251 research outputs found
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Benchmark of Simplified Time-Dependent Density Functional Theory for UVâVis Spectral Properties of Porphyrinoids
Time-dependent density functional theory is thoroughly benchmarked for the predictive calculation of UVâvis spectra of porphyrin derivatives. With the aim to provide an approach that is computationally feasible for large-scale applications such as biological systems or molecular framework materials, albeit performing with high accuracy for the Q-bands, the results given by various computational protocols, including basis sets, density-functionals (including gradient corrected local functionals, hybrids, double hybrids and range-separated functionals), and various variants of time-dependent density functional theory, including the simplified TammâDancoff approximation, are compared. An excellent choice for these calculations is the range-separated functional CAM-B3LYP in combination with the simplified TammâDancoff approximation and a basis set of double-ζ quality def2-SVP (mean absolute error [MAE] of â0.05 eV). This is not surpassed by more expensive approaches, not even by double hybrid functionals, and solely systematic excitation energy scaling slightly improves the results (MAE â0.04 eV)
Locating disparities in machine learning
Machine learning can provide predictions with disparate outcomes, in which
subgroups of the population (e.g., defined by age, gender, or other sensitive
attributes) are systematically disadvantaged. In order to comply with upcoming
legislation, practitioners need to locate such disparate outcomes. However,
previous literature typically detects disparities through statistical
procedures for when the sensitive attribute is specified a priori. This limits
applicability in real-world settings where datasets are high dimensional and,
on top of that, sensitive attributes may be unknown. As a remedy, we propose a
data-driven framework called Automatic Location of Disparities (ALD) which aims
at locating disparities in machine learning. ALD meets several demands from
industry: ALD (1) is applicable to arbitrary machine learning classifiers; (2)
operates on different definitions of disparities (e.g., statistical parity or
equalized odds); and (3) deals with both categorical and continuous predictors
even if disparities arise from complex and multi-way interactions known as
intersectionality (e. g., age above 60 and female). ALD produces interpretable
audit reports as output. We demonstrate the effectiveness of ALD based on both
synthetic and real-world datasets. As a result, we empower practitioners to
effectively locate and mitigate disparities in machine learning algorithms,
conduct algorithmic audits, and protect individuals from discrimination
Quantum Instability of the Cauchy Horizon in Reissner-Nordstr\"om-deSitter Spacetime
In classical General Relativity, the values of fields on spacetime are
uniquely determined by their values at an initial time within the domain of
dependence of this initial data surface. However, it may occur that the
spacetime under consideration extends beyond this domain of dependence, and
fields, therefore, are not entirely determined by their initial data. This
occurs, for example, in the well-known (maximally) extended
Reissner-Nordstr\"om or Reissner-Nordstr\"om-deSitter (RNdS) spacetimes. The
boundary of the region determined by the initial data is called the "Cauchy
horizon." It is located inside the black hole in these spacetimes. The strong
cosmic censorship conjecture asserts that the Cauchy horizon does not, in fact,
exist in practice because the slightest perturbation (of the metric itself or
the matter fields) will become singular there in a sufficiently catastrophic
way that solutions cannot be extended beyond the Cauchy horizon. Thus, if
strong cosmic censorship holds, the Cauchy horizon will be converted into a
"final singularity," and determinism will hold. Recently, however, it has been
found that, classically this is not the case in RNdS spacetimes in a certain
range of mass, charge, and cosmological constant. In this paper, we consider a
quantum scalar field in RNdS spacetime and show that quantum theory comes to
the rescue of strong cosmic censorship. We find that for any state that is
nonsingular (i.e., Hadamard) within the domain of dependence, the expected
stress-tensor blows up with affine parameter, , along a radial null geodesic
transverse to the Cauchy horizon as with independent of
the state and generically in RNdS spacetimes. This divergence is
stronger than in the classical theory and should be sufficient to convert the
Cauchy horizon into a strong curvature singularity.Comment: 50 pages, abstract truncated due to arXiv length restriction. v2:
minor correction
Quantum instability of the Cauchy horizon in ReissnerâNordströmâdeSitter spacetime
In classical general relativity, the values of elds on spacetime are uniquely
determined by their values at an initial time within the domain of dependence of this initial data surface. However, it may occur that the spacetime
under consideration extends beyond this domain of dependence, and elds,
therefore, are not entirely determined by their initial data. This occurs, for
example, in the well-known (maximally) extended ReissnerâNordström or
ReissnerâNordströmâdeSitter (RNdS) spacetimes. The boundary of the region
determined by the initial data is called the âCauchy horizon.â It is located inside
the black hole in these spacetimes. The strong cosmic censorship conjecture
asserts that the Cauchy horizon does not, in fact, exist in practice because the
slightest perturbation (of the metric itself or the matter elds) will become singular there in a sufciently catastrophic way that solutions cannot be extended
beyond the Cauchy horizon. Thus, if strong cosmic censorship holds, the
Cauchy horizon will be converted into a ânal singularity,â and determinism
will hold. Recently, however, it has been found that, classically this is not the
case in RNdS spacetimes in a certain range of mass, charge, and cosmological
constant. In this paper, we consider a quantum scalar eld in RNdS spacetime
and show that quantum theory comes to the rescue of strong cosmic censorship.
