Results 121 to 130 of about 6,800,360 (294)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Accelerated Driving-Training-Based Optimization for Solving Constrained Bi-Objective Stochastic Optimization Problems

Mathematics
The constrained bi-objective stochastic optimization problem (CBSOP) considers the optimization problem with stochastic bi-objective functions subject to deterministic constraints.
Shih-Cheng Horng, Shieh-Shing Lin
doaj   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source

Electrical‐Programming‐Free Neural Crossbars Enabled by Photochemical Weight Patterning

Advanced Functional Materials, EarlyView.
A flexible neural‐crossbar hardware system enabled by electrical‐programming‐free, mask‐defined, array‐parallel photochemical weight patterning is demonstrated. Trained weights are physically implemented across the array, supporting multilevel programming, bending‐stable operation and reconfiguration, substrate reuse, and low‐energy readout while ...
Hyo‐Bin Jang, Ji‐Hoon Choi, Juhyung Seo, Seungwoo Baek, Hocheon Yoo, Hea‐Lim Park   +5 more
wiley   +1 more source

On some applications of Ant Colony Optimization metaheuristic to structural

, 2005
Ant colony optimization metaheuristic (ACO) represents a new class of algorithms particularly suited to solve real- world combinatorial optimization problems. ACO algorithms, published for the first time in 1991 by M. Dorigo and his co-workers, have been
P. Venini, M. Serra, Optimization Problems Serra   +2 more
core  

Deciphering the Photopolymerization‐Induced Nanostructures and Interface Formation for Submicrometer Additive Manufacturing

Advanced Functional Materials, EarlyView.
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen, Yufeng Zhai, Jungui Zhou, Lixing Li, Simon Schraad, Guangjiu Pan, Xuehe Jiang, Sarathlal Koyiloth Vayalil, Rolf A. T. M. van Benthem, Julien R. G. Navarro, Johan F. G. A. Jansen, Mats K. G. Johansson, Peter Müller‐Buschbaum, Stephan V. Roth   +13 more
wiley   +1 more source

Cost Propagation – Numerical Propagation for Optimization Problems

, 2008
We investigate cost propagation for solving combinatorial optimization problems with finite domain variables, expressed as an additive component model. Cost propagation combines ideas from both constraint programming and integer programming into a single
Wedelin, Dag,, Grohe, Birgit,
core  

Mapping Combinatorial Optimization Problems onto Neural Networks

, 1995
Neural networks have been proposed as a model of computation for solving a wide variety of problems in fields as diverse as combinatorial optimization, vision, and pattern recognition.
Sadayappan, P., Ramanujam, J., P. Sadayappan, J. Ramanujam, J Ramanujam   +4 more
core   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Convolutional formulation of large-scale quadratic unconstrained binary optimization with dense interactions

Communications Physics
The spatial photonic Ising machine (SPIM) is a promising optical hardware solver for large-scale combinatorial optimization problems with dense interactions.
Hiroshi Yamashita, Hideyuki Suzuki
doaj   +1 more source