@article{6184,
  abstract     = {We prove edge universality for a general class of correlated real symmetric or complex Hermitian Wigner matrices with arbitrary expectation. Our theorem also applies to internal edges of the self-consistent density of states. In particular, we establish a strong form of band rigidity which excludes mismatches between location and label of eigenvalues close to internal edges in these general models.},
  author       = {Alt, Johannes and Erdös, László and Krüger, Torben H and Schröder, Dominik J},
  issn         = {0091-1798},
  journal      = {Annals of Probability},
  number       = {2},
  pages        = {963--1001},
  publisher    = {Institute of Mathematical Statistics},
  title        = {{Correlated random matrices: Band rigidity and edge universality}},
  doi          = {10.1214/19-AOP1379},
  volume       = {48},
  year         = {2020},
}

@article{8978,
  abstract     = {Mosaic analysis with double markers (MADM) technology enables concomitant fluorescent cell labeling and induction of uniparental chromosome disomy (UPD) with single-cell resolution. In UPD, imprinted genes are either overexpressed 2-fold or are not expressed. Here, the MADM platform is utilized to probe imprinting phenotypes at the transcriptional level. This protocol highlights major steps for the generation and isolation of projection neurons and astrocytes with MADM-induced UPD from mouse cerebral cortex for downstream single-cell and low-input sample RNA-sequencing experiments.

For complete details on the use and execution of this protocol, please refer to Laukoter et al. (2020b).},
  author       = {Laukoter, Susanne and Amberg, Nicole and Pauler, Florian and Hippenmeyer, Simon},
  issn         = {2666-1667},
  journal      = {STAR Protocols},
  number       = {3},
  publisher    = {Elsevier},
  title        = {{Generation and isolation of single cells from mouse brain with mosaic analysis with double markers-induced uniparental chromosome disomy}},
  doi          = {10.1016/j.xpro.2020.100215},
  volume       = {1},
  year         = {2020},
}

@article{21539,
  abstract     = {The inability of conventional electronic architectures to efficiently solve large combinatorial problems motivates the development of novel computational hardware. There has been much effort toward developing application-specific hardware across many different fields of engineering, such as integrated circuits, memristors, and photonics. However, unleashing the potential of such architectures requires the development of algorithms which optimally exploit their fundamental properties. Here, we present the Photonic Recurrent Ising Sampler (PRIS), a heuristic method tailored for parallel architectures allowing fast and efficient sampling from distributions of arbitrary Ising problems. Since the PRIS relies on vector-to-fixed matrix multiplications, we suggest the implementation of the PRIS in photonic parallel networks, which realize these operations at an unprecedented speed. The PRIS provides sample solutions to the ground state of Ising models, by converging in probability to their associated Gibbs distribution. The PRIS also relies on intrinsic dynamic noise and eigenvalue dropout to find ground states more efficiently. Our work suggests speedups in heuristic methods via photonic implementations of the PRIS.},
  author       = {Roques-Carmes, Charles and Shen, Yichen and Zanoci, Cristian and Prabhu, Mihika and Atieh, Fadi and Jing, Li and Dubček, Tena and Mao, Chenkai and Johnson, Miles R. and Čeperić, Vladimir and Joannopoulos, John D. and Englund, Dirk and Soljačić, Marin},
  issn         = {2041-1723},
  journal      = {Nature Communications},
  publisher    = {Springer Nature},
  title        = {{Heuristic recurrent algorithms for photonic Ising machines}},
  doi          = {10.1038/s41467-019-14096-z},
  volume       = {11},
  year         = {2020},
}

@article{8038,
  abstract     = {Microelectromechanical systems and integrated photonics provide the basis for many reliable and compact circuit elements in modern communication systems. Electro-opto-mechanical devices are currently one of the leading approaches to realize ultra-sensitive, low-loss transducers for an emerging quantum information technology. Here we present an on-chip microwave frequency converter based on a planar aluminum on silicon nitride platform that is compatible with slot-mode coupled photonic crystal cavities. We show efficient frequency conversion between two propagating microwave modes mediated by the radiation pressure interaction with a metalized dielectric nanobeam oscillator. We achieve bidirectional coherent conversion with a total device efficiency of up to ~60%, a dynamic range of 2 × 10^9 photons/s and an instantaneous bandwidth of up to 1.7 kHz. A high fidelity quantum state transfer would be possible if the drive dependent output noise of currently ~14 photons s^−1 Hz^−1 is further reduced. Such a silicon nitride based transducer is in situ reconfigurable and could be used for on-chip classical and quantum signal routing and filtering, both for microwave and hybrid microwave-optical applications.},
  author       = {Fink, Johannes M and Kalaee, M. and Norte, R. and Pitanti, A. and Painter, O.},
  issn         = {2058-9565},
  journal      = {Quantum Science and Technology},
  number       = {3},
  publisher    = {IOP Publishing},
  title        = {{Efficient microwave frequency conversion mediated by a photonics compatible silicon nitride nanobeam oscillator}},
  doi          = {10.1088/2058-9565/ab8dce},
  volume       = {5},
  year         = {2020},
}

