Calculations of electron scattering on H-like ions

Electron-impact excitation and ionization of H-like ions of nuclear charge Z = 2,..., 8 have been calculated from thresholds to high energies, with a particular focus on spin asymmetry of the cross sections. It is found that the importance of electron exchange is undiminished with increasing Z. Away from resonance regions, scaling considerations allow for accurate nonrelativistic estimates of the total-electron-spin-dependent cross sections for Z > 8.We acknowledge the Australian Research Council, and the resources and services of the National Computational Infrastructure and the Pawsey Supercomputer Centre, which are supported by the Australian and Western Australian Governments. This work also used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant No. ACI-1548562

Artificial Intelligence and Intellectual Property

On December 9, 2020, Catholic Law and its partner, Jagiellonian University in Kraków, Poland, concluded the fall lineup of events in the Contemporary Challenges in American & Global Law webinar series. Professor Emerita Leah Wortham, Director of the American Law Program and the LL.M. program, has led the series and once again acted as moderator for the discussion. This week’s webinar focused on Artificial Intelligence and Intellectual Property. Megan La Belle, Professor of Law and Co-Director of Catholic Law’s Law and Technology Institute (LTI), provided opening remarks, and comments were made by Tytus Cytowski (IBTSLP 2001), founding partner of Cytowski & Partners in New York City, New York

Artificial Intelligence and Intellectual Property

On December 9, 2020, Catholic Law and its partner, Jagiellonian University in Kraków, Poland, concluded the fall lineup of events in the Contemporary Challenges in American & Global Law webinar series. Professor Emerita Leah Wortham, Director of the American Law Program and the LL.M. program, has led the series and once again acted as moderator for the discussion. This week’s webinar focused on Artificial Intelligence and Intellectual Property. Megan La Belle, Professor of Law and Co-Director of Catholic Law’s Law and Technology Institute (LTI), provided opening remarks, and comments were made by Tytus Cytowski (IBTSLP 2001), founding partner of Cytowski & Partners in New York City, New York

The Copernicus Complexio: a high-resolution view of the small-scale Universe

We introduce Copernicus Complexio (COCO), a high-resolution cosmological N-body simulation of structure formation in the ΛCDM model. COCO follows an approximately spherical region of radius ∼17.4 h−1 Mpc embedded in a much larger periodic cube that is followed at lower resolution. The high-resolution volume has a particle mass of 1.135 × 105 h−1 M⊙ (60 times higher than the Millennium-II simulation). COCO gives the dark matter halo mass function over eight orders of magnitude in halo mass; it forms ∼60 haloes of galactic size, each resolved with about 10 million particles. We confirm the power-law character of the subhalo mass function, , down to a reduced subhalo mass Msub/M200 ≡ μ = 10−6, with a best-fitting power-law index, s = 0.94, for hosts of mass 〈M200〉 = 1012 h−1 M⊙. The concentration–mass relation of COCO haloes deviates from a single power law for masses M200 < afew × 108 h−1 M⊙, where it flattens, in agreement with results by Sanchez-Conde et al. The host mass invariance of the reduced maximum circular velocity function of subhaloes, ν ≡ Vmax/V200, hinted at in previous simulations, is clearly demonstrated over five orders of magnitude in host mass. Similarly, we find that the average, normalized radial distribution of subhaloes is approximately universal (i.e. independent of subhalo mass), as previously suggested by the Aquarius simulations of individual haloes. Finally, we find that at fixed physical subhalo size, subhaloes in lower mass hosts typically have lower central densities than those in higher mass hosts

Parallel performance analysis of bacterial biofilm simulation models

Modelling and simulation of bacterial biofilms is a computationally expen-sive process necessitating use of parallel computing. Fluid dynamics and ad-vection-consumption models can be decoupled and solved to handle the flu-id-solute-bacterial interactions. Data exchange between the two processes add up to the communication overheads. The heterogenous distribution of bacteria within the simulation domain further leads to non-uniform load dis-tribution in the parallel system. We study the effect of load imbalance and communication overheads on the overall performance of simulation at dif-ferent stages of biofilm growth. We develop a model to optimize the parallel-ization procedure for computing the growth dynamics of bacterial biofilms.Accepted versio