@article{1119,
  abstract     = {Understanding the behavior of molecules interacting with superfluid helium represents a formidable challenge and, in general, requires approaches relying on large-scale numerical simulations. Here we demonstrate that experimental data collected over the last 20 years provide evidence that molecules immersed in superfluid helium form recently-predicted angulon quasiparticles [Phys. Rev. Lett. 114, 203001 (2015)]. Most importantly, casting the many-body problem in terms of angulons amounts to a drastic simplification and yields effective molecular moments of inertia as straightforward analytic solutions of a simple microscopic Hamiltonian. The outcome of the angulon theory is in good agreement with experiment for a broad range of molecular impurities, from heavy to medium-mass to light species. These results pave the way to understanding molecular rotation in liquid and crystalline phases in terms of the angulon quasiparticle.},
  author       = {Lemeshko, Mikhail},
  issn         = {00319007},
  journal      = {Physical Review Letters},
  number       = {9},
  publisher    = {American Physical Society},
  title        = {{Quasiparticle approach to molecules interacting with quantum solvents}},
  doi          = {10.1103/PhysRevLett.118.095301},
  volume       = {118},
  year         = {2017},
}

@article{792,
  abstract     = {The chaotic dynamics of low-dimensional systems, such as Lorenz or Rössler flows, is guided by the infinity of periodic orbits embedded in their strange attractors. Whether this is also the case for the infinite-dimensional dynamics of Navier–Stokes equations has long been speculated, and is a topic of ongoing study. Periodic and relative periodic solutions have been shown to be involved in transitions to turbulence. Their relevance to turbulent dynamics – specifically, whether periodic orbits play the same role in high-dimensional nonlinear systems like the Navier–Stokes equations as they do in lower-dimensional systems – is the focus of the present investigation. We perform here a detailed study of pipe flow relative periodic orbits with energies and mean dissipations close to turbulent values. We outline several approaches to reduction of the translational symmetry of the system. We study pipe flow in a minimal computational cell at   Re=2500, and report a library of invariant solutions found with the aid of the method of slices. Detailed study of the unstable manifolds of a sample of these solutions is consistent with the picture that relative periodic orbits are embedded in the chaotic saddle and that they guide the turbulent dynamics.},
  author       = {Budanur, Nazmi B and Short, Kimberly and Farazmand, Mohammad and Willis, Ashley and Cvitanović, Predrag},
  issn         = {00221120},
  journal      = {Journal of Fluid Mechanics},
  pages        = {274 -- 301},
  publisher    = {Cambridge University Press},
  title        = {{Relative periodic orbits form the backbone of turbulent pipe flow}},
  doi          = {10.1017/jfm.2017.699},
  volume       = {833},
  year         = {2017},
}

@inproceedings{2047,
  abstract     = {Following the publication of an attack on genome-wide association studies (GWAS) data proposed by Homer et al., considerable attention has been given to developing methods for releasing GWAS data in a privacy-preserving way. Here, we develop an end-to-end differentially private method for solving regression problems with convex penalty functions and selecting the penalty parameters by cross-validation. In particular, we focus on penalized logistic regression with elastic-net regularization, a method widely used to in GWAS analyses to identify disease-causing genes. We show how a differentially private procedure for penalized logistic regression with elastic-net regularization can be applied to the analysis of GWAS data and evaluate our method’s performance.},
  author       = {Yu, Fei and Rybar, Michal and Uhler, Caroline and Fienberg, Stephen},
  booktitle    = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  editor       = {Domingo Ferrer, Josep},
  location     = {Ibiza, Spain},
  pages        = {170 -- 184},
  publisher    = {Springer},
  title        = {{Differentially-private logistic regression for detecting multiple-SNP association in GWAS databases}},
  doi          = {10.1007/978-3-319-11257-2_14},
  volume       = {8744},
  year         = {2014},
}

@inproceedings{2058,
  abstract     = {We present a method for smoothly blending between existing liquid animations. We introduce a semi-automatic method for matching two existing liquid animations, which we use to create new fluid motion that plausibly interpolates the input. Our contributions include a new space-time non-rigid iterative closest point algorithm that incorporates user guidance, a subsampling technique for efficient registration of meshes with millions of vertices, and a fast surface extraction algorithm that produces 3D triangle meshes from a 4D space-time surface. Our technique can be used to instantly create hundreds of new simulations, or to interactively explore complex parameter spaces. Our method is guaranteed to produce output that does not deviate from the input animations, and it generalizes to multiple dimensions. Because our method runs at interactive rates after the initial precomputation step, it has potential applications in games and training simulations.},
  author       = {Raveendran, Karthik and Wojtan, Christopher J and Thuerey, Nils and Türk, Greg},
  booktitle    = {ACM Transactions on Graphics},
  location     = {Vancouver, Canada},
  number       = {4},
  publisher    = {ACM},
  title        = {{Blending liquids}},
  doi          = {10.1145/2601097.2601126},
  volume       = {33},
  year         = {2014},
}