保留
发表于 2025-3-25 06:26:17
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秘密会议
发表于 2025-3-25 10:20:25
Acetone-Water Mixtures: Molecular Dynamics Using a Semiempirical Intermolecular Potentialcetone interaction is presented. To this purpose we have considered four interaction centers on the acetone molecule and only one on the small water molecule. Then, the non electrostatic intermolecular interaction between pairs of interaction centers placed on different molecules has been modeled ad
Exterior
发表于 2025-3-25 12:39:02
Synchronized Content and Metadata Management in a Federation of Distributed Repositories of Chemicalctic-scientific material, its properties and its locations. A shared metadata database is the synchronization point of reference and it allows to improve performance in terms of searching and downloading. The proposed federation is meant to deal with a large variety of different contents though the
冒号
发表于 2025-3-25 16:32:02
Open Molecular Science for the Open Science Cloudpilots have been selected to provide its core services. In this paper, the characteristics of the (not selected for funding) Open Molecular Science pilot SUMO-Chem are described and further referring to two particularly innovative services: the distributed ab initio collaborative simulator of molecu
painkillers
发表于 2025-3-25 20:18:56
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Processes
发表于 2025-3-26 02:11:09
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Macronutrients
发表于 2025-3-26 07:50:22
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PAEAN
发表于 2025-3-26 12:04:29
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公式
发表于 2025-3-26 15:22:53
Continuous Relaxation of MINLP Problems by Penalty Functions: A Practical Comparisonch relies on the continuous relaxation of the MINLP problem by adding a specific penalty term to the objective function. A new penalty algorithm that addresses simultaneously the reduction of the error tolerances for optimality and feasibility, as well as the reduction of the penalty parameter, is d
ANTE
发表于 2025-3-26 18:27:38
Combining Filter Method and Dynamically Dimensioned Search for Constrained Global Optimizationex constrained global optimization problems. The DDS is a stochastic global algorithm for solving bound constrained problems that in each iteration generates a randomly trial point perturbing some coordinates of the current best point. The filter technique controls the progress related to optimality