1997
DOI: 10.1063/1.473893
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Time domain modeling of spectral collapse in high density molecular gases

Abstract: In many cases, the widely used matrix inversion approach to describe the spectral interference in collisionally perturbed molecular spectra is not feasible if the particular molecular interactions do not allow the sudden impact approximation (infinitely short collision duration). To overcome this problem, we present a time domain model that describes collisional broadening and narrowing phenomena without requiring the sudden approximation. The key element of the model is a Monte Carlo type sampling process to … Show more

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Cited by 22 publications
(8 citation statements)
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“…Alternatively, more frequent charging may also be facilitated by en-route inductive charging, possibly even between vehicles [39]. Understanding the charging frequency and effective average range of such vehicle fleets would require e.g., agent-based models [40][41][42] that capture interaction of driving patterns of individual vehicles rather than only that of each vehicle separately [43][44][45][46][47]. However, as discussed in SD, details and model approximations in our framework have been chosen to somewhat underestimate GHG associated with driving on electricity relative to liquid fuel.…”
Section: Limitations Of Framework and Future Workmentioning
confidence: 99%
“…Alternatively, more frequent charging may also be facilitated by en-route inductive charging, possibly even between vehicles [39]. Understanding the charging frequency and effective average range of such vehicle fleets would require e.g., agent-based models [40][41][42] that capture interaction of driving patterns of individual vehicles rather than only that of each vehicle separately [43][44][45][46][47]. However, as discussed in SD, details and model approximations in our framework have been chosen to somewhat underestimate GHG associated with driving on electricity relative to liquid fuel.…”
Section: Limitations Of Framework and Future Workmentioning
confidence: 99%
“…1. Many studies have been devoted to mixtures involving CO 2 with a few for the pure gas in the infrared at high pressure [12][13][14][15][16][17] and Raman Q branches. [4][5][6][18][19][20] Let us mention at this step that all LM models proposed up to now 1 are partly empirical and that ab initio predictions starting from the intermolecular potential have not yet been made.…”
Section: Introductionmentioning
confidence: 99%
“…Residential demand profiles used in this work are simulated by an agent-based, appliance-level demand model in the time domain [30][31][32][33][34], details of which are described in [21]. Briefly, the model aggregates stochastically generated individual appliance demand profiles to generate an aggregate household demand profile at one minute resolution.…”
Section: Appliance-level Demand Modelmentioning
confidence: 99%