We nd that for any state that is nonsingular (i.e., Hadamard) within the domain
of dependence, the expected stress-tensor blows up with afne parameter, V,
along a radial null geodesic transverse to the Cauchy horizon as TVV ⌠C/V
2 with C independent of the state and C 6= 0 generically in RNdS spacetimes.
This divergence is stronger than in the classical theory and should be sufcient
to convert the Cauchy horizon into a singularity through which the spacetime
cannot be extended as a (weak) solution of the semiclassical Einstein equation.
This behavior is expected to be quite general, although it is possible to have
C = 0 in certain special cases, such as the BTZ black hol
The Cost of Fairness in AI: Evidence from E-Commerce
Contemporary information systems make widespread use of artificial intelligence (AI). While AI offers various benefits, it can also be subject to systematic errors, whereby people from certain groups (defined by gender, age, or other sensitive attributes) experience disparate outcomes. In many AI applications, disparate outcomes confront businesses and organizations with legal and reputational risks. To address these, technologies for so-called âAI fairnessâ have been developed, by which AI is adapted such that mathematical constraints for fairness are fulfilled. However, the financial costs of AI fairness are unclear. Therefore, the authors develop AI fairness for a real-world use case from e-commerce, where coupons are allocated according to clickstream sessions. In their setting, the authors find that AI fairness successfully manages to adhere to fairness requirements, while reducing the overall prediction performance only slightly. However, they find that AI fairness also results in an increase in financial cost. Thus, in this way the paperâs findings contribute to designing information systems on the basis of AI fairness
Datenmanagement im Rahmen eines Transregios an der UniversitĂ€t Leipzig, der TU Chemnitz und dem Leibniz Institut fĂŒr OberflĂ€chenmodifizierung e.V. (IOM)
Posterbeitrag, welcher das Datenmanagement im Rahmen eines geplanten Transregios zwischen der UniversitĂ€t Leipzig, der TU Chemnitz und des Leibniz Instituts fĂŒr OberflĂ€chenmodifizierung skizziert
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Studying hydrogen bonding and dynamics of the acetylate groups of the Special Pair of Rhodobacter sphaeroides WT
Although the cofactors in the bacterial reaction centre of Rhodobacter sphaeroides wild type (WT) are arranged almost symmetrically in two branches, the light-induced electron transfer occurs selectively in one branch. As origin of this functional symmetry break, a hydrogen bond between the acetyl group of PL in the primary donor and His-L168 has been discussed. In this study, we investigate the existence and rigidity of this hydrogen bond with solid-state photo-CIDNP MAS NMR methods offering information on the local electronic structure due to highly sensitive and selective NMR experiments. On the time scale of the experiment, the hydrogen bond between PL and His-L168 appears to be stable and not to be affected by illumination confirming a structural asymmetry within the Special Pair
Recommended from our members
Studying hydrogen bonding and dynamics of the acetylate groups of the Special Pair of Rhodobacter sphaeroides WT
Although the cofactors in the bacterial reaction centre of Rhodobacter sphaeroides wild type (WT) are arranged almost symmetrically in two branches, the light-induced electron transfer occurs selectively in one branch. As origin of this functional symmetry break, a hydrogen bond between the acetyl group of PL in the primary donor and His-L168 has been discussed. In this study, we investigate the existence and rigidity of this hydrogen bond with solid-state photo-CIDNP MAS NMR methods offering information on the local electronic structure due to highly sensitive and selective NMR experiments. On the time scale of the experiment, the hydrogen bond between PL and His-L168 appears to be stable and not to be affected by illumination confirming a structural asymmetry within the Special Pair
Theory of real space imaging of Fermi surfaces
A scanning tunneling microscope can be used to visualize in real space Fermi
surfaces with buried impurities far below substrates acting as local probes. A
theory describing this feature is developed based on the stationary phase
approximation. It is demonstrated how a Fermi surface of a material acts as a
mirror focusing electrons that scatter at hidden impurities.Comment: 10 pages, 4 figure
Imaging the Cosmic Matter Distribution using Gravitational Lensing of Pregalactic HI
21-cm emission from neutral hydrogen during and before the epoch of cosmic
reionisation is gravitationally lensed by material at all lower redshifts.
Low-frequency radio observations of this emission can be used to reconstruct
the projected mass distribution of foreground material, both light and dark. We
compare the potential imaging capabilities of such 21-cm lensing with those of
future galaxy lensing surveys. We use the Millennium Simulation to simulate
large-area maps of the lensing convergence with the noise, resolution and
redshift-weighting achievable with a variety of idealised observation
programmes. We find that the signal-to-noise of 21-cm lens maps can far exceed
that of any map made using galaxy lensing. If the irreducible noise limit can
be reached with a sufficiently large radio telescope, the projected convergence
map provides a high-fidelity image of the true matter distribution, allowing
the dark matter halos of individual galaxies to be viewed directly, and giving
a wealth of statistical and morphological information about the relative
distributions of mass and light. For instrumental designs like that planned for
the Square Kilometer Array (SKA), high-fidelity mass imaging may be possible
near the resolution limit of the core array of the telescope.Comment: version accepted for publication in MNRAS (reduced-resolution
figures
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