Results 161 to 170 of about 28,001 (222)

A DNN Biophysics Model with Topological and Electrostatic Features. [PDF]

J Chem Inf Model
Sliheet E, Talha MA, Geng W.
europepmc   +1 more source

Generalization of mixed multiscale finite element methods with applications [PDF]

, 2016
openaire   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

The contribution of trabeculae and the failure initiation in the proximal femur: a finite element analysis. [PDF]

J Orthop Surg Res
Jia P, Yang Y, Fang Z, Tang X.
europepmc   +1 more source

Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Reliable and computationally efficient ocean state forecasts are essential for climate resilience, maritime safety, and science‐to‐decision applications. Growing demand has stimulated interest in machine learning approaches as scalable complements to traditional numerical models.
Vahidreza Jahanmard, Robinson Hordoir, Ali Ramezani‐Kebrya, Artu Ellmann, Nicole Delpeche‐Ellmann   +4 more
wiley   +1 more source

Reconstruction of Two‐Dimensional Magnetohydrodynamic and Hall Magnetohydrodynamic Equilibria in Space Using Physics‐Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract We present a novel data analysis technique based on physics‐informed neural networks (PINNs) to reconstruct two‐dimensional (2D) magnetohydrodynamic (MHD) and Hall MHD equilibria in a space plasma from in situ spacecraft measurements. Our method incorporates the steady‐state MHD or Hall MHD equations—a set of partial differential equations ...
Hiroshi Hasegawa, Eunjin Choi, Kyoung‐Joo Hwang, Kyunghwan Dokgo   +3 more
wiley   +1 more source

Failure Behavior and Mechanism of Solder Joint Under Thermal Mechanical Coupling Loads. [PDF]

Materials (Basel)
Deng Y, Chen S, Liu P, Lu G, Yang X, Zhao Y, Jian X.   +6 more
europepmc   +1 more source

The Energy Exascale Earth System Model Version 3: 2. Overview of the Coupled System

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract The Energy Exascale Earth System Model version 3 (E3SMv3) represents the latest advancement in Earth system modeling developed by the U.S. Department of Energy (DOE). Building upon previous versions, E3SMv3 introduces significant updates across its coupled components to enhance capability and improve fidelity.
Jean‐Christophe Golaz, Wuyin Lin, Xue Zheng, Shaocheng Xie, Andrew F. Roberts, Luke P. Van Roekel, Peter E. Thornton, Alice M. Barthel, Andrew M. Bradley, Jonathan D. Wolfe, Chengzhu Zhang, Kai Zhang, Shixuan Zhang, Xylar S. Asay‐Davis, Carolyn B. Begeman, Gautam Bisht, Susannah M. Burrows, Chih‐Chieh‐Jack Chen, Yan Feng, Elizabeth C. Hunke, Robert L. Jacob, Ziming Ke, Salil Mahajan, Naser G. Mahfouz, Mathew E. Maltrud, Xiaoying Shi, Qi Tang, Christopher R. Terai, Erin E. Thomas, Hailong Wang, Jinbo Xie, Tian Zhou, Tony Bartoletti, James J. Benedict, Michael A. Brunke, Darin S. Comeau, Jiwen Fan, Ryan M. Forsyth, James G. Foucar, Oksana Guba, Walter M. Hannah, Dalei Hao, Xianglei Huang, Nicole Jeffery, Hyun‐Gyu Kang, Noel D. Keen, Hsiang‐He Lee, Jiwoo Lee, Xiaohong Liu, Azamat Mametjanov, Johannes Mülmenstädt, Mark R. Petersen, Michael J. Prather, Stephen F. Price, Yun Qian, Andrew G. Salinger, Sean P. Santos, Yunpeng Shan, Balwinder Singh, Katherine M. Smith, Xiaoliang Song, Sarat Sreepathi, Adrian K. Turner, Tom Vo, Hui Wan, Mingxuan Wu, Wandi Yu, Charles S. Zender, Xubin Zeng, Guang J. Zhang, Meng Zhang, Tao Zhang, Yuying Zhang, Renata B. McCoy, Mark A. Taylor, L. Ruby Leung, Peter M. Caldwell, David C. Bader   +77 more
wiley   +1 more source

Machine learning-enabled inverse design of bioinspired layered composite structures with maximum auxetic performance. [PDF]

Commun Eng
Li Y, Li R, Fan Y, Zheng Z, Shen HS, Chen X, Wen M, Lin J, Yu WR, Wang Y.   +9 more
europepmc   +1 more source

The Sandpaper Theory of Flow‐Topography Interaction: The Non‐Local Formulation

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 4, April 2026.
Abstract The irregular seafloor variability at lateral scales of several kilometers can strongly influence large‐scale oceanic flows. However, these fine topographic patterns are currently unresolved by most global circulation models. To address this complication, we develop the “sandpaper” model of flow‐topography interaction.
Timour Radko, Justin Brown, Xiaobiao Xu, Eric P. Chassignet   +3 more
wiley   +1 more source