Results 121 to 130 of about 88,447 (299)
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
A Novel Lagrangian-relaxation to the Minimum Cost Multicommodity Flow Problem and its Application to OSPF Traffic Engineering [PDF]
The Minimum Cost Multicommodity Flow problem plays a central role in today’s operations research theory with applications ranging from transportation and logistics to telecommunications network routing.
Gabor Retvari, Jozsef Biro, József Bíró, Tibor Cinkler
core
Optimum solution of power flow problem based on search and rescue algorithm
In order to solve the optimal power flow (OPF) problem, a unique algorithm based on a search and rescue method is applied in this study. For the OPF problem under three objective functions, the SAR offers a straightforward and reliable solution.
Essam H. Houssein +2 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Equivalence of cost generators for minimum cost flow phase unwrapping [PDF]
Phase unwrapping represents a crucial Step in processing phase data obtained with techniques such as synthetic aperture radar interferometry, speckle interferomtry, and magnetic resonance imaging.
Hubig, Michael +2 more
core
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Fast Approximation Algorithm for Minimum Cost Multicommodity Flow [PDF]
Minimum-cost multicommodity flow problem is one of the classical optimization problems that arises in a variety of contexts. Applications range from finding optimal ways to route information through communication networks to VLSI layout.
Anil Kamath, Serge Plotkin, Omri Palmon
core

