| Nome |
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Development of high-speed directly-modulated DFB and DBR lasers with surface gratings., file e384c42e-0d3f-d4b2-e053-9f05fe0a1d67
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1655
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Time-domain Travelling-wave Model for Quantum Dot Passive Mode-locked Lasers, file e384c42e-0e81-d4b2-e053-9f05fe0a1d67
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758
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Analysis of self-pulsating three-section DBR lasers, file e384c42d-ed9b-d4b2-e053-9f05fe0a1d67
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614
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Enhanced Modulation bandwidth in Complex Cavity Injection Grating Lasers, file e384c42e-0dbe-d4b2-e053-9f05fe0a1d67
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498
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Cavity optimization of 1.3um InAs/InGaAs quantum dot passively mode-locked lasers, file e384c42e-2459-d4b2-e053-9f05fe0a1d67
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460
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Mode locking and bandwidth enhancement in single section ridge laser with two spatial modes, file e384c42e-0ca4-d4b2-e053-9f05fe0a1d67
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405
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Passively mode-locked monolithic two-section gainguided tapered quantum-dot lasers: I. Ultrashort and stable pulse generation, file e384c42e-22e3-d4b2-e053-9f05fe0a1d67
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396
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Passively mode-locked monolithic two-section gain-guided tapered quantum-dot lasers: II. Record 15 Watt peak power generation, file e384c42e-1da4-d4b2-e053-9f05fe0a1d67
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356
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Design and simulation of DBR lasers with extended modulation bandwidth exploiting photon-photon resonance effect, file e384c42e-22de-d4b2-e053-9f05fe0a1d67
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348
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Enhanced Modulation Bandwidth in CCIG lasers, file e384c42e-2359-d4b2-e053-9f05fe0a1d67
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346
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Photon-photon resonance enhanced modulation bandwidth in CCIG lasers, file e384c42e-0485-d4b2-e053-9f05fe0a1d67
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275
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Trench width dependant deeply etched surface-defined InP gratings for low-cost high speed DFB/DBR, file e384c42e-22e0-d4b2-e053-9f05fe0a1d67
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272
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Modelling of passive mode-locking in Quantum Dot Lasers: a comparison between a Finite – Difference Travelling Wave model and a Delayed Differential Equation approach, file e384c42e-235d-d4b2-e053-9f05fe0a1d67
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246
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A Fast Time Domain Travelling Wave method for simulation of Quantum Dot Lasers and Amplifiers, file e384c42e-2a5d-d4b2-e053-9f05fe0a1d67
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221
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Design and Analysis of Enhanced Modulation Response in Integrated Coupled Cavities DBR Lasers Using Photon-Photon Resonance, file e384c42f-08de-d4b2-e053-9f05fe0a1d67
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215
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Modeling passive mode-locking in InAs quantum dot lasers with tapered gain sections, file e384c42e-22e2-d4b2-e053-9f05fe0a1d67
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181
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A Statistical Assessment of Opto-Electronic Links, file e384c42e-2461-d4b2-e053-9f05fe0a1d67
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172
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Assessing the impact of design options for an optical switch in network routing impairments, file e384c431-3e16-d4b2-e053-9f05fe0a1d67
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62
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FDTW Approach for Simulation of QD lasers and SOAs, file e384c42e-2a5e-d4b2-e053-9f05fe0a1d67
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56
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Quantum Dot Passively Mode-Locked Laser Optimization for High-Power and Short Pulses, file e384c42e-2457-d4b2-e053-9f05fe0a1d67
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51
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Automatic design of NxN integrated Benes optical switch, file e384c432-f807-d4b2-e053-9f05fe0a1d67
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46
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A Fast Time Domain Travelling Wave simulator for Quantum Dot Lasers and Amplifiers, file e384c42e-2a5c-d4b2-e053-9f05fe0a1d67
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41
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A simple coupled-bloch-mode approach to study active photonic crystal waveguides and lasers, file e384c430-dca3-d4b2-e053-9f05fe0a1d67
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39
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Threshold behaviour of optical frequency comb self-generation in an InAs/InGaAs quantum dot laser, file e384c431-4735-d4b2-e053-9f05fe0a1d67
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38
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Machine learning assisted abstraction of photonic integrated circuits in fully disaggregated transparent optical networks, file e384c432-da04-d4b2-e053-9f05fe0a1d67
