Results 51 to 60 of about 124 (120)

Quantum Time‐Marching Algorithms for Solving Linear Transport Problems Including Boundary Conditions

International Journal for Numerical Methods in Engineering, Volume 127, Issue 8, 30 April 2026.
ABSTRACT This article presents the first complete application of a quantum time‐marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities are problem intrinsic. The method adapts the linear combination of unitaries algorithm to block encode the diffusive dynamics, while ...
Sergio Bengoechea, Paul Over, Thomas Rung   +2 more
wiley   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Electromagnetic Perception With Artificial Intelligence‐Empowered Programable Metasurface: From Data‐Driven Imaging to Semantic Sensing

Advanced Photonics Research, Volume 7, Issue 4, April 2026.
This review chronicles the evolution of intelligent electromagnetic (EM) perception systems empowered by metasurfaces and artificial intelligence. The progression from data‐driven imaging with implicit priors to semantic sensing with explicit priors is systematically reviewed.
Xingrui Zhou, Jiawen Xu, Jiachen Wei, Fan Lu, Lianfeng Li, Lianlin Li   +5 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, Volume 72, Issue 4, April 2026.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Contrasting Global and Patient‐Specific Regression Models via a Neural Network Representation

Biometrical Journal, Volume 68, Issue 2, April 2026.
ABSTRACT When developing clinical prediction models, it can be challenging to balance between global models that are valid for all patients and personalized models tailored to individuals or potentially unknown subgroups. To aid such decisions, we propose a diagnostic tool for contrasting global regression models and patient‐specific (local) regression
Max Behrens, Daiana Stolz, Eleni Papakonstantinou, Janis M. Nolde, Gabriele Bellerino, Angelika Rohde, Moritz Hess, Harald Binder   +7 more
wiley   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Advanced Statistical Characterization and Correlation Analysis of Process Performance Indicators for Optimized Engineering Decisions

Engineering Reports, Volume 8, Issue 4, April 2026.
An integrated framework couples statistical characterization with multi‐objective control to optimize wind‐farm operations. Ten observations across three categories (Cat1–Cat3) were analyzed using means, medians, variances, and a correlation matrix.
Khamiss Cheikh, EL Mostapha Boudi, Rabi Rabi, Hamza Mokhliss   +3 more
wiley   +1 more source

Epistemic Uncertainty Analysis and Robust Optimization of a Second‐Generation Solvent‐Based Post‐Combustion Carbon Capture Process

Engineering Reports, Volume 8, Issue 4, April 2026.
Parametric uncertainty in the PZ/AFS post‐combustion carbon‐capture process model compromises the reliability of process designs extracted via traditional, deterministic optimization methods. We identify the twelve parameters exhibiting highest impact on capture and costs, and mitigate the design risk stemming from those via formulating and solving a ...
Ilayda Akkor, Shachit S. Iyer, John Dowdle, Le Wang, Chrysanthos E. Gounaris   +4 more
wiley   +1 more source

Approximation of the Pseudospectral Abscissa via Eigenvalue Perturbation Theory

Numerical Linear Algebra with Applications, Volume 33, Issue 2, April 2026.
ABSTRACT Reliable and efficient computation of the pseudospectral abscissa in the large‐scale setting is still not settled. Unlike the small‐scale setting where there are globally convergent criss‐cross algorithms, all algorithms in the large‐scale setting proposed to date are at best locally convergent.
Waqar Ahmed, Emre Mengi
wiley   +1 more source

Negativity‐preserving transforms of tuples of symmetric matrices

Proceedings of the London Mathematical Society, Volume 132, Issue 4, April 2026.
Abstract Compared to the entrywise transforms which preserve positive semidefiniteness, those leaving invariant the inertia of symmetric matrices reveal a surprising rigidity. We first obtain the classification of negativity preservers by combining recent advances in matrix analysis with some novel arguments relying on well‐chosen test matrices, Sidon ...
Alexander Belton, Dominique Guillot, Apoorva Khare, Mihai Putinar   +3 more
wiley   +1 more source