@article{8755,
  abstract     = {The superconducting circuit community has recently discovered the promising potential of superinductors. These circuit elements have a characteristic impedance exceeding the resistance quantum RQ ≈ 6.45 kΩ which leads to a suppression of ground state charge fluctuations. Applications include the realization of hardware protected qubits for fault tolerant quantum computing, improved coupling to small dipole moment objects and defining a new quantum metrology standard for the ampere. In this work we refute the widespread notion that superinductors can only be implemented based on kinetic inductance, i.e. using disordered superconductors or Josephson junction arrays. We present modeling, fabrication and characterization of 104 planar aluminum coil resonators with a characteristic impedance up to 30.9 kΩ at 5.6 GHz and a capacitance down to ≤ 1 fF, with lowloss and a power handling reaching 108 intra-cavity photons. Geometric superinductors are free of uncontrolled tunneling events and offer high reproducibility, linearity and the ability to couple magnetically - properties that significantly broaden the scope of future quantum circuits. },
  author       = {Peruzzo, Matilda and Trioni, Andrea and Hassani, Farid and Zemlicka, Martin and Fink, Johannes M},
  issn         = {2331-7019},
  journal      = {Physical Review Applied},
  number       = {4},
  publisher    = {American Physical Society},
  title        = {{Surpassing the resistance quantum with a geometric superinductor}},
  doi          = {10.1103/PhysRevApplied.14.044055},
  volume       = {14},
  year         = {2020},
}

@article{7910,
  abstract     = {Quantum illumination uses entangled signal-idler photon pairs to boost the detection efficiency of low-reflectivity objects in environments with bright thermal noise. Its advantage is particularly evident at low signal powers, a promising feature for applications such as noninvasive biomedical scanning or low-power short-range radar. Here, we experimentally investigate the concept of quantum illumination at microwave frequencies. We generate entangled fields to illuminate a room-temperature object at a distance of 1 m in a free-space detection setup. We implement a digital phase-conjugate receiver based on linear quadrature measurements that outperforms a symmetric classical noise radar in the same conditions, despite the entanglement-breaking signal path. Starting from experimental data, we also simulate the case of perfect idler photon number detection, which results in a quantum advantage compared with the relative classical benchmark. Our results highlight the opportunities and challenges in the way toward a first room-temperature application of microwave quantum circuits.},
  author       = {Barzanjeh, Shabir and Pirandola, S. and Vitali, D and Fink, Johannes M},
  issn         = {2375-2548},
  journal      = {Science Advances},
  number       = {19},
  publisher    = {AAAS},
  title        = {{Microwave quantum illumination using a digital receiver}},
  doi          = {10.1126/sciadv.abb0451},
  volume       = {6},
  year         = {2020},
}

@inproceedings{9001,
  abstract     = {Quantum illumination is a sensing technique that employs entangled signal-idler beams to improve the detection efficiency of low-reflectivity objects in environments with large thermal noise. The advantage over classical strategies is evident at low signal brightness, a feature which could make the protocol an ideal prototype for non-invasive scanning or low-power short-range radar. Here we experimentally investigate the concept of quantum illumination at microwave frequencies, by generating entangled fields using a Josephson parametric converter which are then amplified to illuminate a room-temperature object at a distance of 1 meter. Starting from experimental data, we simulate the case of perfect idler photon number detection, which results in a quantum advantage compared to the relative classical benchmark. Our results highlight the opportunities and challenges on the way towards a first room-temperature application of microwave quantum circuits.},
  author       = {Barzanjeh, Shabir and Pirandola, Stefano and Vitali, David and Fink, Johannes M},
  booktitle    = {IEEE National Radar Conference - Proceedings},
  isbn         = {9781728189420},
  issn         = {1097-5659},
  location     = {Florence, Italy},
  number       = {9},
  publisher    = {IEEE},
  title        = {{Microwave quantum illumination with a digital phase-conjugated receiver}},
  doi          = {10.1109/RadarConf2043947.2020.9266397},
  volume       = {2020},
  year         = {2020},
}