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38
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Self-generation of optical frequency comb in single section quantum dot Fabry-Perot lasers: a theoretical study, file e384c42f-ec6b-d4b2-e053-9f05fe0a1d67
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37
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Analysis of Mode Locking in Quantum Dot Laser Diodes: a Time-Domain Travelling-Wave Approach, file e384c431-5901-d4b2-e053-9f05fe0a1d67
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36
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Abstracting network elements from mask layout to network management: a case study, file e384c433-d0f6-d4b2-e053-9f05fe0a1d67
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34
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Effectiveness of Machine Learning in Assessing QoT Impairments of Photonics Integrated Circuits to Reduce System Margin, file e384c432-c051-d4b2-e053-9f05fe0a1d67
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33
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Abstracting network elements from mask layout to network management: a case study, file e384c433-e85a-d4b2-e053-9f05fe0a1d67
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30
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Optimal control of Beneš optical networks assisted by machine learning, file e384c434-a623-d4b2-e053-9f05fe0a1d67
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30
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Coupled bloch-wave analysis of active PhC waveguides and cavities, file e384c430-e2af-d4b2-e053-9f05fe0a1d67
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27
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Wide and tunable spectral asymmetry between narrow and wide facet outputs in a tapered quantum-dot superluminescent diode, file e384c431-c006-d4b2-e053-9f05fe0a1d67
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25
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Geometry optimization of unidirectional integrated ring laser, file e384c432-a311-d4b2-e053-9f05fe0a1d67
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24
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Automatic design of NxN integrated Benes optical switch, file e384c433-19e2-d4b2-e053-9f05fe0a1d67
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23
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S-shaped waveguide-induced asymmetry between counter-propagating modes in a racetrack resonator, file e384c432-a312-d4b2-e053-9f05fe0a1d67
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22
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A Neural Network-Based Automatized Management of N ×N Integrated Optical Switches, file e384c434-585e-d4b2-e053-9f05fe0a1d67
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19
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Softwarized and Autonomous Management of Photonic Switching Systems Using Machine Learning, file e384c433-fc69-d4b2-e053-9f05fe0a1d67
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17
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A Python Tool to Control and Virtualize Laser Diodes Characterization Benches, file e384c434-6b48-d4b2-e053-9f05fe0a1d67
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17
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Machine Learning Driven Model for Software Management of Photonics Switching Systems, file e384c434-9368-d4b2-e053-9f05fe0a1d67
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14
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Machine Learning-based Model for Defining Circuit-level Parameters of VCSEL, file e33d7d9f-4d20-43fd-8037-8025d0b59181
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13
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Effectiveness of Machine Learning in Assessing QoT Impairments of Photonics Integrated Circuits to Reduce System Margin, file e384c432-97a0-d4b2-e053-9f05fe0a1d67
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13
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Automatic Management of N×N Photonic Switch Powered by Machine Learning in Software-defined Optical Transport, file e384c433-bf03-d4b2-e053-9f05fe0a1d67
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13
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Automatic Management of N×N Photonic Switch Powered by Machine Learning in Software-defined Optical Transport, file e384c433-df59-d4b2-e053-9f05fe0a1d67
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13
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Picosecond pulse amplification up to a peak power of 42 W by a quantum-dot tapered optical amplifier and a mode-locked laser emitting at 126 µm, file e384c434-be22-d4b2-e053-9f05fe0a1d67
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13
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Machine-learning-aided abstraction of photonic integrated circuits in software-defined optical transport, file e384c433-32fc-d4b2-e053-9f05fe0a1d67
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12
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Semiconductor racetrack resonator coupled to an S‐bent waveguide: Influence of the coupling coefficients on the unidirectional operation, file e384c433-f2e9-d4b2-e053-9f05fe0a1d67
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12
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Optimized management of ultra-wideband photonics switching systems assisted by machine learning, file e384c434-6867-d4b2-e053-9f05fe0a1d67
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12
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Machine-learning-aided abstraction of photonic integrated circuits in software-defined optical transport, file e384c433-2375-d4b2-e053-9f05fe0a1d67
