2022 ANNUAL REPORT

70 Prof. Kalisky Beena Department of Physics Member of BINA Nano & Advanced Materials Center 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. Sensitive magnetic imaging reveals stripy current flow at the interface between two oxides, which is related to the structure of strontium titanate. Publications 2021 and 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 13, 385-405, 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. · Maria D’Antuono, Alexey Kalaboukhov, Roberta Caruso, Shai Wissberg, Sapir Weitz Sobelman, Beena Kalisky, Giovanni Ausanio, Marco Salluzzo, Daniela Stornaiuolo. “Nanopatterning of oxide 2-dimensional electron systems using low-temperature ion milling”. Nanotechnology, 2021. · R Fittipaldi, R Hartmann, MT Mercaldo, S Komori, A Bjørlig, W Kyung, Y Yasui, T Miyoshi, LAB Olde Olthof, Palomares Garcia, V Granata, I Keren, W Higemoto, A Suter, T Prokscha, A Romano, C Noce, C Kim, Y Maeno, E Scheer, B Kalisky, JWA Robinson, M Cuoco, Z Salman, A Vecchione, A Di Bernardo. “Unveiling unconventional magnetism at the surface of Sr2RuO4”. Nature Communications, 2021. · Eylon Persky, Naor Vardi, Ana Mafalda RVL Monteiro, Thierry C van Thiel, Hyeok Yoon, Yanwu Xie, Benoît Fauqué, Andrea D Caviglia, Harold Y Hwang, Kamran Behnia, Jonathan Ruhman, Beena Kalisky. “Non-universal current flow near the metal-insulator transition in an oxide interface”. Nature communications, 2021. · A Barthelemy, N Bergeal, M Bibes, A Caviglia, R Citro, M Cuoco, A Kalaboukhov, B Kalisky, A Perroni, J Santamaria, D Stornaiuolo, M Salluzzo. “Quasi-two-dimensional electron gas at the oxide interfaces for topological quantum physics”. EPL (Europhysics Letters), 2021. · Gal Tuvia, Yiftach Frenkel, Prasanna K Rout, Itai Silber, Beena Kalisky, Yoram Dagan. “Ferroelectric Exchange Bias Affects Interfacial Electronic States”. Advanced Materials, 2021. Prof. Kalisky Tomer Faculty of Engineering Member of BINA Medicine 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 level will allow us to understand cellular and molecular mechanism underlying development, regeneration, and disease.

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