Publications by authors named "T G Weidner"

Scaling of steel surfaces, prevalent in various industrial applications, results in significant operational inefficiencies and maintenance costs. Inspired by the natural hydrophobicity of springtail (Collembola) skin, which employs micro- and nanostructures to repel water, we investigate the application of silicone nanofilaments (SNFs) as a coating on steel surfaces to mitigate scaling. Silicone nanofilaments, previously successful on polymers, textiles, and glass, are explored for their hydrophobic properties and stability on steel.

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The attachment of seeds to natural surfaces is important for the reproductive success of plants. This study investigates the adhesion mechanisms of seed mucilage to CaF and polystyrene surfaces, using sum frequency generation (SFG) vibrational spectroscopy and pull-off force measurements. The results show that the adhesion is driven by the formation of crystalline cellulose at the interface.

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Article Synopsis
  • Historical building maintenance data was collected from twelve universities in the U.S. and Canada from 2002 to 2021, focusing on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM).
  • The data was organized using the Facility Management Unified Classification Code (FMUCO) to classify various aspects of building maintenance.
  • The dataset includes nine attribute groups, aiming to offer insights into the current state of building management and support data-driven analyses in facility management.
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Lysine-leucine (LK) peptides have been used as model systems and platforms for 2D material design for decades. LK peptides are amphiphilic sequences designed to bind and fold at hydrophobic surfaces through hydrophobic leucine side chains and hydrophilic lysine side chains extending into the aqueous subphase. The hydrophobic periodicity of the sequence dictates the secondary structure at the interface.

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The development of methods that allow a structural interpretation of linear and nonlinear vibrational spectra is of great importance, both for spectroscopy and for optimizing force field quality. The experimentally measured signals are ensemble averages over all accessible configurations, which complicates spectral calculations. To account for this, we present a recipe for calculating vibrational amide-I spectra of proteins based on metadynamics molecular dynamics simulations.

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