Highlights of Max Planck Institute for the Physics of Complex Systems https://www.pks.mpg.de/ here are the highlights of Max Planck Institute for the Physics of Complex Systems en_GB Max Planck Institute for the Physics of Complex Systems Thu, 28 Oct 2021 13:37:42 +0200 Thu, 28 Oct 2021 13:37:42 +0200 TYPO3 EXT:news news-679 Tue, 12 Oct 2021 11:04:00 +0200 Call for Distinguished PKS Postdoctoral Fellowship 2022 now open! https://www.pks.mpg.de/fileadmin/user_upload/MPIPKS/Research/Highlights/Distinguished_PKSFellow_2022.pdf Application deadline: 24 November 2021. Distinguished PKS postdoctoral fellows appear personally along with the departments and groups on the main research page of the institute and are expected to have at least one year of postdoctoral experience at an institution other than the one at which their PhD was awarded. Applications for this fellowship directly after completion of the PhD might be considered in exceptional cases. Please click on the link- button to see the full advertisement!  

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Institute's News
news-678 Tue, 05 Oct 2021 10:38:00 +0200 New Research Group - The Physics of Living Matter https://www.pks.mpg.de/de/forschung/abteilungen-und-gruppen We cordially welcome Ricard Alert at the institute! Ricard joins MPI-PKS from Princeton University and establishes the research group "The Physics of Living Matter". The group aims at uncovering physical principles of living matter. In particular, it will develop the physics of active matter to understand collective behaviors in cells and tissues. The group's research topics include collective cell migration, self-organization in bacterial colonies, active turbulence, mechanochemical patterns in tissues, mechanically-regulated tissue growth, and active fluctuations in cells. Ricard is also a member of the Center for Systems Biology Dresden and strengthens the collaboration of MPI-PKS with experimental groups at MPI-CBG.  

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Institute's News
news-677 Thu, 16 Sep 2021 10:13:49 +0200 Reinforcement Learning for Digital Quantum Simulation https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.110502 Digital quantum simulation on quantum computers provides the potential to simulate the unitary evolution of any many-body Hamiltonian with bounded spectrum by discretizing the time evolution operator through a sequence of elementary quantum gates. A fundamental challenge in this context originates from experimental imperfections, which critically limits the number of attainable gates within a reasonable accuracy and therefore the achievable system sizes and simulation times. In this work, we introduce a reinforcement learning algorithm to systematically build optimized quantum circuits for digital quantum simulation upon imposing a strong constraint on the number of quantum gates. With this we consistently obtain quantum circuits that reproduce physical observables with as little as three entangling gates for long times and large system sizes up to 16 qubits. As concrete examples we apply our formalism to a long-range Ising chain and the lattice Schwinger model. Our method demonstrates that digital quantum simulation on noisy intermediate scale quantum devices can be pushed to much larger scale within the current experimental technology by a suitable engineering of quantum circuits using reinforcement learning. A. Bolens et al., Phys. Rev. Lett. 127, 110502 (2021). Publication Highlights news-676 Thu, 16 Sep 2021 10:07:55 +0200 Machine learning universal bosonic functionals https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.L032063 The one-body reduced density matrix $\gamma$ plays a fundamental role in describing and predicting quantum features of bosonic systems, such as Bose-Einstein condensation. The recently proposed reduced density matrix functional theory for bosonic ground states establishes the existence of a universal functional $F[\gamma]$ that recovers quantum correlations exactly. Based on a decomposition of $\gamma$, we have developed a method to design reliable approximations for such universal functionals: Our results suggest that for translational invariant systems the constrained search approach of functional theories can be transformed into an unconstrained problem through a parametrization of a Euclidian space. This simplification of the search approach allows us to use standard machine learning methods to perform a quite efficient computation of both $F[\gamma]$ and its functional