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Creators/Authors contains: "Ahmad, A."

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  1. ; ; ( , Energy & Fuels)
    Free, publicly-accessible full text available December 2, 2022
  2. ; ; ; ; ; ( , The Journal of Physical Chemistry C)
    Free, publicly-accessible full text available September 23, 2022
  3. ; ; ; ; ; ; ; ; ; ; et al ( , Journal of Chemical Education)
    Free, publicly-accessible full text available October 12, 2022
  4. ; ; ; ; ; ( , ACS Sustainable Chemistry & Engineering)
    Free, publicly-accessible full text available July 12, 2022
  5. ; ; ; ; ; ; ; ; ( , Scientific Reports)
    Abstract Autonomic nerves convey essential neural signals that regulate vital body functions. Recording clearly distinctive physiological neural signals from autonomic nerves will help develop new treatments for restoring regulatory functions. However, this is very challenging due to the small nature of autonomic nerves and the low-amplitude signals from their small axons. We developed a multi-channel, high-density, intraneural carbon fiber microelectrode array (CFMA) with ultra-small electrodes (8–9 µm in diameter, 150–250 µm in length) for recording physiological action potentials from small autonomic nerves. In this study, we inserted CFMA with up to 16 recording carbon fibers in the cervical vagus nerve of 22more »isoflurane-anesthetized rats. We recorded action potentials with peak-to-peak amplitudes of 15.1–91.7 µV and signal-to-noise ratios of 2.0–8.3 on multiple carbon fibers per experiment, determined conduction velocities of some vagal signals in the afferent (0.7–4.4 m/s) and efferent (0.7–8.8 m/s) directions, and monitored firing rate changes in breathing and blood glucose modulated conditions. Overall, these experiments demonstrated that CFMA is a novel interface for in-vivo intraneural action potential recordings. This work is considerable progress towards the comprehensive understanding of physiological neural signaling in vital regulatory functions controlled by autonomic nerves.« less
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  6. ; ; ; ; ; ; ( , Physical Review B)
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  7. ; ; ; ( , Conference on Empirical Methods in Natural Language Processing)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; ; ; ; ; ; et al ( , Computing and Software for Big Science)
    Abstract The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hardmore »scatter, and stored as combined events. Consequently, for each hard-scatter interaction, only one such presampled event needs to be added as part of the simulation chain. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy.« less
    Free, publicly-accessible full text available December 1, 2023
  9. ; ; ; ; ; ( , European Journal of Organic Chemistry)
    Full Text Available 
  10. ; ; ; ( , Frontiers in Optics and Laser Science, OSA Annual Meeting)
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