SLAC National Accelerator Laboratory
Showing 51-100 of 165 Results
-
Anjani Maurya
Postdoctoral Scholar, Photon Science, SLAC
BioAnjani K. Maurya studied bachelor of technology (B.Tech) in engineering physics at the Indian Institute of Technology Guwahati, India, and masters in materials science exploring large-scale facilities at the University of Rennes 1, France, and the Technical University of Munich, Germany, in the framework of Erasmus Mundus program. He worked at the center for X-ray analytics and the laboratory for biomimetic membranes and textiles at Swiss Federal Laboratories for Materials Science and Technology (Empa) and obtained his Ph.D. in Biomedical Engineering from the University of Bern, Switzerland.
-
Paul McIntyre
Rick and Melinda Reed Professor, Professor of Photon Science and Senior Fellow at the Precourt Institute for Energy
BioMcIntyre's group performs research on nanostructured inorganic materials for applications in electronics, energy technologies and sensors. He is best known for his work on metal oxide/semiconductor interfaces, ultrathin dielectrics, defects in complex metal oxide thin films, and nanostructured Si-Ge single crystals. His research team synthesizes materials, characterizes their structures and compositions with a variety of advanced microscopies and spectroscopies, studies the passivation of their interfaces, and measures functional properties of devices.
-
Apurva Mehta
Senior Scientist, SLAC National Accelerator Laboratory
BioI am a materials scientist by training with 30 years of experience investigating molecular-scale processes that control function, aging, and failure of complex materials and devices. Advance characterization methods that give insight into molecular processes have undergone a dramatic change over those 30 years with the advent of brighter sources (from X-rays synchrotrons and free-electron lasers to MeV accelerator-based electron sources), and faster and larger area detectors. The depth and the precision of insights have improved significantly but the amount of raw data has increased by orders of magnitude as well, making extraction of deep insights harder. Over the last decade, I have, therefore, focused on leveraging emerging machine learning and artificial intelligence techniques to not only accelerate knowledge extraction from complex, multi-dimensional, and noisy data but also make data collection smarter.
-
Bennet Meyers
Staff Scientist, SLAC National Accelerator Laboratory
BioI am a Staff Scientist with SLAC National Accelerator Laboratory, in the Grid Integration Systems and Mobility (GISMo) Lab in the Applied Energy Division. I completed my PhD in Electrical Engineering at Stanford University in Winter 2023, advised by Prof. Stephen Boyd. We recently wrote a book on signal decomposition, which can be found under my publications tab. More info available on my personal website.
