Results 121 to 130 of about 50,463 (272)
Accelerating Sustainable Epoxy Resin Development Through Bayesian Optimization and Inverse Design
Development of a machine learning framework for the optimization of the Tg of partially bio‐based epoxy resin formulations in a 13‐component design space using Bayesian optimization, active learning, random design, and inverse design. The results show that the BO effectively navigates high‐dimensional formulation spaces, and the final ML model could ...
Natalie Wunder +3 more
wiley +1 more source
ABSTRACT Compact plate‐fin heat exchangers (PFHEs) are commonly utilized in diverse industries, including aerospace, automotive, processing, and space. Various fin configurations, such as Plain fins, Wavy fins, Lance and Offset fins (OSFs), Perforated fins, louvered fins, and pin fins, are employed in compact heat exchangers (CHEs).
Chennu Ranganayakulu
wiley +1 more source
Guest Editorial: Computational Intelligence in Dynamic and Uncertain Environments
CAAI Transactions on Intelligence Technology, EarlyView.
Shouyong Jiang
wiley +1 more source
Medicinal and Crop Protection Chemistry: Breaking Barriers, Building Synergies
A unified view of medicinal and crop protection chemistry reveals shared scientific progress, common challenges, and new opportunities for cross‐disciplinary collaboration. Bridging expertise across both fields could accelerate innovation and actively encourage more sustainable solutions.
Giulia Cazzaniga +5 more
wiley +1 more source
Multiobjective output-feedback control via LMI optimization
C. Scherer, P. Gahinet, M. Chilali
semanticscholar +1 more source
Planar Super‐Oscillation Diffractive Lenses: Practical Developments and Applications
This review examines planar super‐oscillation diffractive lenses as a unified framework for super‐oscillatory lenses and supercritical lenses. It focuses on applications in super‐resolution imaging, micro/nanofabrication, and precision measurement and relates their application‐specific requirements to focal‐field control, multiobjective design ...
Yutian Cheng +6 more
wiley +1 more source
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Multiobjective simulation optimization.
This doctoral dissertation focuses on multiobjective stochastic simulation optimization, and has been developed on the on the interface of two key research fields: operations research and artificial intelligence. Operations research models are commonly applied to support decisions in complex business and industrial systems (e.g., operations management,
openaire +2 more sources
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

