4 Works

Neutron study of the topological flux model of hydrogen ions in water ice

J.-U. Hoffmann, K. Siemensmeyer, S. Isakov, D. J. P. Morris, B. Klemke, I. Glavatskyi, K. Seiffert, D. A. Tennant, S. Sondhi & R. Moessner
The familiarity of water ice means we often overlook its non-trivial character illustrated, for example, by the many snowflake morphologies resulting from disordered combinations of covalent and hydrogen bonds between hydrogen and oxygen atoms in water ice’s most common phase (Ih) that keep the H_2 O molecular character. Using neutron diffraction on the flat-cone diffractometer E2 at BER-II, Helmholtz-Zentrum Berlin, we probe the atomic scale configuration in the Ih phase of water ice to test...

Data from: Diel rewiring and positive selection of ancient plant proteins enabled evolution of CAM photosynthesis in Agave

Hengfu Yin, Hao-Bo Guo, David J. Weston, Anne M. Borland, Priya Ranjan, Paul E. Abraham, Sara S. Jawdy, James Wachira, Gerald A. Tuskan, Timothy J. Tschaplinski, Stan D. Wullschleger, Hong Guo, Robert L. Hettich, Stephen Gross, Zhong Wang, Axel Visel & Xiaohan Yang
Background: Crassulacean acid metabolism (CAM) enhances plant water-use efficiency through an inverse day/night pattern of stomatal closure/opening that facilitates nocturnal CO2 uptake. CAM has evolved independently in over 35 plant lineages, accounting for ~ 6% of all higher plants. Agave species are highly heat- and drought-tolerant, and have been domesticated as model CAM crops for beverage, fiber, and biofuel production in semi-arid and arid regions. However, the genomic basis of evolutionary innovation of CAM in...

Temperature-Dependent Dynamics of Molecular Dopant in Conjugated Polymer

Jun Li, Tucker Murrey, Souleymane Diallo & Adam Moule
Understanding the nature of dopant dynamics in the solid state is critical for improving the longevity and stability of organic electronic devices and for optimizing the dopinginduced solubility control (DISC) patterning method. In this work, we use quasi-elastic neutron scattering (QENS) to study the dynamics of the soluble p-type molecular dopant tetrafluoromethyloxycarbonyltricyanoquinodimethane (F4MCTCNQ) in the semiconductive polymer poly(3-hexylthiophene-2,5-diyl) (P3HT). Specifically, fast dynamics (ps−ns) of the dopant, such as the methyl and the methoxycarbonyl group rotations,...

Data from: Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems

Heidi Asbjornsen, John L. Campbell, Katie A. Jennings, Matthew A. Vadeboncoeur, Cameron McIntire, Pamela H. Templer, Richard P. Phillips, Taryn L. Bauerle, Michael C. Dietze, Serita D. Frey, Peter M. Groffman, Rosella Guerrieri, Paul J. Hanson, Eric P. Kelsey, Alan K. Knapp, Nathan G. McDowell, Patrick Meir, Kimberly A. Novick, Scott V. Ollinger, Will T. Pockman, Paul G. Schaberg, Stan D. Wullschleger, Melinda D. Smith & Lindsey E. Rustad
1. Context. Precipitation regimes are changing in response to climate change, yet understanding of how forest ecosystems respond to extreme droughts and pluvials remains incomplete. As future precipitation extremes will likely fall outside the range of historical variability, precipitation manipulation experiments (PMEs) are critical to advancing knowledge about potential ecosystem responses. However, few PMEs have been conducted in forests compared to short-statured ecosystems, and forest PMEs have unique design requirements and constraints. Moreover, past forest...

Registration Year

  • 2018
    4

Resource Types

  • Dataset
    4

Affiliations

  • Oak Ridge National Laboratory
    3
  • Xavier University, Department of Physics, 3800 Victory Parkway, Cincinnati, OH 45207, USA
    1
  • Plymouth State University
    1
  • Dept. of Physics, Princeton University, Washington Road, Princeton, NJ 08544, USA
    1
  • Google Inc., Brandschenkestrasse 110, 8002 Zürich, Switzerland
    1
  • Morgan State University
    1
  • Northern Research Station
    1
  • Australian National University
    1
  • Max-Planck-Institut für Physik komplexer Systeme, Nöthnitzer Straße 38, 01187 Dresden, Germany
    1
  • University of Edinburgh
    1