derivative. For the Bose-Hubbard model, we present a comparison between our approach and the quantum Monte Carlo method. J. Schmidt et al., Phys. Rev. Res. 3, L032063 (2021). Publication Highlights news-675 Mon, 09 Aug 2021 08:59:26 +0200 Unitary long-time evolution with quantum renormalization groups and artificial neural networks https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.127.050601 We combine quantum renormalization group approaches with deep artificial neural networks for the description of the real-time evolution in strongly disordered quantum matter. We find that this allows us to accurately compute the long-time coherent dynamics of large many-body localized systems in nonperturbative regimes including the effects of many-body resonances. Concretely, we use this approach to describe the spatiotemporal buildup of many-body localized spin-glass order in random Ising chains. We observe a fundamental difference to a noninteracting Anderson insulating Ising chain, where the order only develops over a finite spatial range. We further apply the approach to strongly disordered two-dimensional Ising models, highlighting that our method can be used also for the description of the real-time dynamics of nonergodic quantum matter in a general context. H. Burau et al., Phys. Rev. Lett. 127, 050601 (2021) Publication Highlights news-674 Wed, 21 Jul 2021 12:29:22 +0200 Unraveling forces within the nucleus http://www.doi.org/10.1038/s41567-021-01285-1 Understanding how individual proteins work together to perform complex cellular processes such as transcription, DNA replication, and repair represents a crucial goal in cell biology. Transcription is a process in the nucleus where protein complexes work together to generate transcripts of RNA from genes. For proper transcriptional regulation, enhancers—short strips of DNA—must be brought into close proximity of the gene’s promoter. Given that enhancers and promoters are often located far apart within the genome, the question then arises: how do proteins bring these enhancers and promoters together in space and time? And what are the physics behind it? Answering these questions would provide deep insights into the proper regulation of transcription in the cell nucleus. However, extracting such information is far from trivial. But recent work from the research group of Jan Brugués at the Max Planck Institute of Molecular Cell Biology and Genetics in collaboration with Frank Jülicher at the MPI for the Physics of Complex Systems has revealed an important clue: Forces. Jan’s lab is also located at the MPI for the Physics of Complex Systems and is affiliated with the Center for Systems Biology Dresden. Interactions between liquids and solids have long been known to generate forces, such as those maintaining the tension of a spider web or those that allow insects to walk on water. However, whether such forces play a role inside the cell has remained unclear. With the development of precise biophysical methods and advanced imaging techniques, we are getting closer to not only observing such forces but also measuring them. The Brugués lab imaged the interactions between single molecules of DNA and the transcription factor FoxA1, a protein responsible for determining cell fate in many species. They discovered that FoxA1 molecules brought distant regions of DNA together, generating forces that condensed the DNA. When the single molecule of DNA was stretched tightly — like a tightened elastic band — FoxA1 molecules could not bring DNA together. However, when the DNA molecule was floppy, FoxA1 molecules worked together to condense the DNA, overcoming the DNA’s intrinsic tension. This new information helps paint a clearer picture of the interactions between transcriptional regulators and the surface of the DNA. Remarkably, the physics underlying these FoxA1-DNA interactions are reminiscent of the forces that maintain the tension of a spider web. Similar to how liquid droplets on a spider web generate forces that reel in broken strands of silk, FoxA1 acts as the liquid phase that condenses DNA and brings it together. This study demonstrated how proteins work together to generate forces in the cell nucleus. Such a result opens an exciting research direction to understanding other complex processes in the cell. Thomas Quail, post-doctoral researcher in the Brugués lab says: “Our findings set forth a novel mechanism that the cell nucleus may use to organize its chromatin and DNA. It’s possible that these condensation forces generated between solid and