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11
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Networking Analysis of Photonics Integrated Multiband WSS Based ROADM Architecture, file 322f9000-c444-4339-8f2a-2ceb3696fbb3
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10
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Coupled-Bloch-Wave Analysis of PhC Lasers, file e384c430-416e-d4b2-e053-9f05fe0a1d67
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10
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Optimized management of ultra-wideband photonics switching systems assisted by machine learning, file e384c434-6868-d4b2-e053-9f05fe0a1d67
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10
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High-power quantum-dot superluminescent tapered diode under CW operation, file e384c431-5443-d4b2-e053-9f05fe0a1d67
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9
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A Data-Driven Approach to Autonomous Management of Photonic Switching System, file e384c433-fc67-d4b2-e053-9f05fe0a1d67
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9
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Performance evaluation of data-driven techniques for the softwarized and agnostic management of an N×N photonic switch, file e384c434-1516-d4b2-e053-9f05fe0a1d67
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9
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Performance evaluation of data-driven techniques for the softwarized and agnostic management of an N×N photonic switch, file e384c434-1517-d4b2-e053-9f05fe0a1d67
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9
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Machine Learning Driven Model for Software Management of Photonics Switching Systems, file e384c434-9010-d4b2-e053-9f05fe0a1d67
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9
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Optimal control of Beneš optical networks assisted by machine learning, file e384c434-66d1-d4b2-e053-9f05fe0a1d67
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8
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Time Domain Traveling Wave analysis of the multimode dynamics of Quantum Dot Fabry-Perot Lasers, file e384c434-bee1-d4b2-e053-9f05fe0a1d67
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8
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Novel Design and Operation of Photonic- integrated WSS for Ultra-wideband Applications, file 57efeeea-2812-4aeb-8236-343b468a255d
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7
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Performance Analysis of Novel Multi-band Photonic-integrated WSS Operated on 400ZR, file 6ef4333a-516e-414e-8d66-323a2e4ee35d
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7
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Modular Photonic-Integrated Device for Multi-Band Wavelength-Selective Switching, file d4914fb1-8493-4764-ac0f-8e7b3b91fe72
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7
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Machine learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR, file e384c434-03f1-d4b2-e053-9f05fe0a1d67
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7
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Modular Photonic-Integrated Device for Multi-Band Wavelength-Selective Switching, file 3624cdd8-9483-41fa-a981-f4909a8adc40
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6
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Performance Analysis of Novel Multi-band Photonic-integrated WSS Operated on 400ZR, file 3ee54e6c-7286-46c9-a701-8e301ef34cb3
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6
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Novel Design and Operation of Photonic- integrated WSS for Ultra-wideband Applications, file db1dbdbe-1327-4804-b72a-ee476199003f
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6
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Machine Learning Assisted Management of Photonic Switching Systems, file e384c433-e8e7-d4b2-e053-9f05fe0a1d67
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6
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Softwarized and Autonomous Management of Photonic Switching Systems Using Machine Learning, file e384c433-fc68-d4b2-e053-9f05fe0a1d67
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6
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Exploring New Ultrafast Operation Regimes in Quantum Dot Lasers and Amplifiers, file e384c434-a48f-d4b2-e053-9f05fe0a1d67
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6
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Intensity noise behavior of an InAs/InGaAs quantum dot laser emitting on ground states and excited states, file e384c434-be9a-d4b2-e053-9f05fe0a1d67
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6
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Machine Learning Assisted Extraction of Vertical Cavity Surface Emitting Lasers Parameters, file c57dc7af-2e12-4e0c-bda6-68eb46e7af08
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5
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S-shaped waveguide-induced asymmetry between counter-propagating modes in a racetrack resonator, file e384c432-a474-d4b2-e053-9f05fe0a1d67
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5
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Machine learning assisted abstraction of photonic integrated circuits in fully disaggregated transparent optical networks, file e384c432-da05-d4b2-e053-9f05fe0a1d67
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5
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Autonomous Control Model for C+L Multi-band Photonic Switch System using Machine Learning, file e384c434-55f4-d4b2-e053-9f05fe0a1d67
