A5087855826- Neutrino Physics Research
- Gamma-ray bursts and supernovae
- Astrophysics and Cosmic Phenomena
- Magnetic confinement fusion research
- Advanced Materials Characterization Techniques
- Machine Learning in Materials Science
- Parallel Computing and Optimization Techniques
- Ionosphere and magnetosphere dynamics
- Superconducting Materials and Applications
- Pulsars and Gravitational Waves Research
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Solar and Space Plasma Dynamics
- Genomics and Phylogenetic Studies
- Electron and X-Ray Spectroscopy Techniques
- Microbial Community Ecology and Physiology
- Ion-surface interactions and analysis
- Particle accelerators and beam dynamics
- Advanced Electron Microscopy Techniques and Applications
- Nuclear reactor physics and engineering
- Geomagnetism and Paleomagnetism Studies
- Advanced Chemical Physics Studies
- Geophysics and Gravity Measurements
- Nuclear physics research studies
- Scientific Computing and Data Management
Max Planck Computing and Data Facility
2016-2025
Max Planck Society
2011-2021
Commonwealth Scientific and Industrial Research Organisation
2020
University of Cambridge
2020
Massey University
2020
University of Waterloo
2020
Data61
2020
The Dodd-Walls Centre for Photonic and Quantum Technologies
2020
University of Iowa
2020
King's College London
2020
We sequenced 28 million base pairs of DNA in a metagenomics approach, using woolly mammoth (Mammuthus primigenius) sample from Siberia. As result exceptional preservation and the use recently developed emulsion polymerase chain reaction pyrosequencing technique, 13 (45.4%) sequencing reads were identified as DNA. Sequence identity between our data African elephant (Loxodonta africana) was 98.55%, consistent with paleontologically based divergence date 5 to 6 years. The includes surprisingly...
Supernova models with a full spectral treatment of the neutrino transport are presented, employing prometheus/vertex neutrino-hydrodynamics code variable Eddington factor closure moments equations number, energy, and momentum. Our "ray-by-ray plus" approximation developed for two- (or three-) dimensional problems assumes that local distribution function is azimuthally symmetric around radial direction, which implies nonradial flux components disappear. Other terms containing angular velocity...
Several organisms have retained methyltransferase 2 (Dnmt2) as their only candidate DNA gene. However, information about Dnmt2-dependent methylation patterns has been limited to a few isolated loci and the results discussed controversially. In addition, recent studies shown that Dnmt2 functions tRNA methyltransferase, which raised possibility Dnmt2-only genomes might be unmethylated. We now used whole-genome bisulfite sequencing analyze methylomes of at single-base resolution. Our show...
Over the last few years, extraordinary advances in experimental and theoretical tools have allowed us to monitor control matter at short time atomic scales with a high degree of precision. An appealing challenging route toward engineering materials tailored properties is find ways design or selectively manipulate materials, especially quantum level. To this end, having state-of-the-art ab initio computer simulation tool that enables reliable accurate light-induced changes physical chemical...
Neutrino transport and neutrino interactions in dense matter play a crucial role stellar core collapse, supernova explosions neutron star formation. Here we present detailed description of new numerical code for treating the time energy dependent hydrodynamical simulations such events. The is based on variable Eddington factor method to deal with integro-differential character Boltzmann equation. moments distribution function lepton number exchange medium are determined by iteratively...
Accurate neutrino transport has been built into spherically symmetric simulations of stellar core collapse and postbounce evolution. The results such agree that models with standard microphysical input fail to explode by the delayed, neutrino-driven mechanism. Independent groups implemented fundamentally different numerical methods tackle Boltzmann equation. Here we present a direct detailed comparison radiation-hydrodynamics for two codes, AGILE-BOLTZTRAN Oak Ridge-Basel group VERTEX...
Two-dimensional hydrodynamic simulations of stellar core collapse are presented which for the first time were performed by solving Boltzmann equation neutrino transport including a state-of-the-art description interactions. Stellar rotation is also taken into account. Although convection develops below neutrinosphere and in neutrino-heated region behind supernova shock, models do not explode. This suggests missing physics, possibly with respect to nuclear state weak interactions subnuclear...
The square halophilic archaeon Haloquadratum walsbyi dominates NaCl-saturated and MgCl2 enriched aquatic ecosystems, which imposes a serious desiccation stress, caused by the extremely low water activity. genome sequence was analyzed physiological physical experiments were carried out in order to reveal how H. has specialized into its narrow hostile ecological niche found ways cope with stress. A rich repertoire of proteins involved phosphate metabolism, phototrophic growth extracellular...
1D and 2D supernova simulations for stars between 11 25 solar masses are presented, making use of the Prometheus/Vertex neutrino-hydrodynamics code, which employs a full spectral treatment neutrino transport. Multi-dimensional transport aspects treated by ``ray-by-ray plus'' approximation described in Paper I. Our set models includes calculation 15 mass star whose iron core is assumed to rotate rigidly with an angular frequency 0.5 rad/s before collapse. No important differences were found...
Supernova simulations to date have assumed that during core collapse electron captures occur dominantly on free protons, while heavy nuclei are Pauli blocked and ignored. We calculated rates for capture with mass numbers A=65-112 the temperatures densities appropriate collapse. find these large enough so that, in contrast previous assumptions, dominates over protons. This leads significant changes simulations.
