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2,325 papers
Abstract. Marine stratocumulus clouds strongly influence Earth’s radiation budget by reflecting incoming solar radiation, yet many general circulation models (GCMs) struggle to simulate them, primarily due to parameterization deficiencies. In contrast, the Taiwan Earth System Model version 1 (TaiESM1) can realistically...
Abstract. Marine stratocumulus clouds strongly influence Earth’s radiation budget by reflecting incoming solar radiation, yet many general circulation models (GCMs) struggle to simulate them, primarily due to parameterization deficiencies. In contrast, the Taiwan Earth System Model version 1 (TaiESM1) can realistically...
Understanding where up to 99% of the expected sulfur is hidden in dense molecular clouds remains one of the long-standing unresolved problems in astrochemistry. Binding energies (BEs) control desorption, diffusion, and residence times of molecules on amorphous-solid-water (ASW) mantles and hence also determine these in...
CARMApy is a Python wrapper of the Community Aerosol and Radiation Model for Atmospheres (CARMA), originally developed by Turco et al. (1979), Toon et al. (1988), and Bardeen et al. (2008). CARMApy specifically wraps ExoCARMA, a version of CARMA developed by Gao et al. (2018) and Powell et al. (2018) to model clouds on...
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Version 3 (10 September 2026). Corrected a benchmark-size error: the paper stated 14 generators throughout while the actual assembled and evaluated benchmark (and the enumerated list) contains 13; all occurrences are corrected to 13. Also corrected the Table 4 cross-architecture claim: not 'every detector' scores highe...
We present Version 3.3 of the Q-Rubin framework, a covariant phenomenological ansatz for late-time energy exchange between a pressureless matter-like sector and an emergent dark sector on a four-dimensional brane. Version 3.3 retains the theoretical structure of Version 3.2 and adds the results of a numerical implement...
Moving probability distributions in the context of stochastic processes efficiently is central to modern generative modeling, uncertainty quantification, and control of large engineered systems. Most current methods generate temporal trajectories independently, leaving open whether the trajectories can cooperate throug...
Abstract The final size of an earthquake typically cannot be predicted from its ongoing seismic radiation. Expanding observations reveal distinct exceptions, such as slow earthquakes, injection-induced seismicity, and natural earthquake swarms, in which fault slip has an upper bound. A common thread among these anomali...
The nitrogen-vacancy (NV) centre in diamond is the only solid-state qubit that operates at room temperature, yet its viability for fault-tolerant quantum computing has been dismissed on the grounds that decoherence times are too short. Here we show, through a calibrated twelve-channel decoherence model spanning 1.3 K t...
This study connects two methods for modeling reaction times (RTs) in choice tasks: (1) the first-hitting time of a simple diffusion model with a single barrier, representing the cognitive process leading to a response, and (2) Generalized Linear Mixed Models (GLMMs). We achieve this by analyzing the RT distributions co...
To design advanced dosage forms, suitable carrier materials are used to\novercome the undesirable properties of drug molecules. Hence various\nkinds of high-performance biomaterials are being constantly developed.\nFrom the viewpoint of the optimization of pharmacotherapy, drug release should\nbe controlled in accordan...
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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