FYS-1550 Fysiikan seminaari, 2020-21 torstaisin klo 12:15 alkaen Zoom-kokouksena (Meeting ID: 840 543 3506, https://tuni.zoom.us/j/8405433506) FYS-1556 Physics seminar, 2020-21 on Thursdays starting at 12:15 with Zoom, Meeting ID: 840 543 3506, https://tuni.zoom.us/j/8405433506 http://iki.fi/trantala/opetus/files/FYS-1550.Fysiikan.seminaari/FYS-1550.20-21.txt Contact: Tapio.Rantala@tuni.fi or +35840 543 3506 s. 2020 ------- 35 27.08. TR - Tapio Rantala: "Path integral perspective to quantum mechanics" (E/E) 36 03.09. TR - Janne Solanpää: "Modeling COVID-19 epidemic in Finland: How to predict the behavior of 5.5 million people" (E/E) 37 10.09. Op - Laura Ala-aho: "Säteilyn tuottaminen ja toimittaminen kohteeseen ulkoisessa sädehoidossa" (F/F) 38 17.09. Op - Jani Patrakka: "Azobenzene photoisomerisation in humidity sensing" (/E) 39 24.09. JM - Stephen Wright: "Fouling and Aviation" (E/E) 40 01.10. TS - Alex Berdin: "Holographic writing - True color diffractive pixels by multi-exposure of surface relief gratings" (E/E) & Philipp Tatar-Mathes: "Exotic wavelengths and where to find them" (E/E) 41 08.10. TR - Nina Helander: "Tietojohtamisen tutkimus - yhteisiä rajapintoja rakentamassa" 43 22.10. TR - Sanna Siljander ja Tomas Björkqvist: "Selluloosananomateriaalit – tulevaisuuden mahdollisuudet" (F/F) 44 29.10. Op - Juha Teuho: "CERN:n avoin data opetuskäytössä" (F/F) 45 05.11. TS - Tommi Mikkonen: "Photoacoustic spectroscopy: sensing gas molecules by listening" & Hannu Pasanen: "Charge carrier diffusion measured using transient reflectance" (E/E) 46 12.11. TR - Tapio Katko: "Water services: a key for sustainable and resilient communities" 47 19.11. TR - Henri Jalo: "Lisätty todellisuus ja virtuaalitodellisuus organisaatiokontekstissa - Käyttöönoton haasteet ja mahdollisuudet" (F/) 48 26.11. TR - David Blazevic: "Energy scavenging - energy thieves for powering low power sensing devices" (E/E) 49 03.12. TS - Shambhavee Annurakshita: "Maskless fabrication of plasmonic metasurfaces in a polymer film using spatial light modulator" (E/E) & Abba Saleh: "Supercontinuum-based Lidar for spectroscopic sensing and applications" (E/E) 12.12. TR - Nobel-iltapäivä (http://iki.fi/trantala/popular/Nobel) (F/F) k. 2021 ------- 2 14.01. TR - Harri Ali-Löytty: "In Situ and Operando Electron Spectroscopy Analysis of Photoelectrochemical Interfaces for Solar Fuel Production" 3 21.01. JN - Jouko Nieminen: "Computational studies of 2D materials for quantum technologies" (Abstract, below) 4 28.01. TR - Juha Vinha: "Ilmastonmuutoksen ja energiatehokkuuden parantamisen vaikutukset rakennusten rakennusfysikaalisessa toiminnassa" (F/F) 5 04.02. MD - Miikka Dal Maso ja Helmi-Marja Keskinen: "Koronaviruksen aerosolikulkeutuminen / Coronavirus transmission by aerosols" 6 11.02. TR - Tuomo Mäki-Marttunen: "Biophysically detailed neuron modeling: from ion channels to psychiatry" (E/E) 7 18.02. TS - Timo Stolt: "Temperature-tunable surface lattice resonances in plasmonic metasurfaces" & Nouman Zia: "Mode-locked GaSb semiconductor lasers around 2µm wavelength" (E/E) 8 25.02. TR - Paola Vivo: "Halide perovskite semiconductors for next-generation optoelectronics" (E/E) 10 11.03. TS - Daria Briukhanova: "Controlling the plasmon resonance with ENZ multilayer metamaterial" & Subhajit Bej: "Nonlinear plasmonics beyond the Noble metals" (E/E) 11 18.03. TR - Kaisa-Reeta Koskinen: "Mitä annettavaa fyysikolla on ilmastonmuutoksen vastaiseen taisteluun?" (F/) 12 25.03. TR - Alpi Tolvanen: "Diamagnetic susceptibility with path integral Monte Carlo method" *** PÄÄSIÄISTAUKO / EASTER BREAK *** 14 08.04. TS - Ramsha Khan: "Charge carrier dynamics in TiO2 thin films deposited by ALD" & Carlos Rodriguez Fernandez: "Magneto-optical properties of layered 2D materials" (E/E) 15 15.04. TR - Hannu Häkkinen: "Machine learning for hybrid metal nanoparticles" (Abstract, below) 16 22.04. TR - Marja-Leena Linne: "Computational modeling of plasticity and learning in the brain" (F/E) 17 29.04. TR - Esa Rahtu: "Visual Localisation and Odometry for Mobile Devices and Machines" Seminar languages are indicated in parenthesis (talk/slides): (E/E), (F/E), (F/F). - - - - - 21.1.2021 Jouko Nieminen: "Computational studies of 2D materials for quantum technologies" Low-dimensional materials have emerged into the spotlight of theoretical and experimental condensed matter physics during the last few decades. The properties of cuprate based high-temperature superconductors were found to be dominantly governed by behaviour of electrons within quasi-two-dimensional structures. Experimental realization of Quantum Hall Effect (QHE) and atomic layer thin graphene opened a fascinating world of class of materials whose rich variety of properties are based on two-dimensional physics. Several applications of those materials have been proposed from miniature electronic or photonic components and sensors to applications of spintronic logic components or quantum computing. In this presentation, I am going to bring up a few aspects of low-dimensional materials, their potential applications and how they are related to my research work. - - - - - 15.4.2021 Hannu Häkkinen: "Machine learning for hybrid metal nanoparticles" Hybrid metal nanoparticles have a metal core protected by a monolayer of organic molecules. These systems have many types of interatomic bonds of varying chemical strength. Traditionally, the most reliable evaluation of the total energy of such systems has been done by using the density functional theory (DFT) that often results in numerically heavy computations requiring the use of supercomputers. This has precluded efficient simulations to understand nanoparticles' functionalities, e.g., as catalysts, or interactions with biological objects such as proteins, viruses, or DNA. Machine learning methods, once trained to model the systems reliably, can potentially speed up the simulations by several orders of magnitude. This talk presents a brief overview of recent efforts by our group to develop AI- and ML-based methods to: (i) interpret STM images of the organic monolayer surface by pattern recognition (Nature Comm. 9, 2948 (2018)), (ii) predict the structure of metal-ligand interface in order to effectively build computational models for such nanoparticles (Nature Comm. 10, 3973 (2019)), (iii) speed up significantly dynamical simulations of their structure and properties (J. Phys. Chem A 124, 4827 (2020)). - - - - -