@misc{13070,
  abstract     = {This dataset comprises all data shown in the figures of the submitted article "Surpassing the resistance quantum with a geometric superinductor". Additional raw data are available from the corresponding author on reasonable request.},
  author       = {Peruzzo, Matilda and Trioni, Andrea and Hassani, Farid and Zemlicka, Martin and Fink, Johannes M},
  publisher    = {Zenodo},
  title        = {{Surpassing the resistance quantum with a geometric superinductor}},
  doi          = {10.5281/ZENODO.4052882},
  year         = {2020},
}

@article{21554,
  abstract     = {Recent progress in artificial intelligence is largely attributed to the rapid development of machine learning, especially in the algorithm and neural network models. However, it is the performance of the hardware, in particular the energy efficiency of a computing system that sets the fundamental limit of the capability of machine learning. Data-centric computing requires a revolution in hardware systems, since traditional digital computers based on transistors and the von Neumann architecture were not purposely designed for neuromorphic computing. A hardware platform based on emerging devices and new architecture is the hope for future computing with dramatically improved throughput and energy efficiency. Building such a system, nevertheless, faces a number of challenges, ranging from materials selection, device optimization, circuit fabrication and system integration, to name a few. The aim of this Roadmap is to present a snapshot of emerging hardware technologies that are potentially beneficial for machine learning, providing the Nanotechnology readers with a perspective of challenges and opportunities in this burgeoning field.},
  author       = {Berggren, Karl and Xia, Qiangfei and Likharev, Konstantin K and Strukov, Dmitri B and Jiang, Hao and Mikolajick, Thomas and Querlioz, Damien and Salinga, Martin and Erickson, John R and Pi, Shuang and Xiong, Feng and Lin, Peng and Li, Can and Chen, Yu and Xiong, Shisheng and Hoskins, Brian D and Daniels, Matthew W and Madhavan, Advait and Liddle, James A and McClelland, Jabez J and Yang, Yuchao and Rupp, Jennifer and Nonnenmann, Stephen S and Cheng, Kwang-Ting and Gong, Nanbo and Lastras-Montaño, Miguel Angel and Talin, A Alec and Salleo, Alberto and Shastri, Bhavin J and de Lima, Thomas Ferreira and Prucnal, Paul and Tait, Alexander N and Shen, Yichen and Meng, Huaiyu and Roques-Carmes, Charles and Cheng, Zengguang and Bhaskaran, Harish and Jariwala, Deep and Wang, Han and Shainline, Jeffrey M and Segall, Kenneth and Yang, J Joshua and Roy, Kaushik and Datta, Suman and Raychowdhury, Arijit},
  issn         = {1361-6528},
  journal      = {Nanotechnology},
  number       = {1},
  publisher    = {IOP Publishing},
  title        = {{Roadmap on emerging hardware and technology for machine learning}},
  doi          = {10.1088/1361-6528/aba70f},
  volume       = {32},
  year         = {2020},
}

@misc{13071,
  abstract     = {This dataset comprises all data shown in the plots of the main part of the submitted article "Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State". Additional raw data are available from the corresponding author on reasonable request.},
  author       = {Hease, William J and Rueda Sanchez, Alfredo R and Sahu, Rishabh and Wulf, Matthias and Arnold, Georg M and Schwefel, Harald and Fink, Johannes M},
  publisher    = {Zenodo},
  title        = {{Bidirectional electro-optic wavelength conversion in the quantum ground state}},
  doi          = {10.5281/ZENODO.4266025},
  year         = {2020},
}

