The article presents a systematic analysis of the main neural network-based image generation methods used in digital art and graphic design: generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models and multimodal transformer-based models. The study employs theoretical comparative analys...
Yalg'osheva Ozoda, Kamoliddin ISMAILOV· Zenodo (CERN European Organi...· 0 citations
Hydrogen reduction of metal oxides has been identified as a promising approach for producing some engineering (metallic) materials, both through primary production and the reprocessing of waste materials. Such an approach offers a viable promise for the production of value-added materials in a sustainable manner. Unlik...
Kunal Mondal, Rigoberto C. Advíncula, Prabhat Kumar Tripathy et al.· ChemRxiv· 0 citations
Reaction–diffusion (RD) systems play a fundamental role in numerous biochemical and biophysical processes. Here, we present a novel analytical framework for solving RD equations by applying the Wentzel–Kramers–Brillouin–Jeffreys (WKBJ) formalism to Ca²⁺ buffering. Previous models have primarily focused on stationar...
S. Mironov· Frontiers in Cellular Neuros...· 0 citations
Abstract Kinetic Monte Carlo simulations of thin-film deposition are performed with film–substrate interactions slightly stronger than film–film interactions and with layer-dependent Ehrlich–Schwoebel (ES) barriers for molecules to cross step edges. Simulations with rapid changes from weak to strong ES barriers in the...
Edwin E. Mozo Luis, Ismael S. S. Carrasco, Fabio D. A. Aarao Reis· The Journal of Physical Chem...· 0 citations
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The Gibbs entropy of a Hamiltonian ensemble is constant, and the growth of entropy is commonly attributed to coarse-graining. We ask when Gaussian coarse-graining actually guarantees that the coarse-grained entropy does not decrease, for every initial ensemble. For linear Hamiltonian flows we prove a necessary and suff...
Taishi Namba· Zenodo (CERN European Organi...· 0 citations
SPARTA poses two transport problems on one spatial graph: a source–sink minimum cut for migrating immune cells and a screened diffusion–absorption equation for an IgG-sized molecule. Release v2.2.0 accompanies the manuscript submitted to Interdisciplinary Sciences: Computational Life Sciences and contains the complete...
Yize Li· Zenodo (CERN European Organi...· 0 citations
Python code and data for an associated manuscript on the bistability of an early-diagenetic sediment column. The archive contains a one-dimensional advection-diffusion-decay model of organic carbon in the bioturbated layer, in which bioturbation and aerobic remineralisation switch with the anoxia of the sediment; the s...
Itsuki C. Handoh· Zenodo (CERN European Organi...· 0 citations
Abstract We evaluate whether dissipation of turbulence injected into hot cluster atmospheres by jets and bubbles can offset radiative cooling flows. No trends are found between atmospheric velocity dispersion, σ v , and either the ratio of kinetic to thermal energy or jet power over nearly four decades of jet power. Ap...
B. R. McNamara, A. C. Fabian, H. R. Russell et al.· The Astrophysical Journal· 0 citations
The Physical Impossibility of Quantum Computational Speedup: Two Independent Arguments from Quantum-Geometry Dynamics Quantum computing promises computational advantages that are, in the most celebrated cases, exponential. Shor's algorithm factors integers exponentially faster than the best known classical algorithm; G...
Daniel Burnstein· Zenodo (CERN European Organi...· 0 citations
Drift-Diffusion model outputs and its derivative products used in this study are included here as a part of data avaliability for the publication to appear in Geophysical Research Letters. For this study, analaysis was performed in Python, and the data output are in formats of .txt and .pickle, which can be easily pars...
Weichao Tu, Zhi‐Gu Li· Zenodo (CERN European Organi...· 0 citations
How much macroscopic regularity can a random Markov chain acquire when it is allowed to rewrite itself using only a small set of closure operations? We study this question in a minimal stochastic substrate: a random transition kernel on n states that is repeatedly rewritten, gated and reorganized by six primitive opera...
Ioannis Tsiokos· Zenodo (CERN European Organi...· 0 citations
UFD v2.0 is a corrective edition of UFD. It withdraws every physical claim of v1.0, v1.1 and v1.2 (2025): particles, mass, quantization, physical constants, gravity and the unification of physical theories are no longer claimed, and no symbol has a physical reading. What remains is a short mathematical text. It states...
Valdepenas, C· Zenodo (CERN European Organi...· 0 citations
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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