liquid surfaces could also be relevant for other cellular bodies such as the mitotic spindle and membranes.” T. Quail et al., Nature Physics (2021) Publication Highlights news-673 Tue, 06 Jul 2021 10:52:00 +0200 Physik-Preis Dresden zum fünften Mal verliehen Am 6. Juli 2021 wurde der „Physik-Preis Dresden“ der TU Dresden und des Max-Planck-Instituts für Physik komplexer Systeme (MPI-PKS) zum fünften Mal verliehen. Der Physik-Preis Dresden 2021 geht an Professor Gijsje Koenderink von der Technischen Universität Delft. Gijsje Koenderink ist eine herausragende experimentelle Biophysikerin mit einer Reihe von bahnbrechenden Arbeiten zur Zellmechanik und zellulären Krafterzeugung. In Anerkennung ihrer hervorragenden Beiträge zur Physik der Zellen erhält Gijsje Koenderink den Dresdner Physikpreis 2021, der gemeinsam vom Max-Planck-Institut für Physik komplexer Systeme und der TU Dresden verliehen wird. Die Forschung von Gijsje Koenderink ist von großem Interesse für eine Reihe von Forschungsgruppen in Dresden, insbesondere im Rahmen des Exzellenzclusters "Physik des Lebens". Die Verleihung des Physik-Preis Dresden 2021 an Professor Koenderink schafft eine wertvolle Verbindung zwischen ihrer Forschungsgruppe und der Forschung auf den Gebieten Polymerphysik, weicher kondensierter Materie, Biophysik und Zellbiologie in Dresden. Gastgeber des Abends, Prof. Dr. Frank Jülicher, Direktor am Max-Planck-Institut für Physik komplexer Systeme, war überaus erfreut, dass mit Gijsje Koenderink eine so bedeutende internationale Forscherpersönlichkeit geehrt wurde. Der Physik-Preis Dresden wurde 2015 von dem Dresdner Physiker Prof. Peter Fulde, dem Gründungsdirektor des MPI-PKS gestiftet. Die Preisträger werden von einer gemeinsamen Kommission der TU Dresden und des MPI-PKS bestimmt. Neben dem zentralen Kriterium der wissenschaftlichen Exzellenz ist für die Entscheidung vor allem wichtig, dass die Arbeiten der Preisträger für die Zusammenarbeit zwischen beiden Dresden-concept Partnern MPI-PKS und TU Dresden von besonderer Bedeutung sind und deren Verbindung langfristig weiter gestärkt wurde. Awards and Honors news-671 Mon, 07 Jun 2021 14:35:50 +0200 Hydraulic instability decides who’s to die and who’s to live https://www.nature.com/articles/s41567-021-01235-x In many species including humans, the cells responsible for reproduction, the germ cells, are often highly interconnected and share their cytoplasm. In the hermaphrodite nematode Caenorhabditis elegans, up to 500 germ cells are connected to each other in the gonad, the tissue that produces eggs and sperm. These cells are arranged around a central cytoplasmic “corridor” and exchange cytoplasmic material fostering cell growth, and ultimately produce oocytes ready to be fertilized. In past studies, researchers have found that C. elegans gonads generate more germ cells than needed. Only half of them grow to become oocytes, while the rest shrinks and die by physiological apoptosis, a programmed cell death that occurs in multicellular organisms. Now, scientists from the Biotechnology Center of the TU Dresden (BIOTEC), the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), the Cluster of Excellence Physics of Life (PoL) at the TU Dresden, the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), the Flatiron Institute, NY, and the University of California, Berkeley, found evidence to answer the question of what triggers this cell fate decision between life and death in the germline. Prior studies revealed the genetic basis and biochemical signals that drive physiological cell death, but the mechanisms that select and initiate apoptosis in individual germ cells remained unclear. As germ cells mature along the gonad of the nematode, they first collectively grow in size and in volume homogenously. In the study just published in Nature Physics, the scientists show that this homogenous growth suddenly shifts to a heterogenous growth where some cells become bigger and some cells become smaller. The researcher Nicolas Chartier in the group of Stephan Grill, and co-first author of the study, explains: “By precisely analyzing germ cell volumes and cytoplasmic material fluxes in living worms and by developing theoretical modeling, we have identified a hydraulic instability that amplifies small initial random volume differences, which causes some germ cells to increase in volume at the expense of the others that shrink. It is a phenomenon, which can be compared to the two-balloon instability, well known of physicists. Such an instability arises when simultaneously