@article{21525,
  abstract     = {We present a novel design for an ultracompact, passive light source capable of generating ultraviolet and X-ray radiation, based on the interaction of free electrons with the magnetic near-field of a ferromagnet. Our design is motivated by recent advances in the fabrication of nanostructures, which allow the confinement of large magnetic fields at the surface of ferromagnetic nanogratings. Using ab initio simulations and a complementary analytical theory, we show that highly directional, tunable, monochromatic radiation at high frequencies could be produced from relatively low-energy electrons within a tabletop design. The output frequency is tunable in the extreme ultraviolet to hard X-ray range via electron kinetic energies from 1 keV to 5 MeV and nanograting periods from 1 μm to 5 nm. The proposed radiation source can achieve the tunability and monochromaticity of current free-electron-driven sources (free-electron lasers, synchrotrons, and laser-driven undulators), yet with a significantly reduced scale, cost, and complexity. Our design could help realize the next generation of tabletop or on-chip X-ray sources.},
  author       = {Fisher, Sophie and Roques-Carmes, Charles and Rivera, Nicholas and Wong, Liang Jie and Kaminer, Ido and Soljačić, Marin},
  issn         = {2330-4022},
  journal      = {ACS Photonics},
  keywords     = {X-ray sources, free electrons, nanostructure, undulator, synchrotron, free-electron laser},
  number       = {5},
  pages        = {1096--1103},
  publisher    = {American Chemical Society },
  title        = {{Monochromatic X-ray source based on scattering from a magnetic nanoundulator}},
  doi          = {10.1021/acsphotonics.0c00121},
  volume       = {7},
  year         = {2020},
}

@article{8535,
  abstract     = {We propose a method to enhance the visual detail of a water surface simulation. Our method works as a post-processing step which takes a simulation as input and increases its apparent resolution by simulating many detailed Lagrangian water waves on top of it. We extend linear water wave theory to work in non-planar domains which deform over time, and we discretize the theory using Lagrangian wave packets attached to spline curves. The method is numerically stable and trivially parallelizable, and it produces high frequency ripples with dispersive wave-like behaviors customized to the underlying fluid simulation.},
  author       = {Skrivan, Tomas and Soderstrom, Andreas and Johansson, John and Sprenger, Christoph and Museth, Ken and Wojtan, Christopher J},
  issn         = {1557-7368},
  journal      = {ACM Transactions on Graphics},
  number       = {4},
  publisher    = {Association for Computing Machinery},
  title        = {{Wave curves: Simulating Lagrangian water waves on dynamically deforming surfaces}},
  doi          = {10.1145/3386569.3392466},
  volume       = {39},
  year         = {2020},
}

@article{7339,
  abstract     = {Cytoskeletal filaments such as microtubules (MTs) and filamentous actin (F-actin) dynamically support cell structure and functions. In central presynaptic terminals, F-actin is expressed along the release edge and reportedly plays diverse functional roles, but whether axonal MTs extend deep into terminals and play any physiological role remains controversial. At the calyx of Held in rats of either sex, confocal and high-resolution microscopy revealed that MTs enter deep into presynaptic terminal swellings and partially colocalize with a subset of synaptic vesicles (SVs). Electrophysiological analysis demonstrated that depolymerization of MTs specifically prolonged the slow-recovery time component of EPSCs from short-term depression induced by a train of high-frequency stimulation, whereas depolymerization of F-actin specifically prolonged the fast-recovery component. In simultaneous presynaptic and postsynaptic action potential recordings, depolymerization of MTs or F-actin significantly impaired the fidelity of high-frequency neurotransmission. We conclude that MTs and F-actin differentially contribute to slow and fast SV replenishment, thereby maintaining high-frequency neurotransmission.},
  author       = {Piriya Ananda Babu, Lashmi and Wang, Han Ying and Eguchi, Kohgaku and Guillaud, Laurent and Takahashi, Tomoyuki},
  issn         = {1529-2401},
  journal      = {Journal of neuroscience},
  number       = {1},
  pages        = {131--142},
  publisher    = {Society for Neuroscience},
  title        = {{Microtubule and actin differentially regulate synaptic vesicle cycling to maintain high-frequency neurotransmission}},
  doi          = {10.1523/JNEUROSCI.1571-19.2019},
  volume       = {40},
  year         = {2020},
}

