Results 211 to 220 of about 40,388 (276)
Fortschritte der Physik, Volume 74, Issue 4, April 2026.Abstract String theory has strong implications for cosmology, implying the absence of a cosmological constant, ruling out single‐field slow‐roll inflation, and that black holes decay. The origins of these statements are elucidated within the string‐theoretical swampland programme.
Kay Lehnert
wiley +1 more source
Mass-zero constrained molecular dynamics for electrostatic interactions. [PDF]
J Chem PhysTroni F +4 more
europepmc +1 more source
Testing Hypotheses of Covariate Effects on Topics of Discourse
Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 2, April 2026.ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley +1 more source
Noise in Maps of the Sun at Radio Wavelengths II: Solar Use Cases. [PDF]
Sol PhysBastian T +3 more
europepmc +1 more source
Fault Friction, Plate Rheology, and Mantle Torques From a Global Dynamic Model of Neotectonics
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.Abstract Improvements in software, parallel computing, global data sets, and laboratory flow‐laws help to develop the global Earth5 thin‐shell finite‐element model of Bird et al. (2008, https://doi.org/10.1029/2007jb005460) into a benchmark study. All experiments confirm that modeled faults (other than megathrusts) have low effective friction of 0.085 ±
Peter Bird +2 more
wiley +1 more source
Mean Field Approaches to Lattice Gauge Theories: A Review. [PDF]
Entropy (Basel)Fontana P, Trombettoni A.
europepmc +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Non‐vanishing of Poincaré series on average
Mathematika, Volume 72, Issue 2, April 2026.Abstract We study when Poincaré series for congruence subgroups do not vanish identically. We show that almost all Poincaré series with suitable parameters do not vanish when either the weight k$k$ or the index m$m$ varies in a dyadic interval. Crucially, analyzing the problem ‘on average’ over these weights or indices allows us to prove non‐vanishing ...
Ned Carmichael, Noam Kimmel
wiley +1 more source
The benefits of exploring a large scenario space for future energy systems. [PDF]
Nat CommunFrey UJ +4 more
europepmc +1 more source