Siyuan Lu  Siyuan Lu photo       

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Manager and Research Staff Member - Data Intensive Physical Analytics
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1809

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Professional Associations

Professional Associations:  American Geophysical Union  |  American Physical Society (APS)  |  Materials Research Society (MRS)


Regular Journal

  1.      J. Zhang, S. Chattara, S. Lu, A. Madhukar, "Mesa-top single photon emitter arrays: growth, characterization, and simulated optical response of integrated dielectric nanoantenna-waveguide systems", J. Appl. Phys., In press (2016).
  2.      J. Zhang, S. Lu, S. Chattara, A. Madhukar, "Triggered single photon emission up to 77K from ordered array of surface curvature-directed mesa-top GaAs/InGaAs single quantum dots", Opt. Express, In press (2016).
  3.      G. Badr, L. J. Klein, M. Freitag, C. M. Albrecht, F. J. Marianno, S. Lu, X. Shao, N, Hinds, G. Hoogenboom, H. F. Hamann, “Toward large-scale crop production forecasts for global food security”, IBM Journal of Research and Development, 60, 5:1-11 (2016).
  4.      C. B. Martinez-Anido, B, Botor, A. R. Florita, C. Draxl, S. Lu, H. F. Hamann, B.-M. Hodge, "The Value of Day-Ahead Solar Power Forecasting Improvement", Solar Energy, 129, 192-203 (2016).
  5.      I. Khabibrakhmanov, S. Lu, H. F. Hamann, K. Warren, “On the usefulness of solar energy forecast in the presence of asymmetric costs of errors”, IBM Journal of Research and Development, 60, 7:1-6 (2016).
  6.      J. Zhang, B.-M. Hodge, S. Lu, H. F. Hamann, B. Lehman, J. Simmons, E. Campos, V. Banunarayanan, J. Black,J. Tedesco, "Baseline and Target Values for Regional and Point Solar Power Forecasts: Toward Improved Solar Power Forecasting", Solar Energy, 122, 804-819 (2015).
  7.      H. F. Hamann, S. Lu, “Situation-dependent, machine learning based multi-model blending for improved renewable energy forecasting and beyond”, SPIE Newsroom, Nov 2015.
  8.      J. Zhang, A. Florita, B.-M. Hodge, S. Lu, H. F. Hamann. V. Banunarayanan, Anan M. Brockway, “A suite of metrics for assessing the performance of solar power forecasting”, Solar Energy, 111, 157-175 (2015).
  9.      Z. Lingley, S. Lu, A. Madhukar, “The Dynamics of energy and charge transfer in lead sulfide quantum dots solids”,J. Appl. Phys. 115, 084302 (2014).
  10.   J. Zhang, S. Lu, Z. Lingley, A. Madhukar, “Nanotemplate-Directed InGaAs/GaAs Quantum Dots: Towards Single Photon Emitter Arrays”, J. Vac. Sci. Technol. B, 32, 02C106 (2014).
  11.   Z. Lingley, K. Mahalingam, S. Lu, G. J. Brown, A. Madhukar “Nanocrystal - Semiconductor Interface: Atomic-Resolution Cross-Sectional Transmission Electron Microscope Study of Lead Sulfide Nanocrystal Quantum Dots on Crystalline Silicon”, Nano Research, 7, 219-227 (2014).
  12.   L. Huang, S. Lu, P. Chang, K. Banerjee, R. Hellwarth, J. Lu “Structural and Optical Verification of Residual Strain Effect in Single Crystalline CdTe Nanowires”,  Nano Research, 7, 228-235 (2014).
  13.   T. Gershon, B. Shin, T. Gokmen, S. Lu, N. Bojarczuk, and S. Guha, “Relationship between Cu2ZnSnS4 quasi donor-acceptor pair density and solar cell efficiency”, Appl. Phys. Lett. 103, 193903 (2013).
  14.   T. Gershon, B. Shin, N. Bojarczuk, T. Gokmen, S. Lu, and S. Guha, “Photoluminescence characterization of a high-efficiency Cu2ZnSnS4 device”, J. Appl. Phys., 114, 154905 (2013).
  15.   S. Lu, A. Madhukar, “Inducing repetitive action potential firing in neurons via synthesized photoresponsive nanoscale cellular prostheses”, Nanomedicine Nanotechnology, Biology, and Medicine, 9, 293-301(2013).
  16.   Z. Lingley, S. Lu, A. Madhukar, “A High Quantum Efficiency Preserving Approach to Ligand Exchange on Lead Sulfide Quantum Dots and Interdot Resonant Energy Transfer”, Nano Lett. 11, 2887-2891 (2011).
  17.   J. K. Lee (I), S. Lu (II), A. Madhukar, “Real-time Dynamics of Ca2+, Caspase-3/7, and Morphological Changes in Retinal Ganglion Cell Apoptosis under Elevated Pressure”, PLoS ONE, 5, e13437 (2010). (One of the two primary authors of equal contribution.)
  18.   S. Lu, A. Madhukar, “Cellular Prostheses: Functional Abiotic Nanosystems to Probe, Manipulate, and Endow Function in Live Cells”, Nanomedicine Nanotechnology, Biology, and Medicine. 6, 409-418 (2010).
  19.   S. Lu, Z. Lingley, T. Asano, D. Harris, T. Barwicz, S. Guha, A. Madhukar, “Photocurrent Induced by Nonradiative Energy Transfer from Nanocrystal Quantum Dots to Adjacent Silicon Nanowire Conducting Channels: Toward a New Solar Cell Paradigm”, Nano Lett. 9, 4548-4552 (2009).
  20.   S. Lu, A. Madhukar, “Nonradiative Resonant Excitation Transfer from Nanocrystal Quantum Dots to Adjacent Quantum Channels”, Nano Lett., 7, 3443-3451 (2007).
  21.   S. Lu, A. Bansal, W. Soussou, T. W. Berger, A. Madhukar, “Receptor-ligand based specific cell adhesion on solid surfaces: hippocampal neuronal cells on bilinker functionalized glass”, Nano Lett. 6, 1977-1981 (2006).
  22.   A. Madhukar, S. Lu, A. Konkar, Y. Zhang, M. Ho, S. M. Hughes, A. P. Alivisatos, “Integrated semiconductor nanocrystal and epitaxical nanostructure systems: Structural and optical behavior”, Nano Lett. 5, 479-482 (2005).
  23.   A. Konkar, S. Lu, A. Madhukar, “Semiconductor nanocrystal quantum dots on single crystal semiconductor substrates: High resolution transmission electron microscopy”, Nano Lett. 5, 969-973 (2005).
  24.   S. Lu, X. Ma and Y. Shen, “Measuring rotating substrate temperature by laser”, Optical Instruments, 22, 3-7 (2000).

