Announcing the 2022 Edward N. Lorenz Early Career Award Winners

Congratulations to Dr. Yuzuru Kato, Prof. Thomas Lilienkamp, and Tiemo Padergnana View in Browser SUBMIT AN ARTICLE MANAGE MY ALERTS ABOUT THE JOURNAL Chaos Congratulations to the 2022 Edward N. Lorenz Early Career Award Winners The three 2022 Award winners are Dr. Yuzuru Kato, Prof. Thomas Lilienkamp, and Mr. Tiemo Padergnan The aim of the Edward N. Lorenz Early Career Award is to recognize outstanding research in nonlinear science by early career Chaos authors. Candidates must be within 8 years of receiving their Master's, 5 years of receiving their PhD, or a current student. Candidates must also be the first author on a paper published in Chaos during the award year, and not have won the award previously. READ THE PRESS RELEASE > YUZURU KATO Dr. Yuzuru Kato received his M.S. degree in engineering from Keio University in 2014 and his Ph.D. degree in engineering from the Tokyo Institute of Technology in 2020. He was a researcher at the Hitachi Central Research Laboratory, Hitachi, Ltd. from 2014 to 2017, and at the Keio Leading-edge Laboratory of Science and Technology at Keio University from 2017 to 2018. He was a postdoctoral researcher at the Tokyo Institute of Technology from 2020 to 2022. Since 2022, he has been an associate professor at the Department of Complex and Intelligent Systems, Future University Hakodate. His main research interests are nonlinear dynamics, open quantum systems, control theory, stochastic processes, and their applications to nonlinear phenomena such as synchronization and pattern formation. Dr. Yuzuru Kato Future University Hakodate A definition of the asymptotic phase for quantum nonlinear oscillators from the Koopman operator viewpoint Yuzuru Kato, Hiroya Nakao READ MORE > THOMAS LILIENKAMP Prof. Thomas Lilienkamp received his Ph.D. in physics from the University of Göttingen under the supervision of apl. Prof. Dr. Ulrich Parlitz in 2018. In 2022, he finished his postdoctoral at the Max Planck Institute for Dynamics and Self-Organization. Since March of 2023, he has been a permanent W2 professor for computational physics in life science at the Technische Hochschule Nürnberg (Nuremberg Institute of Technology). His work explores the fundamental mechanisms underlying cardiac arrhythmias using numerical simulations, with a goal to create efficient control strategies and improve medical treatments for patients. Part of this includes developing low energy defibrillation strategies to reduce the severe side effects associated with their high energy counterparts.  Prof. Thomas Lilienkamp Technische Hochschule Nürnberg Taming cardiac arrhythmias: Terminating spiral wave chaos by adaptive deceleration pacing Thomas Lilienkamp, Ulrich Parlitz, Stefan Luther READ MORE > TIEMO PEDERGNANA Tiemo Pedergnana is a doctoral student at ETH Zürich under Prof. Noiray, where he conducts theoretical, experimental, and numerical research in acoustics for combustion and metamaterial applications. In the past, he has worked on vibrations of elastic beams and plates, model reduction with spectral submanifolds, exact Navier-Stokes solutions and objective flow visualization. His core interest is the development of new methods for the analysis of dynamical systems with a strong focus on applying them to real-world experiments.  Tiemo Pedergnana ETH Zürich Exact potentials in multivariate Langevin equations Tiemo Pedergnana, Nicolas Noiray READ MORE > EDITORIAL Winners of 2022 Edward Norton Lorenz Early Career Awards István Z. Kiss, Jürgen Kurths, Ulrich Parlitz, Jie Sun READ MORE > EDWARD N. LORENZ EARLY CAREER AWARD FINALISTS  A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks Shahrokh Shahi, Flavio H. Fenton, Elizabeth M. Cherry READ MORE > Review of sample-based methods used in an analysis of multistable dynamical systems Maciej Leszczyński, Przemysław Perlikowski, Tomasz Burzyński, Tomasz M. Kowalski, et al. READ MORE > Temporal evolution of failure avalanches of the fiber bundle model on complex networks Attia Batool, Zsuzsa Danku, Gergő Pál, Ferenc Kun READ MORE > The Abraham–Lorentz force and the time evolution of a chaotic system: The case of charged classical and quantum Duffing oscillators Kamila A. Krok, Artur P. Durajski, Radosław Szczȩśniak READ MORE > Rijke tube: A nonlinear oscillator Krishna Manoj, Samadhan A. Pawar, Jürgen Kurths, R. I. Sujith READ MORE > Thermalization dynamics of macroscopic weakly nonintegrable maps Merab Malishava, Sergej Flach READ MORE > Templex: A bridge between homologies and templates for chaotic attractors Gisela D. Charó, Christophe Letellier, Denisse Sciamarella READ MORE > Spatiotemporal patterns of firearm acquisition in the United States in different presidential terms Xu Wang, Rifat Sipahi, Maurizio Porfiri READ MORE > A combinatorial view of stochastic processes: White noise Alvaro Diaz-Ruelas READ MORE > Influence of higher-order modes on ferroconvection C. Kanchana, J. A. Vélez, L. M. Pérez, D. Laroze, et al. READ MORE > Learning spatiotemporal chaos using next-generation reservoir computing Wendson A. S. Barbosa, Daniel J. Gauthier READ MORE > Quasi-objective eddy visualization from sparse drifter data Alex P. Encinas-Bartos, Nikolas O. Aksamit, George Haller READ MORE > Exploring bifurcations in Bose–Einstein condensates via phase field crystal models A. B. Steinberg, F. Maucher, S. V. Gurevich, U. Thiele READ MORE > Detecting bifurcations in dynamical systems with CROCKER plots İsmail Güzel, Elizabeth Munch, Firas A. Khasawneh READ MORE > The three-dimensional generalized Hénon map: Bifurcations and attractors Amanda E. Hampton, James D. Meiss READ MORE > A variable threshold for recurrence based on local attractor density Rémi Delage, Toshihiko Nakata READ MORE > Dual-domain analysis of gun violence incidents in the United States Nick James, Max Menzies READ MORE > Chaotic heteroclinic networks as models of switching behavior in biological systems Megan Morrison, Lai-Sang Young READ MORE > The impact of positive and negative information on SIR-like epidemics in delayed multiplex networks Xifen Wu, Haibo Bao READ MORE > Tell Us What You Think! Did you like this email? Yes > No >  Follow us on social media Copyright © 2023 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this email because you have opted-in to receive alerts from us. To guarantee delivery of this email please add journals@aip-info.org to your address book and safe senders list. 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