69 Prof. Kalisky Beena Department of Physics Member of BINA Quantum Center Nano-Electro Magnetism & Spintronics Center Research Areas • Superconductivity • Nano-magnetism • Bio-magnetism • Scanning SQUID microscopy • Complex oxid interfaces • Nano-electronics Abstract Sensitive magnetic imaging Study of emergent electronic phenomena in advanced materials, by means of local magnetic imaging.We develop and use scanning superconducting quantum interference device (SQUID) microscopy to map electronic properties such as conductivity, superconductivity and magnetism, near surfaces, interfaces and nanowires. We investigate the nature of the electronic states, track them across phase transitions, and image quantum phenomena. Cahen, D., Bär, M. “Prospect of Making XPS a High-Throughput Analytical Method Illustrated for a CuxNi1−xOy Combinatorial Material Library”. RSC Adv, 2022. • Anat Itzhak, Xu He, Adi Kama, Sujit Kumar, Michal Ejgenberg, Antoine Kahn, David Cahen. “NiN-Passivated NiO Hole-Transport Layer Improves Halide Perovskite-Based Solar Cell”. ACS Appl. Mater. Interfaces, 2022. • Anat Itzhak, David Keller, Tatyana Bendikov, Adi Kama, Oded Millo, Isaac Balberg, David Cahen. ”Steady-State Optoelectronic Measurements of Halide Perovskites on a Selective Contact: A Path to in Depth Comprehension of Their Photovoltaic Activity”. J. Phys. D Appl. Phys, 2022. Scanning SQUID imaging reveals current flow patterns at the interface between two oxides. They alter the way current flows in the device and explain the non-universal metal-insulator transition in this oxide system. Publications 2022 and 2023 • Meital Ozeri, TR Devidas,Hen Alpern, Eylon Persky, Anders V Bjorlig, Nir Sukenik, Shira Yochelis, Angelo Di Bernardo, Beena Kalisky, Oded Millo, Yossi Paltiel. “Scanning SQUID Imaging of Reduced Superconductivity Due to the Effect of Chiral Molecule Islands Adsorbed on Nb”. Advanced Materials Interfaces, 2023. • Eylon Persky, Hyeok Yoon, Yanwu Xie, Harold Y Hwang, Jonathan Ruhman, Beena Kalisky. “Electrostatic modulation of the lateral carrier density profile in field effect devices with nonlinear dielectrics”. Physical Review B, 2023. • Hadas Shtrikman, Man Suk Song, Magdalena A Załuska-Kotur, Ryszard Buczko, Xi Wang, Beena Kalisky, Perla Kacman, Lothar Houben, Haim Beidenkopf. “Intrinsic Magnetic (EuIn) As Nanowire Shells with a Unique Crystal Structure”. Nano Letters, 2023. • Alex Khanukov, Itay Mangel, Shai Wissberg, Amit Keren, Beena Kalisky. “Mixed superconducting state without applied magnetic field”. Physical Review B, 2022. • Anders V Bjørlig, Dennis V Christensen, Ricci Erlandsen, Nini Pryds, Beena Kalisky. “Current Mapping of Amorphous LaAlO3/SrTiO3 near the Metal–Insulator Transition”. ACS Applied Electronic Materials, 2022. • Eylon Persky, Anders V Bjørlig, Irena Feldman, Avior Almoalem, Ehud Altman, Erez Berg, Itamar Kimchi, Jonathan Ruhman, Amit Kanigel, Beena Kalisky. “Magnetic memory and spontaneous vortices in a van der Waals superconductor”. Nature, 2022. • Eylon Persky, Ilya Sochnikov, Beena Kalisky. “Studying quantum materials with scanning SQUID microscopy”. Annual Review of Condensed Matter Physics, 2022. • Jin Yue, Yilikal Ayino, Tristan K Truttmann, Maria N Gastiasoro, Eylon Persky, Alex Khanukov, Dooyong Lee, Laxman R Thoutam, Beena Kalisky, Rafael M Fernandes, Vlad S Pribiag, Bharat Jalan. “Anomalous transport in high-mobility superconducting SrTiO3 thin films”. Science Advances, 2022. • X Wang, M Laav, I Volotsenko, A Frydman, B Kalisky. “Visualizing Current in Superconducting Networks”. Physical Review Applied, 2022. Prof. Kalisky Tomer Faculty of Engineering Member of BINA Nano-Biomedicine Center Research Areas • Biochips & Sensors • Disease Treatment • Drug Delivery • Genomics, Proteomics & Glycomics • Imaging Abstract Single-cell genomics The mission of our lab is to understand how tissues and organs are formed in the human body, how they are maintained and regenerated throughout our lifetime, and what causes them to behave badly and create cancer. Two specific aims are: (i) to find markers for tissue-specific and cancer stem cells for regenerative medicine, targeted therapeutics, and early detection, and (ii) to understand tumor heterogeneity, that is, how tumors differ from patient to patient, in order to design personalized treatment strategies. To this end, we use single-cell technologies and next-generation sequencing. We dissociate a tissue or tumor into single cells and measure gene expression and sequence information from each individual cell. Then, we use computational algorithms to identify and characterize the different cells types and to understand their roles, fate trajectories, and network of interactions. Comprehensive profiling of embryonic, adult, and diseased tissues at the single-cell
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