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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 -
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. -
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 -
Interactive blackboard
www.tcm.phy.cam.ac.uk/blackboard/blackboard.html6 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. -
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 -
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. -
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 -
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.
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