Stanford University
Showing 301-310 of 361 Results
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Zhi-Xun Shen
Paul Pigott Professor of Physical Sciences, Professor of Applied Physics, of Physics and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsDr. Shen's main research interest lies in the area of condensed matter and materials physics, as well as the applications of materials and devices. He develops photon based innovative instrumentation and advanced experimental techniques, ranging from angle-resolved photoemission to microwave imaging, soft x-ray scattering and time domain spectroscopy and scattering. He has created a body of literature that advanced our understanding of quantum materials, including superconductors, semiconductors, novel magnets, topological insulators, novel carbon and electron emitters. He is best known for his discoveries of the momentum structure of anisotropic d-wave pairing gap and anomalous normal state pseudogap in high temperature superconductors. He has further leveraged the advanced characterization tool to make better materials through thin film and interface engineering.
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Aditi Sheshadri
Assistant Professor of Earth System Science and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioI am an assistant professor in Stanford's Earth System Science department. Prior to this, I was a Junior Fellow of the Simons Foundation in New York, and a postdoctoral research scientist at Columbia University’s Department of Applied Physics and Applied Math and the Lamont-Doherty Earth Observatory. I got my Ph.D. in Atmospheric Science at MIT's Department of Earth, Atmospheric, and Planetary Sciences, in the Program for Atmospheres, Oceans, and Climate, where I worked with R. Alan Plumb. I’m broadly interested in atmosphere and ocean dynamics, climate variability, and general circulation.
I'm particularly interested in fundamental questions in atmospheric dynamics, which I address using a combination of theory, observations, and both idealized and comprehensive numerical experiments. Current areas of focus include the dynamics, variability, and change of the mid-latitude jets and storm tracks, the stratospheric polar vortex, and atmospheric gravity waves. -
Linda M. Dairiki Shortliffe
Stanley McCormick Memorial Professor in the School of Medicine, Emerita
Current Research and Scholarly InterestsThe timing for intervention in obstruction in the infant and child is poorly understood.Our group has been interested in trying to define the risks that may be involved in obstructive and infectious uropathies and discovering early signs of damage to the urinary tract and kidney. We have explored ways of imaging the urinary tract using nonionizing radiation (US, MRI). We have studied the relationships of sex steroid hormones, pregnancy, reflux, urinary tract infection and urinary tract function.
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Robert Siegel
Professor (Teaching) of Microbiology and Immunology
Current Research and Scholarly InterestsMy work is primarily involved in medical education and curricular development, especially in the areas of infectious disease, virology, HIV, and molecular biology. Projects included electronic applications to science education, three dimensional model building, service learning, and the development of undergraduate research projects.
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Nicholas Siemons
Research Engineer, Precourt Institute for Energy
BioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Norman Sleep
Professor of Geophysics, Emeritus
Current Research and Scholarly InterestsPhysics of large-scale processes in the Earth
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Olav Solgaard
Audrey S. Hancock Professor in the School of Engineering
BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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George Somero
David and Lucile Packard Professor in Marine Science, Emeritus
Current Research and Scholarly InterestsWe examine two aspects of organism-environment interactions: How does stress from physical (e.g., temperature) and chemical (oxygen levels, pH) factors perturb organisms and how do organisms respond, adaptively, to cope with this stress? We examine evolutionary adaptation and phenotypic acclimatization using a wide variety of marine animals, including Antarctic fishes and invertebrates from intertidal habitats on the coastlines of temperate and tropical seas.
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Suihong Song
Physical Science Research Scientist, Energy Science & Engineering
BioSuihong Song collaborates with Professor Tapan Mukerji at the Stanford Center for Earth Resources Forecast (SCERF) as a postdoctoral scholar. His research is centered on integrating machine learning with geosciences, specifically focusing on machine learning-based reservoir characterization and geomodelling, Physics-informed Neural Networks (PINNs) and neural operators as well as their applications in porous flow simulations, neural networks-based surrogate and inversion, decision-making under uncertainty, and machine learning-based geological interpretation of well logs and seismic data. These research endeavors have practical applications in managing underground water resources, oil and gas exploration, geological storage of CO2, and the evaluation of hydrothermal and natural hydrogen, among others.Song proposed GANSim, an abbreviation for Generative Adversarial Networks-based reservoir simulation, which presents a reservoir geomodelling workflow. This innovative approach has been successfully implemented in various 3D field reservoirs by international oil companies, including ExxonMobil.