Results 291 to 300 of about 5,359,012 (345)

High Energy Density Asymmetric Aqueous Supercapacitor Based on a 2D Manganese Carbide as a Positive Electrode

Advanced Functional Materials, EarlyView.
A circular route, involving upcycling of waste surgical masks, affords a Mn‐based layered carbide with porosity, redox activity and low work function. These features enable its effective operation as positive supercapacitor electrode in an aqueous asymmetric supercapacitor delivering 213 Wh L−1 energy density.
Debabrata Nandi, Smita Talande, Aby Cheruvathoor Poulose, Gabor Ersek, Giuseppe Portale, Michal Otyepka, Radek Zbořil, Aristides Bakandritsos   +7 more
wiley   +1 more source

Overcoming Debye Length Limitations in Electrolyte‐Gated Transistor Biosensors Using Nanoscale‐Grooved Oxide Semiconductors Fabricated by Thermal Nanoimprint Lithography

Advanced Functional Materials, EarlyView.
Nanoscale‐grooved indium gallium oxide (IGO) semiconductors, patterned via thermal nanoimprint lithography (NIL) using CD/DVD templates, are integrated into electrolyte‐gated transistor biosensors to overcome Debye length limitations. Precisely engineered concave–convex nanostructures modulate local electrostatic potentials, extend the effective Debye ...
Jong Yu Song, Gyeongmin Lee, Dong Hyung Kim, Woo Lee, Eun‐Ah You, Young‐Geun Ha   +5 more
wiley   +1 more source

Bioinspired Polypeptide Dendrimer‐Modified Thin‐Film Composite Membranes for Selective Lithium‐Magnesium Separation with DFT Insights

Advanced Functional Materials, EarlyView.
We fabricated a biomimetic dendrimer‐modified thin‐film nanocomposite membrane with a coordination‐assisted ion‐selective interface. pH‐responsive polypeptide sites preferentially bind Mg2+ and promote Li+ permeation, as predicted by density functional theory calculations of metal‐ligand interactions.
Mehrasa Yassari, Seyedeh Fatemeh Seyedpour, Bamlak Setegne, Amir Aghaei, Behzad Ahvazi, Mostafa Dadashi Firouzjaei, Mark Elliott, Mohtada Sadrzadeh   +7 more
wiley   +1 more source

ecg2o: a seamless extension of g2o for equality-constrained factor graph optimization. [PDF]

Front Robot AI
Abdelkarim A, Görges D, Voos H.
europepmc   +1 more source

Correlation-Strength-Driven Self-Adaptive Strategy Adjustment Algorithm for Constrained Optimization

Yinghan Hong, Sirui Liang, Guizhen Mai, Yueting Xu, Han Huang, Jie Lian, Wei He, Dan Xiang, Yu‐Lin Li, Pinghua Chen   +9 more
openalex   +2 more sources

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Constrained Optimization

Numerical Methods Using Java, 2022
Deeksha Aggarwal, Uttam Kumar
semanticscholar   +5 more sources

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization

IEEE Transactions on Evolutionary Computation, 2023
When solving constrained multiobjective optimization problems (CMOPs), the utilization of infeasible solutions significantly affects algorithm’s performance because they not only maintain diversity but also provide promising search directions.
Kangjia Qiao, Kunjie Yu, B. Qu, Jing J. Liang, Hui Song, Caitong Yue, Hongyu Lin, K. Tan   +7 more
semanticscholar   +1 more source

An Evolutionary Multitasking Optimization Framework for Constrained Multiobjective Optimization Problems

IEEE Transactions on Evolutionary Computation, 2022
When addressing constrained multiobjective optimization problems (CMOPs) via evolutionary algorithms, various constraints and multiple objectives need to be satisfied and optimized simultaneously, which causes difficulties for the solver. In this article,
Kangjia Qiao, Kunjie Yu, B. Qu, Jing J. Liang, Hui Song, Caitong Yue   +5 more
semanticscholar   +1 more source

A test-suite of non-convex constrained optimization problems from the real-world and some baseline results

Swarm and Evolutionary Computation, 2020
Real-world optimization problems have been comparatively difficult to solve due to the complex nature of the objective function with a substantial number of constraints.
Abhishek Kumar, Guohua Wu, Mostafa Z. Ali, R. Mallipeddi, P. Suganthan, Swagatam Das   +5 more
semanticscholar   +1 more source

Utilizing the Relationship Between Unconstrained and Constrained Pareto Fronts for Constrained Multiobjective Optimization

IEEE Transactions on Cybernetics, 2022
Constrained multiobjective optimization problems (CMOPs) involve multiple objectives to be optimized and various constraints to be satisfied, which challenges the evolutionary algorithms in balancing the objectives and constraints.
Jing J. Liang, Kangjia Qiao, Kunjie Yu, B. Qu, Caitong Yue, Weifeng Guo, Lingli Wang   +6 more
semanticscholar   +1 more source