@article{8170,
  abstract     = {Alignment of OCS, CS2, and I2 molecules embedded in helium nanodroplets is measured as a function
of time following rotational excitation by a nonresonant, comparatively weak ps laser pulse. The distinct
peaks in the power spectra, obtained by Fourier analysis, are used to determine the rotational, B, and
centrifugal distortion, D, constants. For OCS, B and D match the values known from IR spectroscopy. For
CS2 and I2, they are the first experimental results reported. The alignment dynamics calculated from the
gas-phase rotational Schrödinger equation, using the experimental in-droplet B and D values, agree in
detail with the measurement for all three molecules. The rotational spectroscopy technique for molecules in
helium droplets introduced here should apply to a range of molecules and complexes.},
  author       = {Chatterley, Adam S. and Christiansen, Lars and Schouder, Constant A. and Jørgensen, Anders V. and Shepperson, Benjamin and Cherepanov, Igor and Bighin, Giacomo and Zillich, Robert E. and Lemeshko, Mikhail and Stapelfeldt, Henrik},
  issn         = {1079-7114},
  journal      = {Physical Review Letters},
  number       = {1},
  publisher    = {American Physical Society},
  title        = {{Rotational coherence spectroscopy of molecules in Helium nanodroplets: Reconciling the time and the frequency domains}},
  doi          = {10.1103/PhysRevLett.125.013001},
  volume       = {125},
  year         = {2020},
}

@article{7656,
  abstract     = {We propose that correlations among neurons are generically strong enough to organize neural activity patterns into a discrete set of clusters, which can each be viewed as a population codeword. Our reasoning starts with the analysis of retinal ganglion cell data using maximum entropy models, showing that the population is robustly in a frustrated, marginally sub-critical, or glassy, state. This leads to an argument that neural populations in many other brain areas might share this structure. Next, we use latent variable models to show that this glassy state possesses well-defined clusters of neural activity. Clusters have three appealing properties: (i) clusters exhibit error correction, i.e., they are reproducibly elicited by the same stimulus despite variability at the level of constituent neurons; (ii) clusters encode qualitatively different visual features than their constituent neurons; and (iii) clusters can be learned by downstream neural circuits in an unsupervised fashion. We hypothesize that these properties give rise to a “learnable” neural code which the cortical hierarchy uses to extract increasingly complex features without supervision or reinforcement.},
  author       = {Berry, Michael J. and Tkačik, Gašper},
  issn         = {1662-5188},
  journal      = {Frontiers in Computational Neuroscience},
  publisher    = {Frontiers},
  title        = {{Clustering of neural activity: A design principle for population codes}},
  doi          = {10.3389/fncom.2020.00020},
  volume       = {14},
  year         = {2020},
}

@article{7603,
  abstract     = {Plants are exposed to a variety of abiotic and biotic stresses that may result in DNA damage. Endogenous processes - such as DNA replication, DNA recombination, respiration, or photosynthesis - are also a threat to DNA integrity. It is therefore essential to understand the strategies plants have developed for DNA damage detection, signaling, and repair. Alternative splicing (AS) is a key post-transcriptional process with a role in regulation of gene expression. Recent studies demonstrate that the majority of intron-containing genes in plants are alternatively spliced, highlighting the importance of AS in plant development and stress response. Not only does AS ensure a versatile proteome and influence the abundance and availability of proteins greatly, it has also emerged as an important player in the DNA damage response (DDR) in animals. Despite extensive studies of DDR carried out in plants, its regulation at the level of AS has not been comprehensively addressed. Here, we provide some insights into the interplay between AS and DDR in plants.},
  author       = {Nimeth, Barbara Anna and Riegler, Stefan and Kalyna, Maria},
  issn         = {1664-462X},
  journal      = {Frontiers in Plant Science},
  publisher    = {Frontiers},
  title        = {{Alternative splicing and DNA damage response in plants}},
  doi          = {10.3389/fpls.2020.00091},
  volume       = {11},
  year         = {2020},
}

@article{7212,
  abstract     = {The fixation probability of a single mutant invading a population of residents is among the most widely-studied quantities in evolutionary dynamics. Amplifiers of natural selection are population structures that increase the fixation probability of advantageous mutants, compared to well-mixed populations. Extensive studies have shown that many amplifiers exist for the Birth-death Moran process, some of them substantially increasing the fixation probability or even guaranteeing fixation in the limit of large population size. On the other hand, no amplifiers are known for the death-Birth Moran process, and computer-assisted exhaustive searches have failed to discover amplification. In this work we resolve this disparity, by showing that any amplification under death-Birth updating is necessarily bounded and transient. Our boundedness result states that even if a population structure does amplify selection, the resulting fixation probability is close to that of the well-mixed population. Our transience result states that for any population structure there exists a threshold r⋆ such that the population structure ceases to amplify selection if the mutant fitness advantage r is larger than r⋆. Finally, we also extend the above results to δ-death-Birth updating, which is a combination of Birth-death and death-Birth updating. On the positive side, we identify population structures that maintain amplification for a wide range of values r and δ. These results demonstrate that amplification of natural selection depends on the specific mechanisms of the evolutionary process.},
  author       = {Tkadlec, Josef and Pavlogiannis, Andreas and Chatterjee, Krishnendu and Nowak, Martin A.},
  issn         = {1553-7358},
  journal      = {PLoS computational biology},
  publisher    = {Public Library of Science},
  title        = {{Limits on amplifiers of natural selection under death-Birth updating}},
  doi          = {10.1371/journal.pcbi.1007494},
  volume       = {16},
  year         = {2020},
}