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5
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Machine Learning aided characterization of multi-stage integrated ring resonator filters, file 7b627c49-4b38-46df-976f-3b45359c6006
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4
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Networking Analysis of Photonics Integrated Multiband WSS Based ROADM Architecture, file c8a03b22-1aa5-415d-bea4-db47b4f26398
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4
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Picosecond pulse amplification up to a peak power of 42 W by a quantum-dot tapered optical amplifier and a mode-locked laser emitting at 126 µm, file e384c42d-df40-d4b2-e053-9f05fe0a1d67
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4
|
|
Intensity noise behavior of an InAs/InGaAs quantum dot laser emitting on ground states and excited states, file e384c430-1a02-d4b2-e053-9f05fe0a1d67
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4
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Assessing the impact of design options for an optical switch in network routing impairments, file e384c431-5b63-d4b2-e053-9f05fe0a1d67
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4
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|
Machine Learning Assisted Model of QoT Penalties for Photonics Switching System, file e384c434-40df-d4b2-e053-9f05fe0a1d67
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4
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Machine learning Assisted Accurate Estimation of QoT Impairments of Photonics Switching System on 400ZR, file e384c434-444c-d4b2-e053-9f05fe0a1d67
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4
|
|
Autonomous Control Model for C+L Multi-band Photonic Switch System using Machine Learning, file e384c434-45c6-d4b2-e053-9f05fe0a1d67
|
4
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Network Traffic Analysis of Modular Multiband Integrated WSS based ROADMs, file 841cacde-5749-47d0-9ce5-2d7a3b7c767d
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3
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Semiconductor racetrack resonator coupled to an S‐bent waveguide: Influence of the coupling coefficients on the unidirectional operation, file e384c432-982f-d4b2-e053-9f05fe0a1d67
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3
|
|
Time Domain Traveling Wave analysis of the multimode dynamics of Quantum Dot Fabry-Perot Lasers, file e384c433-5ad3-d4b2-e053-9f05fe0a1d67
|
3
|
|
A Data-Driven Approach to Autonomous Management of Photonic Switching System, file e384c433-fc66-d4b2-e053-9f05fe0a1d67
|
3
|
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Machine Learning Assisted Model of QoT Penalties for Photonics Switching System, file e384c434-40e0-d4b2-e053-9f05fe0a1d67
|
3
|
|
A Neural Network-Based Automatized Management of N ×N Integrated Optical Switches, file e384c434-5611-d4b2-e053-9f05fe0a1d67
|
3
|
|
Machine Learning aided characterization of multi-stage integrated ring resonator filters, file 8ee43bdf-7cad-4a72-b911-68122d7a3479
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2
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Optimal sampling frequency in recording of resistance training exercises, file e384c42f-2ec6-d4b2-e053-9f05fe0a1d67
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2
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Threshold behaviour of optical frequency comb self-generation in an InAs/InGaAs quantum dot laser, file e384c431-1653-d4b2-e053-9f05fe0a1d67
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2
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Radio-frequency analysis of self-mode-locked quantum dot laser, file e384c431-263e-d4b2-e053-9f05fe0a1d67
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2
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Self-pulsing in single section ring lasers based on quantum dot materials: Theory and simulations, file e384c433-80df-d4b2-e053-9f05fe0a1d67
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2
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Exploring New Ultrafast Operation Regimes in Quantum Dot Lasers and Amplifiers, file e384c434-a490-d4b2-e053-9f05fe0a1d67
|
2
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|
Network Performance of ROADM Architecture Enabled by Novel Wideband-integrated WSS, file 51023fc6-db1c-41f3-88a7-16f58382b211
|
1
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Network Traffic Analysis of Modular Multiband Integrated WSS based ROADMs, file 5a3e6aeb-fd69-46ff-aa6c-5b26552ae20f
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1
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Network Performance of ROADM Architecture Enabled by Novel Wideband-integrated WSS, file 888121ce-3efd-4f72-9836-4da6209d4702
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1
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Machine Learning Assisted Extraction of Vertical Cavity Surface Emitting Lasers Parameters, file d61fba44-ba13-42b2-af8d-5a26e84db20a
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1
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Time-domain Travelling-wave Model for Quantum Dot Passive Mode-locked Lasers, file e384c42e-0e7f-d4b2-e053-9f05fe0a1d67
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1
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Modeling Passive Mode-Locking in Quantum Dot lasers: a comparison between a Finite Difference Travelling Wave model and a Delayed Differential Equation approach, file e384c42e-0eff-d4b2-e053-9f05fe0a1d67
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1
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| Totale |
8538 |
Archivio Istituzionale della Ricerca