blowing into two rubber balloons attempting to inflate them both. Only the larger balloon will inflate, because it has a lower internal pressure than the smaller one, and is therefore easier to inflate.” This is what is at play in the selection of germ cells: such pressure differences tend to destabilize the symmetric configuration with equal germ cell volumes, so-called hydraulic instabilities, leading to the growth of the larger germ cell at the expense of the smaller one. By artificially reducing germ cell volumes via thermoviscous pumping (FLUCS method: focused-light-induced cytoplasmic streaming), the team demonstrated that the reduction in cell volumes leads to their extrusion and cell death, indicating that once a cell is below a critical size, apoptosis is induced and the cell dies. By using confocal imaging, the researchers could image the full organism of the living worm to receive a global and precise picture of the volumes of all the gonad cells, as well as the exchange of fluids between the cells. Stephan Grill, Speaker of the PoL and director at the MPI-CBG and supervisor of the multidisciplinary work, adds: “These findings are very exciting because they reveal that the life and death decision in the cells is of mechanical nature and related to tissue hydraulics. It helps to understand how the organism auto-selects a cell that will become an egg. Furthermore, the study is another example of the excellent cooperation between biologists, physicists and mathematicians in Dresden.” T. Chartier et al., Nature Physics (2021) Publication Highlights news-669 Tue, 20 Apr 2021 11:04:19 +0200 Disorder-Free Localization in an Interacting 2D Lattice Gauge Theory https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.130401 Disorder-free localization has been recently introduced as a mechanism for ergodicity breaking in low-dimensional homogeneous lattice gauge theories caused by local constraints imposed by gauge invariance. We show that also genuinely interacting systems in two spatial dimensions can become nonergodic as a consequence of this mechanism. This result is all the more surprising since the conventional many-body localization is conjectured to be unstable in two dimensions; hence the gauge invariance represents an alternative robust localization mechanism surviving in higher dimensions in the presence of interactions. Specifically, we demonstrate nonergodic behavior in the quantum link model by obtaining a bound on the localization-delocalization transition through a classical correlated percolation problem implying a fragmentation of Hilbert space on the nonergodic side of the transition. We study the quantum dynamics in this system by introducing the method of “variational classical networks,” an efficient and perturbatively controlled representation of the wave function in terms of a network of classical spins akin to artificial neural networks. We identify a distinguishing dynamical signature by studying the propagation of line defects, yielding different light cone structures in the localized and ergodic phases, respectively. The methods we introduce in this work can be applied to any lattice gauge theory with finite-dimensional local Hilbert spaces irrespective of spatial dimensionality. P. Karpov et al., Phys. Rev. Lett. 126, 130401 (2021). Publication Highlights news-668 Tue, 20 Apr 2021 10:51:23 +0200 Anatomy of $\mathbb{Z}_2$ fluxes in anyon Fermi liquids and Bose condensates https://journals.aps.org/prb/abstract/10.1103/PhysRevB.103.035145 We study in detail the properties of $\pi$-fluxes embedded in a state with a finite density of anyons that form either a Fermi liquid or a Bose-Einstein condensate. By employing a recently developed exact lattice bosonization in 2D, we demonstrate that such $\pi$-flux remains a fully deconfined quasi-particle with a finite energy cost in a Fermi liquid of emergent fermions coupled to a $\mathbb{Z}_2$ gauge field. This $\pi$-flux is accompanied by a screening cloud of fermions, which in the case of a Fermi gas with a parabolic dispersion binds exactly 1/8 of a fermionic hole. In addition there is a long-ranged power-law oscillatory disturbance of the liquid surrounding the $\pi$-flux akin to Friedel oscillations. These results carry over directly to the $\pi$-flux excitations in orthogonal metals. In sharp contrast, when the $\pi$-flux is surrounded by a Bose-Einstein condensate of particles coupled to a $\mathbb{Z}_2$ gauge field, it binds a superfluid half-vortex, becoming a marginally confined excitation with a logarithmic