@article{8384,
  abstract     = {Previous research on animations of soap bubbles, films, and foams largely focuses on the motion and geometric shape of the bubble surface. These works neglect the evolution of the bubble’s thickness, which is normally responsible for visual phenomena like surface vortices, Newton’s interference patterns, capillary waves, and deformation-dependent rupturing of films in a foam. In this paper, we model these natural phenomena by introducing the film thickness as a reduced degree of freedom in the Navier-Stokes equations and deriving their equations of motion. We discretize the equations on a nonmanifold triangle mesh surface and couple it to an existing bubble solver. In doing so, we also introduce an incompressible fluid solver for 2.5D films and a novel advection algorithm for convecting fields across non-manifold surface junctions. Our simulations enhance state-of-the-art bubble solvers with additional effects caused by convection, rippling, draining, and evaporation of the thin film.},
  author       = {Ishida, Sadashige and Synak, Peter and Narita, Fumiya and Hachisuka, Toshiya and Wojtan, Christopher J},
  issn         = {1557-7368},
  journal      = {ACM Transactions on Graphics},
  number       = {4},
  publisher    = {Association for Computing Machinery},
  title        = {{A model for soap film dynamics with evolving thickness}},
  doi          = {10.1145/3386569.3392405},
  volume       = {39},
  year         = {2020},
}

@article{8385,
  abstract     = {We present a method for animating yarn-level cloth effects using a thin-shell solver. We accomplish this through numerical homogenization: we first use a large number of yarn-level simulations to build a model of the potential energy density of the cloth, and then use this energy density function to compute forces in a thin shell simulator. We model several yarn-based materials, including both woven and knitted fabrics. Our model faithfully reproduces expected effects like the stiffness of woven fabrics, and the highly deformable nature and anisotropy of knitted fabrics. Our approach does not require any real-world experiments nor measurements; because the method is based entirely on simulations, it can generate entirely new material models quickly, without the need for testing apparatuses or human intervention. We provide data-driven models of several woven and knitted fabrics, which can be used for efficient simulation with an off-the-shelf cloth solver.},
  author       = {Sperl, Georg and Narain, Rahul and Wojtan, Christopher J},
  issn         = {1557-7368},
  journal      = {ACM Transactions on Graphics},
  number       = {4},
  publisher    = {Association for Computing Machinery},
  title        = {{Homogenized yarn-level cloth}},
  doi          = {10.1145/3386569.3392412},
  volume       = {39},
  year         = {2020},
}

@phdthesis{7196,
  abstract     = {In this thesis we study certain mathematical aspects of evolution. The two primary forces that drive an evolutionary process are mutation and selection. Mutation generates new variants in a population. Selection chooses among the variants depending on the reproductive rates of individuals. Evolutionary processes are intrinsically random – a new mutation that is initially present in the population at low frequency can go extinct, even if it confers a reproductive advantage. The overall rate of evolution is largely determined by two quantities: the probability that an invading advantageous mutation spreads through the population (called fixation probability) and the time until it does so (called fixation time). Both those quantities crucially depend not only on the strength of the invading mutation but also on the population structure. In this thesis, we aim to understand how the underlying population structure affects the overall rate of evolution. Specifically, we study population structures that increase the fixation probability of advantageous mutants (called amplifiers of selection). Broadly speaking, our results are of three different types: We present various strong amplifiers, we identify regimes under which only limited amplification is feasible, and we propose population structures that provide different tradeoffs between high fixation probability and short fixation time.},
  author       = {Tkadlec, Josef},
  issn         = {2663-337X},
  pages        = {144},
  publisher    = {Institute of Science and Technology Austria},
  title        = {{A role of graphs in evolutionary processes}},
  doi          = {10.15479/AT:ISTA:7196},
  year         = {2020},
}