Results 181 to 190 of about 47,776 (252)

Nanoscale Ordering of Magnetosomes Under the Influence of a Magnetic Field Investigated by Small‐Angle X‐Ray Scattering

Small Structures, Volume 7, Issue 6, June 2026.
Recently, the synthetic Rhodospirillum rubrum ‘magneticum’ has been shown to enable the light‐driven production of magnetosomes (MAGs) in high yields. These membrane‐enveloped magnetic nanoparticles represent promising alternatives to their chemically synthesized analogs for many applications in the biotechnological and biomedical field.
Dieter Skroblin, Sabine Rosenfeldt, Simon Markert, Jakob J. Beierl, Dirk Schüler, Anna S. Schenk, Frank Mickoleit, Christian Gollwitzer   +7 more
wiley   +1 more source

Wildfire, Suppression, and Federal Spending, 2020–2100

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Wildfire extent is growing in the United States (US), a fact attributable to increasingly favorable weather and climatic conditions and the net result of human interventions. US federal land management agencies act upon the wildfire threat by managing hazardous fuels, discouraging human‐caused ignitions, and suppressing active fires.
Jeffrey P. Prestemon, Shannon Kay, Jennifer Costanza, Linda A. Joyce, Karin Riley, Karen Short, Erin Belval, Bruno Kanieski da Silva, Prakash Nepal, Jeffrey Morisette   +9 more
wiley   +1 more source

A Deep Learning‐Enhanced Ensemble Smoother for Non‐Gaussian Hydrological Data Assimilation Without Relying on Innovation Vectors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Data assimilation (DA) plays a critical role in reducing simulation uncertainty in hydrological systems by leveraging available observations to estimate model states and/or parameters. Among DA methods, the ensemble smoother (ES) has emerged as an attractive option for parameter estimation due to its computational efficiency and ...
Jiangjiang Zhang, Junliang Jin, Lei Yao, Kun Zhou, Jianyun Zhang   +4 more
wiley   +1 more source

Advancing Heliophysics and Space Weather Modeling Through Open Science

Space Weather, Volume 24, Issue 6, June 2026.
Abstract We present a community‐wide effort to develop a strategy and action plan to advance heliophysics and space weather modeling through open science. While open science has the potential to enhance the quality and pace of scientific discovery, its application to scientific modeling requires more careful consideration regarding open data and open ...
C. Corti, M. M. Kuznetsova, M. A. Reiss, J. Yue, J. Karpen, C. N. Arge, F. Bacchini, C. Bard, S. Bruinsma, R. M. Caplan, L. K. S. Daldorff, P. J. Deka, C. R. DeVore, S. Elvidge, N. Ganushkina, J. D. Huba, B. V. Jackson, V. Jordanova, J. A. Linker, H. Liu, J. G. Luhmann, S. Markidis, P. Mayank, V. Merkin, N. Moens, D. Odstrcil, Y. A. Omelchenko, M. Palmroth, S. Poedts, A. J. Ridley, Y. Shou, V. Tenishev, D. R. Themens, G. Toth, W. Wang, R.‐P. Wilhelm, M. A. Young, B. Cecconi, M.‐Y. Chou, D. De Zeeuw, G. L. Delzanno, C. Didigu, M. El Alaoui, S. Fung, J. Green, Z. Huang, L. K. Jian, L. J. Landwer, M. Lesko, P. MacNeice, A. Masson, M. L. Mays, P. M. Mehta, M. S. Miesch, E. Palmerio, M. Petrenko, E. Provornikova, L. Rastätter, L. Rusaitis, N. Sachdeva, E. Samara, D. Sur, A. Taktakishvili, J. Topper, T. Tsui, C. Verbeke, J. Wang, C. Wiegand, M. Wiltberger, Y. Zheng, M. M. Bisi, M. K. Georgoulis, T. Kodikara, T. Pulkkinen, A. Chartier, D. da Silva, A. Faturahman, K. Garcia‐Sage, D. Kondrashov, V. E. Ledvina, W. Liu, C. Pandey, E. Resnick, C. Shi, R. S. Weigel, K. Whitman, I. Zakharenkova, K. Zhang   +87 more
wiley   +1 more source

A unified performance-cost landscape of parallel p-bit Ising machines based on update dynamics. [PDF]

Sci Rep
Onizawa N, Hanyu T.
europepmc   +1 more source

Pseudorandom number generators for supercomputers and classical computers: A practical introduction.

Kleijnen, J.P.C., Annink, B.
core  

Identifying the State Dependence of Effective Material Properties in a Simplified Hydrologic Hillslope Model

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Accurate representation of closure relationships, such as subsurface storage‐discharge, is essential for hydrologic modeling at the hillslope scale, but remains challenging due to the nonlinear state‐dependent nature of soil hydraulic behavior.
Marcus N. Gomes Jr., Hannes H. Bauser, Peter A. Troch   +2 more
wiley   +1 more source

An introduction to Sequential Monte Carlo for Bayesian inference and model comparison-with examples for psychology and behavioral science. [PDF]

Behav Res Methods
Hinne M.
europepmc   +1 more source

Cross‐Dimensional Generative Adversarial Networks (CDGAN) Geomodeling: Bridging 2D Geological Figures and 3D Reservoir Modeling

Water Resources Research, Volume 62, Issue 6, June 2026.
Abstract Generative adversarial networks (GANs) have proven effective in simulating complex reservoir environments, such as meandering channels and deltas. In classic GANs, the dimensionality of training data determines that of generated data: a 2D (or 3D) reservoir facies simulator (generator) requires training with corresponding 2D (or 3D) data sets.
Xun Hu, Yanshu Yin, Changmin Zhang, Pengfei Xie, Lixin Wang   +4 more
wiley   +1 more source

BayesCNV: A Bayesian Hierarchical Model for Sensitive and Specific Copy Number Estimation in Cell Free DNA. [PDF]

Diagnostics (Basel)
Talbot A, Kotlar A, Rishishwar L, Conley A, Zhao M, Yang N, Liu M, Wang Z, Polvino S, Ke Y.   +9 more
europepmc   +1 more source