energy cost divergence. O. Pozo et al., Phys. Rev. B 103, 035145 (2021) Publication Highlights news-667 Mon, 12 Apr 2021 10:59:11 +0200 Random Multipolar Driving: Tunably Slow Heating through Spectral Engineering https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.040601 Driven quantum systems may realize novel phenomena absent in static systems, but driving-induced heating can limit the timescale on which these persist. We study heating in interacting quantum many-body systems driven by random sequences with n-multipolar correlations, corresponding to a polynomially suppressed low-frequency spectrum. For $n\geq 1$, we find a prethermal regime, the lifetime of which grows algebraically with the driving rate, with exponent $2n+1$. A simple theory based on Fermi’s golden rule accounts for this behavior. The quasiperiodic Thue-Morse sequence corresponds to the $n\to \infty$ limit and, accordingly, exhibits an exponentially long-lived prethermal regime. Despite the absence of periodicity in the drive, and in spite of its eventual heat death, the prethermal regime can host versatile nonequilibrium phases, which we illustrate with a random multipolar discrete time crystal. H. Zhao et al., Phys. Rev. Lett. 126, 040601 (2021). Publication Highlights news-666 Mon, 12 Apr 2021 10:33:10 +0200 Possible Inversion Symmetry Breaking in the $S=1/2$ Pyrochlore Heisenberg Magnet https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.126.117204 We address the ground-state properties of the long-standing and much-studied three-dimensional quantum spin liquid candidate, the $S=1/2$ pyrochlore Heisenberg antiferromagnet. By using SU(2) density-matrix renormalization group (DMRG), we are able to access cluster sizes of up to 128 spins. Our most striking finding is a robust spontaneous inversion symmetry breaking, reflected in an energy density difference between the two sublattices of tetrahedra, familiar as a starting point of earlier perturbative treatments. We also determine the ground-state energy, $E_0/N_{sites}=-0.490(6)$, by combining extrapolations of DMRG with those of a numerical linked cluster expansion. These findings suggest a scenario in which a finite-temperature spin liquid regime gives way to a symmetry-broken state at low temperatures. I. Hagymási et al., Phys. Rev. Lett. 126, 117204 (2021) Publication Highlights news-658 Tue, 02 Feb 2021 10:38:00 +0100 MPI-PKS kicks off the year with 3 new research groups https://www.pks.mpg.de/de/forschung/abteilungen-und-gruppen A warm welcome to three new research group leaders at the institute! Pierre Haas joins us from the University of Oxford and heads the research group "Self-Organization of Multicellular Systems". The group is based jointly at the Center for Systems Biology Dresden, the MPI-PKS and the MPI-CBG and will focus on the mechanics of cells and tissues. In particular, Pierre's group is interested in deriving the continuum theories that represent the rich mechanical behavior of tissues during development and thus allow understanding how robust development is compatible with mechanical constraints and biological variability. While the research of the group is theoretical, it will work in close collaboration with experimental groups at the MPI-CBG and beyond. Matt Eiles originally joined MPI-PKS from Purdue University and was a Distinguished PKS Postdoctoral Fellow until December, now heading the new group "Correlations and Transport in Rydberg Matter" associated with the Finite Systems Division. Via the study of Rydberg matter the group aims to answer fundamental questions about atomic structure, low-energy collisions and scattering, and the behavior of ultracold gases, while also raising new questions related to localization, transport, highly correlated systems, quantum chaos, semiclassical dynamics, and quantum simulation. A strong relationship with ongoing experimental work and the flexibility of Rydberg atoms to shed insight into new theoretical inquiries motivate their research. Marko Popovic comes to Dresden from the EPFL Lausanne and establishes the research group "Order and Disorder in Driven Systems" associated with the Biological Physics Division. The group will investigate mechanical and rheological properties of out-of-equilbrium systems, with an emphasis on development of biological tissues and the role of structural disorder. Furthermore, emergence of order in biological systems and its relation to tissue mechanical properties will be of particular interest. Welcome to the institute and have a great start!  

