. Join us. Impact. Alaric Sanders. Alaric Sanders. Member of Christ's College. PhD student in Prof Lamacraft's group. Office: 511 Mott Bld. Email: als217 @ cam.ac.uk. TCM Group, Cavendish Laboratory. 19 JJ Thomson -
Electronic structure discussion group
www.tcm.phy.cam.ac.uk/events/esdg.html6 Apr 2022: December 04Letif Mones (Eng)A new extension of QM/MM methods: the adaptive buffered-force QM/MM method. ... February 01Basil Hiley (Birkbeck College)Weak Measurements: Wigner-Moyal and Bohm in a New Light? -
pdadd
www.tcm.phy.cam.ac.uk/~rjs269/pdaddtwo.pdf12 Oct 2022: Cambridge. The aim of the role is to explore new topological phases of matter, broadly defined. ... The candidate will be funded from an ERC-UKRI grant that aims to further develop these new phases of matter. -
NATURAL SCIENCES TRIPOS Part II 25th January 2022 10.30 ...
www.tcm.phy.cam.ac.uk/~cc726/TP1/ExamFiles/exam22sol.pdf28 Jun 2022: 1 2 cosh [β (4JS B)]. ——————. (d) [Bookwork but new algebra] Consider the case B = 0. ... a) [Part bookwork, part new] Find the field transformations of the form(φ1φ2. )( -
Intellegens_Apr22
www.tcm.phy.cam.ac.uk/~gjc29/papers/WhiteheadChenDalyConduit22.pdf4 Feb 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 -
Additive Manufacturing Flier
www.tcm.phy.cam.ac.uk/~gjc29/flyers/AM_1.pdf15 Oct 2022: Focused on laser powder bed fusion, the projectdramatically reduced the amount of experimentation required to develop a successful manufacturingprocess for high density, high strength parts from a new feedstock material. ... Designing new alloys at -
Intellegens for Plastics
www.tcm.phy.cam.ac.uk/~gjc29/flyers/Plastics_1.pdf15 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 -
Machine learning forbattery applications Optimise battery…
www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_2.pdf15 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 -
Research Highlights
www.tcm.phy.cam.ac.uk/highlights/220120CMK_rjs269/20 Jan 2022: Recent study provides evidence for new multi-gap topologies in phonon spectra of layered silicates. -
Imputation of Sensory Properties Using DeepLearningMatthew Segall ( …
www.tcm.phy.cam.ac.uk/~tmw38/Mahmoud21.pdf21 Nov 2022: complementary ways. When designing or selecting new molecules for use, being able to predict the intensity. ... compound descriptors and sparse experimental data for new compounds with which to impute missing values. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/GottliebDuttweilerInstituteTalk2022.pdf3 Jul 2022: Gareth Conduit. New Products in Less Time:Fast Experimentation Through Machine Learning. ... Train the machine learning. -
NATURAL SCIENCES TRIPOS Part II 25th January 2022 10.30 ...
www.tcm.phy.cam.ac.uk/~cc726/TP1/ExamFiles/exam22.pdf28 Jun 2022: a) [Part bookwork, part new] Find the field transformations of the form(φ1φ2. )( ... 4]. (b) [Part bookwork, part new] Recall that Noether’s theorem applies only totransformations that are continuously connected to the identity. -
jsbhandout.dvi
www.tcm.phy.cam.ac.uk/~jsb56/resources/specialrelativityhandout.pdf24 Oct 2022: f =c. T0(v c)= f0. 1. 1 v/c. (23). If the source had been moving towards the observer then the new frequency observed at the origin. ... event is viewed in a different framethe new time coordinate will depend on the old space coordinate and vice versa. -
Spec sheet
www.tcm.phy.cam.ac.uk/~gjc29/flyers/Alchemite_Analytics_Spec_Sheet_1.pdf15 Oct 2022: Prediction - enable virtual experiments. Optimisation - find new solutions. intellegens.com | info@intellegens.com. ... We call this ‘AdaptiveDoE’ because, used iteratively as new data isadded, it continually improves its guidance. -
energy momentum handout.dvi
www.tcm.phy.cam.ac.uk/~jsb56/resources/energymomentumhandout.pdf24 Oct 2022: This course will be accompanied by material from Cambridge University’s new schoolphysics website isaacphysics.org. ... Exercise 22. Imagine cutting the rope in the middle. How hard would you have to pull onthe new end of the rope to keep everything in -
1 NATURAL SCIENCES TRIPOS Part II Wednesday 16 January ...
www.tcm.phy.cam.ac.uk/~cc726/TP1/ExamFiles/exam19sol.pdf24 Jan 2022: 4]. ——————[extension of known ideas to new setting] At T Tc, the m = 0. ... The free energy atm = 0 is f(0) = 0, so the new minimum also has f(m) = 0. -
An Open Drug Discovery Competition: Experimental Validation of…
www.tcm.phy.cam.ac.uk/~tmw38/Tse21.pdf21 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 -
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 -
Intellegens_Apr22
www.tcm.phy.cam.ac.uk/~tmw38/Whitehead22.pdf21 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 -
E-20054TM_Cover_converted
www.tcm.phy.cam.ac.uk/~gjc29/papers/StucknerWhiteheadPariniConduitBenafanArnold22.pdf20 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. -
sustainable handout.dvi
www.tcm.phy.cam.ac.uk/~jsb56/resources/sustainablehandout.pdf24 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. -
Prediction of In Vivo Pharmacokinetic Parameters and Time–Exposure…
www.tcm.phy.cam.ac.uk/~tmw38/Obrezanova22.pdf21 Nov 2022: Model performance is monitored continuously bypredicting the new data before each model update. -
Gareth Conduit's coverage
www.tcm.phy.cam.ac.uk/~gjc29/coverage_2021.html21 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. -
Alchemite™ machine learning
www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysTalk2022.pdf3 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. -
Batteries flyer
www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_short_1.pdf15 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. -
Alchemite_product
www.tcm.phy.cam.ac.uk/~gjc29/flyers/Alchemite_1.pdf15 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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