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Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/DassaultTalk2017.pdf5 Sep 2021: Protein. Dru. g. stru. ctur. e. Predict activity of a new drug. -
Phase Transitions and CollectivePhenomena Anson Cheungachc2@cam.ac.uk …
www.tcm.phy.cam.ac.uk/~achc2/phase/preface.pdf25 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. -
Advanced Engineering Show
www.tcm.phy.cam.ac.uk/~gjc29/talks/AdvancedEngineeringShowTalk2019.pdf11 Sep 2021: intellegens.ai. Case study: additive manufacturing. intellegens.ai. Additive manufacturing requires new alloys. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/LouvainTalk2018.pdf7 Sep 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. ... Composition. Dis. orde. r. New material most likely to work. Composition. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/EPFLTalk2018.pdf7 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. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/EngineeringTalk2020.pdf11 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. -
National Academy Sciences public
www.tcm.phy.cam.ac.uk/~gjc29/talks/NationalAcademySciencesTalk2019.pdf11 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. -
Machine learning predicts mechanical properties of porous materials | …
www.tcm.phy.cam.ac.uk/~gjc29/coverage/Porous_Materials.pdf4 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 -
Ansys 2021 v1
www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysTalk2021.pdf17 Dec 2021: Confidential intellegens.ai. Validated a new alloy for 20+ composition/process parameters to satisfy 11 physical criteria. -
Computing History
www.tcm.phy.cam.ac.uk/about/history/computing.html26 Jan 2021: This new processor offered 64-bit operation, and clock speeds of over 100MHz. ... This new cluster completely replaced the original. Since then it has been upgraded incrementally. -
Advanced Engineering 2021 data slides
www.tcm.phy.cam.ac.uk/~gjc29/talks/AdvancedEngineeringShowTalk2021.pdf4 Nov 2021: Handle sparse,. noisy, complex data. Ready-to-use solution. Confidential intellegens.ai. Validated a new alloy for 20+ composition/process parameters to satisfy 11 physical criteria. -
Copy of Granta for Ansys Materials Day v4
www.tcm.phy.cam.ac.uk/~gjc29/talks/AnsysMaterialsDayTalk2021.pdf28 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 -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/CambridgePhenomenonProgramTalk2021.pdf7 Nov 2021: Machine learning as a black box. Train from historical data. Predict new chemicals. -
Machine learning making light work of AM aerospace alloys
www.tcm.phy.cam.ac.uk/~gjc29/coverage/Project_MEDAL.pdf15 Jan 2021: AM processing parameters for new metal alloys, making thedevelopment process more time and cost-efficient. ... While this new method is being developed with aerospace in mind, the teambelieves it will have applications for other sectors too. -
OSM_PressRelease_Published1
www.tcm.phy.cam.ac.uk/~gjc29/coverage/Open_Source_Malaria.pdf3 Apr 2021: researchers who design, synthesise and test new antimalarial candidates that they hope will. ... models to improve a promising series of antimalarials, suggests that new AI/ML. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/TCMCurrentResearchTalk2021.pdf10 Jan 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. -
Confidential intellegens.ai Webinar will begin shortly Solving the…
www.tcm.phy.cam.ac.uk/~gjc29/talks/SmallDataTalk2021.pdf14 Jul 2021: Confidential intellegens.ai. Open Source Malaria competition. Data-driven approach identified new candidate molecules. ... Validate new data. See also our data quality case study with Matmatch. -
DATA - DRIVEN DISCOVERY Deep learning for materials and ...
www.tcm.phy.cam.ac.uk/~gjc29/talks/AdditiveManufacturing2021.pdf23 Feb 2021: Qualification, particularly for metal AM target applications, has to consider new materials and processes. • ... Design your next experiment. Optimise a new alloy and processes to achieve multiple target properties. -
Slide 1
www.tcm.phy.cam.ac.uk/~gjc29/talks/TCMCurrentResearch_2Talk2021.pdf14 Jun 2021: Combustor in a jet engine. Direct laser deposition requires new alloys. -
Richard Needs: Publications
www.tcm.phy.cam.ac.uk/~rn11/publications.html30 Mar 2021: Jack Whaley-Baldwin and Richard Needs, New Journal of Physics 22, 023020 (2020). ... Chris J. Pickard and Richard J. Needs. Nature News and Views 511, 294 (2014).
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