Results 131 to 140 of about 1,900 (308)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.Interlayer sliding in the RuO2Zn2F2 bilayer induces ferroelectricity and enables reversible valley polarization switching. The electric dipole and valley‐resolved band edges are intimately coupled, revealing sliding ferroelectricity as a powerful mechanism for electrical control of valley degrees of freedom in 2D materials.
Djamel Bezzerga +3 more
wiley +1 more source
, 2019 WOS: 000477052300001The paper presents an analysis, characterizations and comparison of six commonly used scalarization methods in multiobjective optimization.
Öztürk, Zehra Kamışlı +4 more
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Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
四川大学学报. 自然科学版, 2016 In this paper, for the generalized weak vector equilibrium problem where the ordering relation is defined via an improvement set, a linear scalarization characterization is established.
ZUO Xin, CHEN Chun-Rong
doaj
Notes on Lipschitz Properties of Nonlinear Scalarization Functions with Applications
Abstract and Applied Analysis, 2014 Various kinds of nonlinear scalarization functions play important roles in vector optimization. Among them, the one commonly known as the Gerstewitz function is good at scalarizing.
Fang Lu, Chun-Rong Chen
doaj +1 more source
On Insurer Portfolio Optimization. An Underwriting Risk Model
Multicriteria portfolio optimization started with the Markowitz mean-variance model (Markowitz 1952, 1959). This model assumes that the goal of an average or standard investor is to maximize the unknown return on investment.
Preda, Vasile, Ciumara, Roxana
core
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
IEEE AccessCurrent multi-objective reinforcement learning (MORL) research often struggles to balance multiple objectives and manage the stability and performance of learning algorithms, especially in complex environments.
Youming Zhang
doaj +1 more source
Advanced Science, EarlyView.A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source