 

 

Conference Proceeding

 

  1.      S. Lu, X. Shao, M. Freitag, L. J. Klein, J. Renwick, F. J. Marianno, C. Albrecht, H. F. Hamann, "IBM PAIRS Curated Big Data Service for Accelerated Geospatial Data Analytics and Discovery", Proceeding of the 1st IEEE International Workshop on Big Spatial Data (BSD) in conjunction with 2016 IEEE International Conference on Big Data, in press (2016).
  2.      X. Shao, S. Lu, T. G. van Kessel, H. F. Hamann, L. Daehler, J. Cwagenberg, A. Li, "Solar Irradiance Forecasting by Machine Learning for Solar Car Races", Proceeding of the 2nd International Workshop on Big Data for Sustainable Development in conjunction with 2016 IEEE International Conference on Big Data, in press (2016).
  3.      Y. Li, Q. Sun, B. Lehman, S. Lu, H. F. Hamann, J. Simmons, J. Black, A machine-learning approach for regional photovoltaic power forecasting, Proceeding of Power and Energy Society General Meeting (PESGM), (2016).
  4.      J. Zhang, S. Chattaraj, S. Lu, A. Madhukar, “On-chip Integrable Spectrally-Uniform Quantum Dot Single Photon Emitter Array with Multifunctional Dielectric Light Manipulation Elements: Towards Quantum Information Processing”, Proceeding of 2016 IEEE Photonic Society Summer Topical Meeting, MB4.2, (2016).
  5.      X. Shao, S. Lu, H. F. Hamann, “Solar radiation forecast with machine learning”, Proceeding of the 23rd International Workshop on Active-Matrix Flatpanel Displays and Devices, 19-22 (2016).
  6.      L. J. Klein, F. J. Marianno, C. M. Albrecht, M. Freitag, S. Lu, N. Hinds, X. Shao, S. B. Rodriguez, H. F. Hamann, “PAIRS: A scalable geo-spatial data analytics platform”, Proceeding of the IEEE International Conference on Big Data, page 1290-1298 (2015).
  7.      S. A. Chen, A. Wishwanath, S. Sathe, S. Kalynaraman, S. Lu, "Understanding the Performance of Solar PV Systems Using Data-Driven Analytics, Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative, page 1-6(2015).
  8.      W Y. Cheung, J. Zhang, A. Florita, B.-M. Hodge, S. Lu. H. Hamann, Q. Sun, B. Lehman, "Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis", Proceeding of the 5th International Workshop on Integration of Solar Power into Power Systems (2015).
  9.      S. Lu, Y. Hwang, I. Khabibrakhmanov, F. J. Marianno, X. Shao, J. Zhang, B.-M. Hodge, H. F. Hamann, “Machine Learning Based Multi-Physical-Model Blending for Enhancing Renewable Energy Forecast – Improvement via Situation Dependent Error Correction.”  Proceeding of European Control Conference 2015, pp. 283 - 290 (2015).
  10.   Y. Chen, X. Xu, P. Li, S. Lu, S. Huang, W. Lu, K. Brown “GeoMix: Scalable Geoscientific Array Data Management”,  Proceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware Conference, Article No. 1 (2013).
  11.   J. Zhang, B.-M. Hodge, A. Florita , S. Lu, H. F. Hamann. V. Banunarayanan, “Metrics for Evaluating the Accuracy of Solar Power Forecasting”, Proceeding of 3rd International Workshop on Integration of Solar Power into Power Systems (2013).
  12.   A. Konkar, S. Lu, A. Madhukar, S.M. Hughes, and A.P. Alivisatos, "Integration of Nanocrystal Quantum Dots With Crystalline Semiconductor Substrates: Structure, Stability, and Optical Response", Mater. Res. Soc. Symp. Proc., 854E, U.4.7.; (www.mrs.org, 2005).
  13.   S. Lu, X. Ma, and Y. Shen, “Measuring rotating substrate temperature by laser”, Proc. SPIE, 4086, 860-863 (2000).