Results 51 to 60 of about 5,561 (134)

On the Performance and Convergence of PINNs for Problems in Linear Elasticity

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Physics‐informed neural networks (PINNs) have emerged as a promising approach for solving partial differential equations by embedding physical laws directly into the loss function. However, their performance characteristics for problems in computational mechanics remain insufficiently understood.
Dipraj Kadlag, Carolin Birk, Sundararajan Natarajan, Hauke Gravenkamp   +3 more
wiley   +1 more source

Predictive Building Energy Management by Means of Mixed‐Integer Optimal Control With Automated Setup

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Today, a significant portion of total final energy consumption can be attributed to heating systems in buildings. Reducing energy consumption and carbon dioxide emissions in this sector is, therefore, crucial to achieving the goals of climate action initiatives worldwide.
Artyom Burda, Philip Lay, Mirco Rode, Martin Grotjahn, Christian Kirches   +4 more
wiley   +1 more source

Experimental Investigations on the Energy Absorption of Aluminum TPMS Structures Under Dynamic Loading

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Triply periodic minimal surfaces (TPMS) constitute a prominent class of cellular structures and have gained considerable attention in current research. These structures are genus‐infinite surfaces with zero mean curvature, which prevents self‐intersection. They also exhibit periodicity in all three spatial directions and exhibit enhanced multi‐
Sören Bieler, Denis Anders, Marcel Walkowiak, Kerstin Weinberg   +3 more
wiley   +1 more source

Quasivoids in Polydisperse Glassy Systems With Atomistic PEL Exploration and Iso‐Configuration Method

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Understanding the microscopic relaxation mechanisms in amorphous solids remains a fundamental challenge. A theoretical framework posits that dynamics are mediated by quasivoids: transient, localized quasi‐particles that are the amorphous analogue of crystalline vacancies.
Guan‐Qiang Liu, S. Swayamjyoti, Normand Mousseau, Man‐Kin Fung, Cho‐Tung Yip, Bernd Markert, Franz Bamer   +6 more
wiley   +1 more source

On the Foundational Arguments of Sufficient Dimension Reduction

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Contemporary Sufficient Dimension Reduction, a versatile method for extracting material information from data, can serve as a preprocessor for classical modeling and inference, or as a standalone theory that leads directly to statistical inference. ABSTRACT Sufficient dimension reduction (SDR) refers to supervised methods of dimension reduction that ...
R. Dennis Cook
wiley   +1 more source

A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials

Advanced Engineering Materials, Volume 28, Issue 9, 6 May 2026.
This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline, Matthew Santer, Robert Hewson   +2 more
wiley   +1 more source

Hybrid modeling for optimizing cell cultivation in mAb production using a small‐scale automated experimental platform

AIChE Journal, Volume 72, Issue 5, May 2026.
Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto, Yuki Yoshiyama, Mizuki Morisasa, Junshin Iwabuchi, Yusuke Hayashi, Sara Badr, Hirokazu Sugiyama   +6 more
wiley   +1 more source

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models

Angewandte Chemie, Volume 138, Issue 16, 13 April 2026.
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang, Yuanzheng Chen, Chuanyu Liu, Yan Liu, Hongliang Xin, Jiayu Peng, Pengfei Ou, Hao Li   +7 more
wiley   +2 more sources

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

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