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news-659 Mon, 01 Feb 2021 22:52:39 +0100 The aging of protein droplets https://science.sciencemag.org/content/370/6522/1317 Many proteins form small droplets that separate out of the cell’s cytoplasm, just like oil de-mixes from water. Since their discovery, these liquid-like protein droplets have been identified in myriad important biological phenomena ranging from embryonic development over neuro-degeneration to DNA regulation. For instance, the localization of protein droplets in a specific location during early development of a worm is believed to determine which cells will become the sexual organs of the adult worm. In another example, protein condensation into droplets under cell stress is associated with the growth of fibers related to neurodegeneration as seen in ALS (Amyotrophic lateral sclerosis) disease. Observations have shown that the material properties of these protein condensates change with time. However, an appropriate measurement and description of the material properties and their evolution over time was missing so far. Researchers from the MPI of Molecular Cell Biology and Genetics (MPI-CBG) and the MPI for the Physics of Complex Systems (MPI-PKS), together with their colleagues from the TU Dresden, EMBL Heidelberg and the IMBA Vienna have now filled this gap. In their study, recently published in Science, the scientists show that protein droplets exhibit aging behavior in which they change slowly from liquid-like behavior to a more solid-like state. Louise Jawerth, postdoc in the Frank Jülicher and Tony Hyman groups and first author of the publication, explains, “In order to carefully measure and characterize the time-dependent material properties we first developed a new optical trap technique (Jawerth et al physical review letters 2018 121 (25), 258101)”. The former ELBE postdoctoral fellow at the CSBD continues, ”We then found that droplet aging shows a strongly increasing viscosity, which leads to more solid-like behaviour. Our study suggests that the time-dependent material properties arise from unspecific mechanisms such as jamming of molecules.” Frank Jülicher, director at the MPI-PKS and member of the CSBD and the “Physics of Life” (PoL) Cluster of Excellence at the TU Dresden, adds, “Similar aging has been seen in other materials with time-dependent properties such as traditional glass, plastics, rubbers, or common household items like toothpaste or mayonnaise. By establishing a connection to glass forming systems, we open a new window in which we can utilize a wealth of understanding of these other systems to understand protein droplets.” The second supervisor of the study, Anthony Hyman, director at the MPI-CBG and member of the CSBD, summarizes, “The analogy to traditional glasses also suggests that the unspecific interactions resulting in a solid-like state require less energy to dissolve than, for instance, in comparison to a gel comprised of very strong bonds. Furthermore, it may be used in cells as novel stress sensors. Further study on aging in protein droplets may help to answer fundamental biological questions, for example in embryonic development or DNA transcription, and to better understand neurodegenerative diseases. Vice versa, it may also lead to insights into glass-like aging more generally, which is considered one of the big unsolved questions in condensed matter physics.” L. Jawerth et al., Science 370, 1317 (2020) Publication Highlights news-657 Fri, 18 Dec 2020 08:00:51 +0100 Many-Body Delocalization via Emergent Symmetry https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.240401 Many-body localization (MBL) provides a mechanism to avoid thermalization in many-body quantum systems. Here, we show that an emergent symmetry can protect a state from MBL. Specifically, we propose a $Z_2$ symmetric model with nonlocal interactions, which has an analytically known, SU(2) invariant, critical ground state. At large disorder strength, all states at finite energy density are in a glassy MBL phase, while the lowest energy states are not. These do, however, localize when a perturbation destroys the emergent SU(2) symmetry. The model also provides an example of MBL in the presence of nonlocal, disordered interactions that are more structured than a power law. Finally, we show how the protected state can be moved into the bulk of the spectrum. N. S. Srivatsa et al., Phys. Rev. Lett. 125, 240401 (2020).  

