Results 81 to 90 of about 94,179 (301)

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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Multimodal Multiobjective Optimization Algorithm Based on Local Center Clustering [PDF]

Jisuanji kexue
In multimodal multiobjective optimization problems,multiple global and local optimal solutions can provide flexible options for decision makers.However,the current research work of multimodal multiobjective algorithms mostly focuses on multiple ...
YUE Caitong, YE Wenhao, ZHANG Yingjie, LIANG Jing, LIN Hongyu
doaj   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Gradient-Informed Pareto-Based Multi-Objective Binary Topology Optimization

IEEE Access
Multi-objective topology optimization (TO) problems frequently arise in practical engineering applications, necessitating the identification of Pareto-optimal solutions.
Francesco Lucchini, Riccardo Torchio, Piergiorgio Alotto   +2 more
doaj   +1 more source

A Tutorial on Evolutionary Multi-Objective Optimization (EMO) [PDF]

, 2005
Many real-world search and optimization problems are naturally posed as non-linear programming problems having multiple objectives. Due to lack of suitable solution techniques, such problems are artificially converted into a single-objective problem ...
Deb, Kalyanmoy
core   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

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, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Tracking Variable Fitness Landscape in Dynamic Multi-Objective Optimization Using Adaptive Mutation and Crossover Operators

IEEE Access, 2020
Many real-world problems are modeled as multi-objective optimization problems whose optimal solutions change with time. These problems are commonly termed dynamic multi-objective optimization problems (DMOPs).
Ima Okon Essiet, Yanxia Sun
doaj   +1 more source

On the benefit of ∈-efficient solutions in multi objective space mission design [PDF]

, 2008
In this work we consider multi-objective space mission design problems. We will show that it makes sense from the practical point of view to consider in addition to the (Pareto) optimal solutions also nearly optimal ones since this increases ...
Coello Coello, C.A., Schuetze, O., Vasile, M.   +2 more
core  

Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries

Advanced Energy Materials, EarlyView.
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher, Katarzyna P. Sokol, Philipp Simons, Kun Joong Kim, Michael Foshey, Yunsheng Tian, Thorben Prein, Lincoln J. Miara, Elsa Olivetti, Wojciech Matusik, Jennifer L. M. Rupp   +10 more
wiley   +1 more source

Simultaneous multi-objective framework of natural gas pipeline network operations [PDF]

Chemical Industry and Chemical Engineering Quarterly
The optimization of gas transportation networks is essential as natural gas demand increases. Conflicting objectives, such as maximizing delivery flow rate, minimizing power consumption, and maximizing line pack, pose challenges in this context.
Mohamed Mostafa Hassanein Hussein
doaj   +1 more source