Results 181 to 190 of about 872,112 (308)
Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes. [PDF]
Chem SciLiang K, Qi X, Xiao X, Wang L, Zhang J.
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Inverse multi-objective combinatorial optimization
, 2013 The initial question addressed in this thesis is how to take into account the multi-objective aspect of decision problems in inverse optimization. The most straightforward extension consists of finding a minimal adjustment of the objective functions coefficients such that a given feasible solution becomes efficient.
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Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
Advanced Functional Materials, EarlyView.We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang +6 more
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Lightweight Design Method for Micromanufacturing Systems Based on Multi-Objective Optimization. [PDF]
Micromachines (Basel)Li S, Hashemi Sohi SH.
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Advanced Functional Materials, EarlyView.A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski +3 more
wiley +1 more source
Development of an integrated intelligent BIM-based model for multi-objective optimization in engineering assembly processes. [PDF]
PLoS OneZhang Y.
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Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning [PDF]
Jing Tan, Ramin Khalili, Holger Karl
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