Results 71 to 80 of about 1,432,311 (298)
Broadening Hard‐Magnet Discovery Beyond Symmetry Constraints via Unified Effective Anisotropy
Advanced Science, EarlyView.A unified effective‐anisotropy descriptor (Keff) extends hard‐magnet screening across all seven crystal systems, beyond the uniaxial restriction of conventional searches. Machine‐learning screening of 9320 known ferromagnets and diffusion‐model generation together yield 38 rare‐earth‐free or ‐lean candidates with DFT‐validated magnetic hardness (κ > 1),
Hojae Kim +5 more
wiley +1 more source
Ain Shams Engineering Journal, 2019 In this paper, the application of three well-known multi-objective optimization algorithms to water distribution network (WDN) optimum design has been considered.
H. Monsef +3 more
doaj +1 more source
Pareto Front Approximation Using a Hybrid Approach [PDF]
, 2013 A new method is proposed for approximating a Pareto front of a bound constrained biobjective optimization problem (BOP) where the evaluation of the objective functions is very expensive and/or the structure of the objective functions either cannot be ...
Deshpande, Shubhangi +2 more
core +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
AMB ExpressT and B cell activation are equally important in triggering and orchestrating adaptive host responses to design multi-epitope African swine fever virus (ASFV) vaccines.
Ting-Yu Chen +5 more
doaj +1 more source
Advanced Science, EarlyView.A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Modelling and Simulation in Engineering, 2017 Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. This paper proposes a novel
Vimal Savsani +3 more
doaj +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Advanced Science, EarlyView.To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Redundancy and delimitation of the Pareto front
Operational ResearchAbstract The purpose of this paper is to investigate the constraints shaping the Pareto front in multi-objective linear programming, by applying recently proposed single-objective optimization methods to individual linear programming problems, constructed from the given problem.
openaire +2 more sources