Results 141 to 150 of about 6,800,360 (294)
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee +9 more
wiley +1 more source
Entropy computing, a paradigm for optimization in open photonic systems
Finding better solutions to combinatorial optimization problems could have a large positive impact on many real-world application areas, such as logistics. For this reason, significant efforts have been made to design novel optimization paradigms.
Lac Nguyen +16 more
doaj +1 more source
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three major scientific domains: mathematics, theoretical computer science and management.
Paschos, Vangelis
core
Data-driven combinatorial optimization
Tong, GuangmoCombinatorial optimization problems, particularly those within the NP-hard and NP-complete classes, pose significant challenges due to their believed intractability in polynomial time.
Samizadeh, Mina
core +1 more source
How the Porous Transport Layer Dictates Membrane Electrode Assembly Performance of IrO2 Catalysts
The Schottky barrier formed at the catalyst | PTL interface critically governs both the initial performance and long‐term durability of the PEMWE, and its magnitude is dictated by the catalyst's work function. This limitation can be resolved by combining a rutile IrO2 core for efficient electron transfer with an amorphous IrOx shell for high surface ...
Hyeseong Jeon +6 more
wiley +1 more source
Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries
This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu +9 more
wiley +1 more source
Machine learning and combinatorial methods for discrete optimization problems
MACHINE LEARNING AND COMBINATORIAL METHODS FOR DISCRETE OPTIMIZATION PROBLEMS Machine learning and combinatorial methods for discrete optimization problems / Majthoub Almoghrabi, Mohammed (Rights reserved) (-
Majthoub Almoghrabi, Mohammed
core
Digitally Printed Eco‐Friendly Electronic Devices
Fabrication of electronics using eco‐friendly materials through digital printing routes is a promising strategy for improving life cycle sustainability and reducing the environmental impacts of conventional manufacturing. This review highlights state‐of‐the‐art eco‐friendly materials, green ink formulations, various resource‐efficient digital printing ...
Nitheesh M. Nair +5 more
wiley +1 more source
Combinatorial Optimization with Neural Networks
A general introduction to the use of feed-back artificial neural networks (ANN) for obtaining good approximate solutions to combinatorial optimization problems is given, assuming no previous knowledge in the field.
Peterson, Carsten,, Söderberg, Bo,
core
Cuttlefish and squid can catch their prey within milliseconds using specialized tentacles and suckers. The physics of how the suckers can attach so quickly has remained a mystery given the technical challenges of studying them in vivo. In this publication, we develop a hydrogel that retains imprints of the suckers in order to estimate the forces they ...
Alexander Koehnsen +4 more
wiley +1 more source

