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Nutrition & Dietetics : the Journal of the Dietitians Association of Australia|October 3, 2018
Development and evaluation of a food frequency questionnaire to assess nutrient intakes of adult women in New ZealandKathryn L Beck, Zara L Houston, Sarah A McNaughton, et al.
The Journal of Chemical Physics|December 31, 2020
Full-dimensional, ab initio potential energy surface for glycine with characterization of stationary points and zero-point energy calculations by means of diffusion Monte Carlo and semiclassical dynamicsRiccardo Conte, Paul L Houston, Chen Qu, et al.
The Journal of Physical Chemistry Letters|May 19, 2021
Breaking the Coupled Cluster Barrier for Machine-Learned Potentials of Large Molecules: The Case of 15-Atom AcetylacetoneChen Qu, Paul L Houston, Riccardo Conte, et al.
Bulletin of Prosthetics Research|January 1, 1975
Clinical application study of externally powered upper-limb prosthetics systems: the VA elbow, the VA hand, and the VA/NU myoelectric hand systemsE A Lewis, C R Sheredos, T T Sowell, et al.
Critical Care Medicine|September 20, 1997
Influence of inspired oxygen concentration on deadspace, respiratory drive, and PaCO2 in intubated patients with chronic obstructive pulmonary diseaseD J Crossley, G P McGuire, P M Barrow, et al.
Journal of Nursing Care Quality|October 1, 1994
TQM brings collaboration to patient transport processK L Houston, C Clute, K Ryan-Crepin, et al.
The Journal of Physical Chemistry. A|June 10, 2021
MULTIMODE Calculations of Vibrational Spectroscopy and 1d Interconformer Tunneling Dynamics in Glycine Using a Full-Dimensional Potential Energy SurfaceChen Qu, Paul L Houston, Riccardo Conte, et al.
The Journal of Chemical Physics|November 20, 2004
Quantum yields for product formation in the 120-133 nm photodissociation of O2H M Lambert, A A Dixit, E W Davis, et al.
The Journal of Physical Chemistry Letters|June 4, 2026
VPT2 Calculations of Vibrational Energies of CH3COOC6H4COOH Done in Seconds on a Laptop Using a Machine Learned PotentialSaikiran Kotaru, Chen Qu, Apurba Nandi, et al.
The Journal of Chemical Physics|February 9, 2021
Δ-machine learning for potential energy surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) level of theoryApurba Nandi, Chen Qu, Paul L Houston, et al.
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