15 papers · ranked by Valyu relevance
Sudeep Sarma, Harrison Truscott, Da Xu, Kendall Reid + 3 more
Diffusion models have emerged as the state-of-the-art method in generative artificial intelligence (AI) and have shown great success in image synthesis, video generation, molecular design, and protein structure prediction. For biophysical problems, such as protein folding and association, a fundamental question in…
Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington + 7 more
Storm-scale convection-allowing models (CAMs) explicitly resolve convective dynamics within the atmosphere to predict the evolution of thunderstorms and mesoscale convective systems that result in damaging extreme weather. Deep learning models have, thus far, not proven skillful in this regime of kilometer-scale…
Cristian Berceanu, Francesco Bertolotti, Nadia Arshad, Monica Patrascu + 1 more
In an era where digital communication accelerates the global spread of false narratives, understanding how misinformation and disinformation propagate, especially during crises such as the COVID-19 pandemic, is vital to public health and policy. To delve into the diffusion mechanisms of misinformation (unintentionally…
Franziska Henrich, Karl Christoph Klauer
Reaction time data in psychology are frequently censored or truncated. For example, two-alternative forced-choice tasks that are implemented with a response window or response deadline give rise to censored or truncated data. This must be accounted for in the data analysis, as important characteristics of the data…
Prathamesh Kishor Gadgil, Shamith Manjunath Poojari, Murali Ramanathan
To evaluate diffusion model-based artificial intelligence approaches for generating virtual populations with physiological determinants of drug dosing (PDODD) and pharmacokinetic (PK) profiles. A denoising diffusion probabilistic model (DDPM) was applied to a 31-variable dataset of PDODD covariates (18 continuous, 13…
Paul G. Blackwell
In spatial ecology, the concept of resource selection expresses the idea that for many animals, the distribution of an individual’s location is not uniform over the region available to them; instead, they spend time preferentially in some locations compared to others, in a way that can often be related to spatial…
Paula Gimenez, Rohisha T. Shakya, Fidel Santamaria, Jan Tønnesen
Background The brain extracellular space (ECS) is a convoluted compartment of nano- to microscale interconnected ducts filled with interstitial fluid and lined by neural cell membranes. A key step in signaling between neural cells is diffusion through the ECS of transmitter molecules released from point sources…
Sadegh Ahmadpour, Raoof Gholami, Mojtaba Ghaedi, Martin J. Blunt
The transition to a hydrogen-based energy system requires safe and efficient large-scale storage solutions. Underground hydrogen storage (UHS) has emerged as a promising candidate, but the effectiveness and long-term security of UHS depend on a fundamental understanding of hydrogen transport mechanisms in subsurface…
Michał Fajt, Grzegorz Machowski, Bartosz Puzio, Artur T. Krzyżak
Low-field NMR (LF-NMR) is a widely applied technique for evaluating pore size distribution (PSD) in porous materials. Conventional approaches typically assume surface-controlled spin-spin relaxation and negligible diffusion contributions under the fast-diffusion regime, which introduces systematic errors when applied…
Lidia Mrad, Joceline Lega
This article introduces a computational method, called Recapture of Diffusive Agents & Particle Swarm Optimization (RDA-PSO), designed to estimate the dispersal parameter of diffusive insects in mark-release-recapture (MRR) field experiments. In addition to describing the method, its properties are discussed, with…
A. Girelli, G. Giantesio, A. Musesti, R. Penta
This work explores diffusion with scale-dependent coefficients, starting from a general advection-diffusion framework from a theoretical standpoint, and then focusing numerically on a purely diffusive regime. Advection-diffusion processes are central to modeling transport phenomena in natural and engineered systems.…
Keita Nakajima, Hirokazu Ninomiya
Biological diffusion processes are often influenced by environmental factors. In this study, we investigate the effects of variable diffusion, which depend on the point between the departure and the arrival points, on the propagation of bistable waves. This process includes neutral, repulsive, and attractive…
Gabriel G. da Rocha, Michely P. Rosseto, Rodrigo J. Jaronski, Derik W. Gryczak + 3 more
in Electrolytic Cells: A Generalized Poisson–Nernst–Planck Model with Memory Effects Authors: Gabriel G. da Rocha, Michely P. Rosseto, Rodrigo J. Jaronski, Derik W. Gryczak, Luiz R. Evangelista, Rafael S. Zola, Ervin K. Lenzi We present an extension of the standard Poisson-Nernst-Planck model by incorporating temporal…
Ludovic Schorpp, Nina Egli, Julien Straubhaar, Philippe Renard
Groundwater models are important and useful tools for answering scientific and technical questions about the quantity and quality of groundwater, as well as for making critical management decisions. However, the heterogeneity of subsurface properties, such as hydraulic conductivity, is known to play a central role in…
Trent Koberna, Steven C. DeCaluwe
Methods for Battery Precipitation Reactions Authors: Trent Koberna, Steven C. DeCaluwe Precipitation and deposition reactions at solid-liquid interfaces play a key role in a number of battery chemistries, including Li-ion, so-called “anode free” batteries, zinc-based battery chemistries, and lithium-sulfur, among…