Results 191 to 200 of about 152,398 (281)

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Jacobian Granger causality for count and binary data with applications to causal network inference. [PDF]

Sci Rep
Suryadi, Chew LY, Ong YS.
europepmc   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality. [PDF]

Sci Rep
Mehmood T, Rafaqat M, Saleem S, Merga FE.   +3 more
europepmc   +1 more source

Understanding Multiscale Lithium Transport Dynamics in Composite Si‐C Electrodes: An Asymptotic Framework for GITT Experiments

Battery Energy, Volume 5, Issue 3, May 2026.
This study introduces an asymptotic analysis to elucidate the multi‐scale transport mechanisms driving the relaxation dynamics in GITT experiments on composite Si‐C/graphite electrodes. The approach not only enhances physical understanding of coupled lithium transport mechanisms but also establishes a base for redesigning GITT protocols to achieve more
E. Jane, M. Higuera, F. Varas
wiley   +1 more source

Modified iterative double step length model for solving nonlinear systems with application to motion control. [PDF]

Sci Rep
Halilu AS, Mohamed MA, Saleh MA, Ahmed K, Almaymuni AZ, Majumder A, Ibrahim SM, Almutairi B.   +7 more
europepmc   +1 more source

How to Visualize Computational Mechanics: Animating Finite Elements, Continuum Mechanics, and Tensor Calculus

Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.
ABSTRACT Computational mechanics is inherently complex, as the underlying physical processes evolve in three spatial dimensions and time. Thus, intuitive visualizations in traditional lecture notes or on blackboards are challenging. This motivates the use of animation software to illustrate time‐dependent three‐dimensional phenomena, which complement ...
Moritz Flaschel
wiley   +1 more source

Human-Inspired Holistic Control for Mobile Humanoid Robots. [PDF]

Biomimetics (Basel)
Wang Z, Ren X, Tang H, Jin H, Zhao J.
europepmc   +1 more source

Jacobian problems in differential equations and algebraic geometry

Rocky Mountain Journal of Mathematics, 1982
openaire   +2 more sources

Jointly Learned 3D Non‐Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2554-2567, May 2026.
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang, Brock W. Jolicoeur, James Rice, Caroline A. Doctor, Zaynab S. Yardim, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Kevin M. Johnson   +7 more
wiley   +1 more source