Christopher Xiang Ren

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25 articoli

3 articoli

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Paul A. JohnsonLos Alamos National LaboratoryEmail verificata su lanl.gov
Bertrand Rouet-LeducAssistant Professor, Kyoto University - Co-founder, GeolabeEmail verificata su kyoto-u.ac.jp
Claudia HulbertGeolabeEmail verificata su geolabe.com
Rachel OliverProfessor of Materials Science, Cambridge UniversityEmail verificata su cam.ac.uk
Chris MaroneProfessor of Geophysics, La Sapienza Università di Roma and Penn State UniversityEmail verificata su psu.edu
Robert GuyerUniversity of Nevada, Reno; Los Alamos National LaboratoryEmail verificata su physics.umass.edu
Tongtong ZhuUniversity of CambridgeEmail verificata su cam.ac.uk
James TheilerTechnical Staff Member, Los Alamos National LaboratoryEmail verificata su lanl.gov
Amanda ZiemannScientist, Los Alamos National LaboratoryEmail verificata su lanl.gov
James Thomas GriffithsResearch associate, University of CambridgeEmail verificata su cam.ac.uk
Colin HumphreysQueen Mary University of LondonEmail verificata su qmul.ac.uk
David A RitchieUniversity of Cambridge and Swansea UniversityEmail verificata su cam.ac.uk
Stephan HofmannProfessor of Nanotechnology, University of Cambridge, UKEmail verificata su cam.ac.uk
Axel ZeitlerProfessor of Microstructure Engineering, University of CambridgeEmail verificata su cam.ac.uk
Riccardo Degl'InnocentiQueen Mary University of LondonEmail verificata su qmul.ac.uk
Long XiaoUniversity of Cambridge, Engineering Department, Cavendish LaboratoryEmail verificata su cam.ac.uk
Harvey BeereSenior Research Associate, Semiconductor Group, University of CambridgeEmail verificata su cam.ac.uk
Hungyen LinLancaster UniversityEmail verificata su lancaster.ac.uk
Philipp Braeuninger-WeimerIntellectual VenturesEmail verificata su intven.com
Stephen KindnessUniversity of CambridgeEmail verificata su cam.ac.uk

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Christopher Xiang Ren

Demeter Labs

Email verificata su lanl.gov - Home page

Remote Sensing Change Detection Machine Learning Geophysics Deep Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Similarity of fast and slow earthquakes illuminated by machine learning C Hulbert, B Rouet-Leduc, PA Johnson, CX Ren, J Rivière, DC Bolton, ... Nature Geoscience 12 (1), 69-74, 2019	164	2019
Graphene based plasmonic terahertz amplitude modulator operating above 100 MHz DS Jessop, SJ Kindness, L Xiao, P Braeuninger-Weimer, H Lin, Y Ren, ... Applied Physics Letters 108 (17), 171101, 2016	100	2016
Estimating fault friction from seismic signals in the laboratory B Rouet‐Leduc, C Hulbert, DC Bolton, CX Ren, J Riviere, C Marone, ... Geophysical Research Letters 45 (3), 1321-1329, 2018	95	2018
Wafer-scale fabrication of non-polar mesoporous GaN distributed Bragg reflectors via electrochemical porosification T Zhu, Y Liu, T Ding, WY Fu, J Jarman, CX Ren, RV Kumar, RA Oliver Scientific reports 7 (1), 1-8, 2017	73	2017
Polarisation fields in III-nitrides: effects and control CX Ren Materials Science and Technology, 2015	68	2015
Carrier localization in the vicinity of dislocations in InGaN FCP Massabuau, P Chen, MK Horton, SL Rhode, CX Ren, TJ O'Hanlon, ... Journal of Applied Physics 121 (1), 013104, 2017	58	2017
Machine learning reveals the seismic signature of eruptive behavior at piton de la fournaise volcano CX Ren, A Peltier, V Ferrazzini, B Rouet‐Leduc, PA Johnson, F Brenguier Geophysical Research Letters 47 (3), e2019GL085523, 2020	56	2020
From Stress Chains to Acoustic Emission K Gao, R Guyer, E Rougier, CX Ren, PA Johnson Physical review letters 123 (4), 048003, 2019	46	2019
Ultrafast, polarized, single-photon emission from m-plane InGaN Quantum Dots on GaN nanowires TJ Puchtler, T Wang, CX Ren, F Tang, RA Oliver, RA Taylor, T Zhu Nano letters 16 (12), 7779-7785, 2016	44	2016
Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault CX Ren, O Dorostkar, B Rouet‐Leduc, C Hulbert, D Strebel, RA Guyer, ... Geophysical Research Letters, 2019	43	2019
Vertical leakage mechanism in GaN on Si high electron mobility transistor buffer layers FS Choi, JT Griffiths, C Ren, KB Lee, ZH Zaidi, PA Houston, I Guiney, ... Journal of Applied Physics 124 (5), 055702, 2018	35	2018
Machine learning and fault rupture: a review CX Ren, C Hulbert, PA Johnson, B Rouet-Leduc Advances in Geophysics 61, 57-107, 2020	34	2020
Structural impact on the nanoscale optical properties of InGaN core-shell nanorods JT Griffiths, CX Ren, PM Coulon, ED Le Boulbar, CG Bryce, I Girgel, ... Applied Physics Letters 110 (17), 172105, 2017	27	2017
Multi-sensor anomalous change detection at scale A Ziemann, CX Ren, J Theiler Algorithms, Technologies, and Applications for Multispectral and …, 2019	21	2019
Electrophysiological models for the heterogeneous canine atria: Computational platform for studying rapid atrial arrhythmias OV Aslanidi, TD Butters, CX Ren, G Ryecroft, H Zhang Engineering in Medicine and Biology Society, EMBC, 2011 Annual International …, 2011	20	2011
Analysis of defect-related inhomogeneous electroluminescence in InGaN/GaN QW LEDs CX Ren, B Rouet-Leduc, JT Griffiths, E Bohacek, MJ Wallace, ... Superlattices and Microstructures 99, 118-124, 2016	15	2016
Deep snow: synthesizing remote sensing imagery with generative adversarial nets CX Ren, A Ziemann, J Theiler, AMS Durieux Algorithms, Technologies, and Applications for Multispectral and …, 2020	13	2020
Nanoscopic insights into the effect of silicon on core-shell InGaN/GaN nanorods: Luminescence, composition, and structure CX Ren, F Tang, RA Oliver, T Zhu Journal of Applied Physics 123 (4), 045103, 2018	12	2018
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery CX Ren, A Ziemann, J Theiler, AMS Durieux 2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2020	9	2020
Deepfaking it: experiments in generative, adversarial multispectral remote sensing CX Ren, A Ziemann, J Theiler, J Moore Algorithms, Technologies, and Applications for Multispectral and …, 2021	6	2021

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