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news-656 Tue, 15 Dec 2020 10:53:00 +0100 Carlsberg Foundation Young Researcher Fellowship for Anne E. B. Nielsen https://www.carlsbergfondet.dk/en Anne E. B. Nielsen receives 670 thousand euro from the Carlsberg Foundation to search for and investigate new types of non-thermal behaviors in strongly correlated quantum many-body systems. The Carlsberg Foundation Young Researcher Fellowships are three-year grants that allow the grantee to establish an independent research group working on a research topic within natural science, social science, or the humanities.  

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news-655 Mon, 14 Dec 2020 10:46:19 +0100 Protein condensates as aging Maxwell fluids https://science.sciencemag.org/content/370/6522/1317 Cells organize their biochemistry by forming liquid-like condensates of biomolecules that can act as tiny reactors to localize chemical reactions. Researchers from the Physics of Complex Systems together with with colleagues of the MPI of molecular cell biology and genetics in Dresden investigate the physical nature and material properties of protein condensates using microrheology techniques. They find that many protein condensates increase their viscosity with time and slow their dynamics, while always remaining soft and liquid-like. This is suggestive of glassy behaviors and could have important implications for cellular dynamics. Jawerth et al. Science 370, 1317 (2020)  

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Publication Highlights
news-654 Fri, 11 Dec 2020 09:17:05 +0100 The surprising mise en abyme of a Rydberg molecule https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.123401 We predict a new class of Rydberg molecules, comprised of a Rydberg atom and a ground state atom, whose energy spectrum conforms to a certain mise en abyme: nested within successive levels of the infinite electronic Rydberg series lie several finite vibrational Rydberg series. These intertwined series arise from Coulomb potentials in the electronic and nuclear degrees of freedom. The emergence of nuclear Coulomb interaction in a Rydberg molecule is surprising because it is otherwise found only in a heavy Bohr atom, consisting of a cation and an anion. We establish a connection between heavy Bohr atoms and Rydberg molecules via a dressed ion-pair model. In this new perspective, the low-energy scattering of the Rydberg electron off of the ground state atom dresses the neutral atom with a fractional negative charge. Coulomb forces between this dressed anion and the Rydberg cation lead to the formation of Rydberg molecules. In the class of Rydberg molecules we predict, this charge is nearly independent of the internuclear distance, yielding a Coulombic potential. Although this property and the effective ion-pair binding mechanism are very unusual, these molecules need not be: our work shows that these are generic, and can be formed from a Rydberg atom and any neutral polarizable object. P. Giannakeas et al., Phys. Rev. Lett. 125, 123401 (2020)  

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news-649 Fri, 30 Oct 2020 09:28:15 +0100 Power-law population heterogeneity governs epidemic waves https://www.mpg.de/15962200/heterogenous-population-herd-immunity Differences between individuals reduce the number of infections required for herd immunity In rapidly spreading epidemics such as the current coronavirus pandemic, it is usually expected that a majority of the population will be infected before herd immunity is achieved and the epidemic abates. The estimate of when the threshold for this is reached is usually based on models that assume all individuals in a population are identical. Researchers at the Max Planck Institute for the Physics of Complex Systems in Dresden have used a new model to demonstrate that herd immunity can be achieved at a lower threshold if some individuals are more easily infected than others. J. Neipel et al., PLoS ONE 15(10): e0239678 (2020).  

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news-643 Tue, 06 Oct 2020 10:38:00 +0200 New Research Group Correlations and Topology https://www.pks.mpg.de/de/forschung/abteilungen-und-gruppen A warm welcome to Ashley Cook who joined us from the University of California in Berkeley and heads the new research group on correlations and topology! The research will focus on the effects of correlations and topology in condensed matter systems, with special emphasis on searching for novel phases of matter and exploration of mechanisms for experimental realization of exotic phases of matter. This group aims to accelerate the process of transitioning from introduction of novel phases of matter into the literature to experimental realization and finally applications, merging what have previously been more disparate areas of expertise. While the research group focuses on theoretical condensed matter physics, it will work in close collaboration with experimental groups, in particular those at MPI-CPfS.  

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