Results 51 to 60 of about 853,756 (250)

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

A proposed method for solving multiobjective linear fractional programming problems with rough coefficients [PDF]

Delta Journal of Science, 2016
In this paper, a new method for solving multiobjective linear fractional programming problems with roughcoefficient (MORLFP) is proposed. The MORLFP problem is considered by incorporating rough intervals in thecoefficients of the objective functions.
Mohamed Muamer, El-saeed Ammar
doaj   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator

Advanced Intelligent Systems, EarlyView.
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su, Zerui Li, Lijun Fang, Hoyeon Kim, U Kei Cheang   +4 more
wiley   +1 more source

Multiobjective genetic programming for financial portfolio management in dynamic environments [PDF]

, 2010
Multiobjective (MO) optimisation is a useful technique for evolving portfolio optimisation solutions that span a range from high-return/high-risk to low-return/low-risk.
Hassan, G.N.A.
core  

HeaTrace: A Parametric Design‐to‐Fabrication Workflow for Thermally Programmable Soft Robots

Advanced Intelligent Systems, EarlyView.
A programmable thermal actuation workflow enables soft robots to be designed and fabricated with embedded heaters that drive multiple responses. By combining performance‐driven heater design with multimaterial fabrication, the system supports thermally triggered shape change, stiffness tuning, and thermochromic visual response, as demonstrated through ...
Naresh Kumar Thanigaivel, Thileepan Stalin, Elgar Kanhere, Aby Raj Plamootil Mathai, Konstantin Sakharov, Yong Lin, Hirusha Madhuwantha Loku Hettige, Gumawang Hiramandala, Shlomo Magdassi, Pablo Valdivia Y Alvarado   +9 more
wiley   +1 more source

A neural network approach to multiobjective and multilevel programming problems

, 2009
This study aims at utilizing the dynamic behavior of artificial neural networks (ANNs) to solve multiobjective programming (MOP) and multilevel programming (MLP) problems.
時序時; Shih, Hsu-shih; Wen, Ue-pyng; Lee, S.; Lan, Kuen-ming; Hsiao, Han-chyi
core   +1 more source

Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints [PDF]

Decision Science Letters, 2015
This paper presents an alternate technique based on fuzzy goal programming (FGP) approach to solve multi-objective programming problem with fuzzy relational equations (FREs) as constraints.
Kailash Lachhwani
doaj   +1 more source

A Semidefinite Programming approach for solving Multiobjective Linear Programming [PDF]

Journal of Global Optimization, 2013
Several algorithms are available in the literature for finding the entire set of Pareto-optimal solutions in MultiObjective Linear Programming (MOLP). However, it has not been proposed so far an interior point algorithm that finds all Pareto-optimal solutions of MOLP.
Víctor Blanco, Justo Puerto, Safae El-Haj Ben-Ali   +2 more
openaire   +4 more sources

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source