Results 71 to 80 of about 31,789 (298)

Amortized Active Generation of Pareto Sets

open access: yesCoRR
Appears in the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
Daniel M. Steinberg   +5 more
openaire   +2 more sources

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced 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

Optimal controller comparison using Pareto fronts

open access: yes, 2010
Includes abstract.Includes bibliographical references (leaves 131-133).New design methods in Control Systems are regularly proposed. These new methods are typically compared to existing methods in a focused manner that highlights certain criteria, but ...
David Moore, Moore, David
core   +1 more source

Parameterized Algorithms for Computing Pareto Sets

open access: yesCoRR
Dynamic programming over tree decompositions is a common technique in parameterized algorithms. In this paper, we study whether this technique can also be applied to compute Pareto sets of multiobjective optimization problems. We first derive an algorithm to compute the Pareto set for the multicriteria s-t cut problem and show how this result can be ...
Könen, Joshua Marc   +2 more
openaire   +3 more sources

Evolved GANs for generating pareto set approximations

open access: yesProceedings of the Genetic and Evolutionary Computation Conference, 2018
Basque Government: IT-609-13, Spanish Ministry of Economy, Industry and Competitiveness: TIN2016-78365-R, University of the Basque Country: PIF16 ...
Unai Garciarena   +2 more
openaire   +2 more sources

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Multi-attribute concept design procedure of a generic naval vessel

open access: yesAlexandria Engineering Journal, 2020
This paper presents a multi-attribute concept design procedure of a generic naval vessel. The procedure generates a set of Pareto optimal design solutions of up to corvette size vessels. It is composed of the self-balanced concept design model and of the
Andrija Ljulj   +2 more
doaj   +1 more source

An algorithm for approximating the Pareto set of the multiobjective set covering problem

open access: yesAnnals of Operations Research, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lakmali Weerasena   +2 more
openaire   +3 more sources

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

open access: yesAdvanced 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

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

open access: yesAdvanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang   +8 more
wiley   +1 more source

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