We present a spherically symmetric, Newtonian core collapse simulation of 15 M☉ star with 1.28 iron core. The time-, energy-, and angle-dependent transport electron neutrinos (νe) antineutrinos (e) was treated new code that iteratively solves the Boltzmann equation equations for neutrino number, energy, momentum to order O(v/c) in velocity v stellar medium. supernova shock expands maximum radius 350 km instead only ~240 as comparable calculation multigroup flux-limited diffusion (MGFLD) by...
Summary The halophilic γ‐proteobacterium Halomonas elongata DSM 2581 T thrives at high salinity by synthesizing and accumulating the compatible solute ectoine. Ectoine levels are highly regulated according to external salt but overall picture of its metabolism control is not well understood. Apart from critical role in cell adaptation environments, ectoine can be used as a stabilizer for enzymes protectant skin health care applications thus produced annually on scale tons an industrial...
Background Haloquadratum walsbyi commonly dominates the microbial flora of hypersaline waters. Its cells are extremely fragile squares requiring >14%(w/v) salt for growth, properties that should limit its dispersal and promote geographical isolation divergence. To assess this, genome sequences two isolates recovered from sites at near maximum distance on Earth, were compared. Principal Findings Both chromosomes 3.1 MB in size, 84% each sequence was highly similar to other (98.6% identity),...
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, method based on stochastic application Hamiltonian matrix sparse sampling wave function. The program utilizes very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe core functionalities NECI its recent developments. This includes capabilities calculate ground excited state energies,...
Chemical short-range order (CSRO) refers to atoms of specific elements self-organising within a disordered crystalline matrix form particular atomic neighbourhoods. CSRO is typically characterized indirectly, using volume-averaged or through projection microscopy techniques that fail capture the three-dimensional atomistic architectures. Here, we present machine-learning enhanced approach break inherent resolution limits atom probe tomography enabling imaging multiple CSROs. We showcase our...
Hybrid density functional approximations (DFAs) offer compelling accuracy for ab initio electronic-structure simulations of molecules, nanosystems, and bulk materials, addressing some deficiencies computationally cheaper, frequently used semilocal DFAs. However, the computational bottleneck hybrid DFAs is evaluation non-local exact exchange contribution, which limiting factor application method large-scale simulations. In this work, we present a drastically optimized...
Abstract Science is and always has been based on data, but the terms ‘data-centric’ ‘4th paradigm’ of materials research indicate a radical change in how information retrieved, handled performed. It signifies transformative shift towards managing vast data collections, digital repositories, innovative analytics methods. The integration artificial intelligence its subset machine learning, become pivotal addressing all these challenges. This Roadmap Data-Centric Materials explores fundamental...
We have computed the gravitational wave signal from supernova core collapse by using most realistic input physics available at present. start state-of-the-art progenitor models of rotating and nonrotating massive stars simulate dynamics their integrating equations axisymmetric hydrodynamics, together with Boltzmann equation for neutrino transport, including an elaborate description interactions, a state. Using Einstein quadrupole formula we compute amplitudes, Fourier spectra, amount energy...
One of the robust features found in simulations core-collapse supernovae (SNe) is prompt neutronization burst, i.e., first $\ensuremath{\sim}25$ milliseconds after bounce when SN emits with very high luminosity mainly ${\ensuremath{\nu}}_{e}$ neutrinos. We examine dependence this burst on variations input current models and find that recent improvements electron capture rates as well uncertainties nuclear equation state or a variation progenitor mass have only little effect signature peak...
HaloLex is a software system for the central management, integration, curation, and web-based visualization of genomic other -omics data any given microorganism. The has been employed manual curation three haloarchaeal genomes, namely Halobacterium salinarum (strain R1), Natronomonas pharaonis, Haloquadratum walsbyi. HaloLex, in particular, enables integrated analysis genome-wide proteomic results with underlying data. This proven indispensable to generate reliable gene predictions GC-rich...
A tokamak equilibrium reconstruction can benefit much from internal measurements of the current distribution. If lacking robust measurements, will be ill posed in plasma core, not allowing for a sensible estimation Such deficiencies compensated by modeling distribution evolution employing diffusion equation between successive equilibria. scheme coupling predictive with an inverse Grad-Shafranov solver minimizing least-squares criterion on measured and modeled data is proposed. The intended...
We present an all-electron, periodic ${G}_{\text{0}}{W}_{\text{0}}$ implementation within the numerical atomic orbital (NAO) basis framework. A localized variant of resolution-of-the-identity (RI) approximation is employed to significantly reduce computational cost evaluating and storing two-electron Coulomb repulsion integrals. demonstrate that error arising from RI can be reduced insignificant level by enhancing set auxiliary functions, used expand products two single-particle NAOs. An...
Abstract In solids, chemical short‐range order (CSRO) refers to the self‐organization of atoms certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a lever tailor mechanical and functional properties materials. Yet quantitative relationships between morphology, number density, atomic configurations domains remain elusive. Herein, it showcased how machine learning‐enhanced atom probe tomography (APT) can mine near‐atomically resolved APT data jointly...