Results 121 to 130 of about 16,549 (235)
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
AIChE Journal, Volume 72, Issue 5, May 2026.Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse +2 more
wiley +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 +4 more
wiley +1 more source
AIChE Journal, Volume 72, Issue 5, May 2026.Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
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Engineering Reports, Volume 8, Issue 5, May 2026.The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh +8 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 5, May 2026.An adaptive surrogate‐assisted differential evolution framework integrates machine learning‐based surrogate modeling with selective full‐wave electromagnetic validation to accelerate antenna optimization. A CST–Python workflow combines Latin‐hypercube sampling, cross‐validated model selection, and iterative dataset refinement to guide the search toward
Muhammad Farooq +3 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1356-1376, May 2026.ABSTRACT Reinforced concrete pier walls designed before the 1970s often incorporate lap splice in potential plastic‐hinge regions. Previous experimental tests indicate that most of pier walls experienced post‐yield lap splice failure, necessitating a modeling approach that captures not only lap splice strength but also deformation capacity.
Gun Chan Lee +2 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 6, Page 1467-1487, May 2026.ABSTRACT This study quantifies the influence of alkali‐silica reaction (ASR) on the seismic fragility of prestressed concrete containment structures in nuclear power plants (NPPs). Global collapse was considered as the governing failure mode to maintain consistency with current risk assessment frameworks, and was captured using a finite element model ...
Chanyoung Kim +3 more
wiley +1 more source
Earthquake Spectra, Volume 42, Issue 2, May 2026.As seismic design paradigms shift toward functional recovery, there is a need for efficient methods to achieve desired decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building, for seismically isolated buildings.
Huy G. Pham, Tracy C. Becker
wiley +1 more source
Systems Research and Behavioral Science, Volume 43, Issue 3, Page 1229-1248, May/June 2026.ABSTRACT The fashion industry's high resource use and globalised supply chains generate environmental degradation through overproduction, waste and pollution. Digital Textile Microfactories (DTMFs) are promoted as a more sustainable alternative because they enable fast, digitalised and often localised production, but lower costs and a greener image may
Juan Esteban Martinez‐Jaramillo +2 more
wiley +1 more source