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Reconciling ＂Micro＂ and ＂Macro＂ through Meso-Science

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Engineering 2017年第3期3卷 281-282页

作者： raffaella ocone School of Engineering and Physical Sciences Heriot-Watt University Edinburgh EH14 4AS UK

20世纪90年代,笔者受邀对中国科学院的李静海教授和郭慕孙教授的文章进行评审,其中阐述了能量最小多尺度(EMMS)的概念。EMMS理论在各种会议上已被充分讨论过,该理论也是李的博士论文的研究对象。当时看到这篇文章,我的第一印象就是这是... 详细信息

20世纪90年代,笔者受邀对中国科学院的李静海教授和郭慕孙教授的文章进行评审,其中阐述了能量最小多尺度(EMMS)的概念。EMMS理论在各种会议上已被充分讨论过,该理论也是李的博士论文的研究对象。当时看到这篇文章,我的第一印象就是这是一个很有意思的概念,但也不过是一个阐述考究的学术精品而已。该理论阐述严谨。

关键词： Li

Ethics in Engineering and the Role of Responsible Technology

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能源与人工智能(英文)

能源与人工智能(英文) 2020年第2期2卷 1-3页

作者： raffaella ocone School of Engineering and Physical Sciences Heriot-Watt UniversityEdinburgh EH144ASUnited Kingdom

The idea of writing an Editorial on Responsible Technology sprung from the plenary lecture that I gave at the at The First International Conference on Energy and AI in Tianjin,China,where this Journal was launched.It was January 2020 and it was only a few weeks before a major shock hit the world:nobody could have predicted the approach of a pandemic that would affect the lives of every single person in the world.Has the pandemic changed what I wanted to say in my Editorial?

关键词： Res lives wanted

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Energy and AI

能源与人工智能(英文)

能源与人工智能(英文) 2020年第1期1卷 1-5页

作者： Donghan Jin raffaella ocone Kui Jiao Jin Xuan Editor-in-Chief State Key Laboratory of EnginesTianjin University135 Yaguan RoadTianjinChina300350 Editor School of Engineering and Physical SciencesHeriot-Watt UniversityEdinburghUK Editor State Key Laboratory of EnginesTianjin University135 Yaguan RoadTianjinChina300350 Editor Department of Chemical EngineeringLoughborough UniversityLoughboroughUK

Intelligence is an attribute of human beings,it is an understanding,analyzing and decision-making process based on people’s perception of the world.Intelligence is enhanced by the interactions among different human beings and the physical world,and becomes the driving force for the development of our traditional society consisting of a physical space and a human social space.The rules of our traditional society are also formed and developed during such interactions.

关键词： driving interactions. perception

Multi-objective optimisation with hybrid machine learning strategy for complex catalytic processes

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能源与人工智能(英文)

能源与人工智能(英文) 2022年第1期7卷 120-130页

作者： Xin Yee Tai raffaella ocone Steven D.R.Christie Jin Xuan Department of Chemical Engineering Loughborough UniversityLoughboroughLE113TUUK School of Engineering&Physical Science Heriot-Watt UniversityEdinburghEH144ASUK Department of Chemistry Loughborough UniversityLoughboroughLE113TUUK

Catalytic chemical processes such as hydrocracking,gasification and pyrolysis play a vital role in the renewable energy and net zero transition.Due to the complex and non-linear behaviours during operation,catalytic chemical processes require a powerful modelling tool for prediction and optimisation for smart operation,speedy green process routes discovery and rapid process design.However,challenges remain due to the lack of an effective modelling and optimisation toolbox,which requires not only a precise analysis but also a fast optimisation.Here,we propose a hybrid machine learning strategy by embedding the physics-based continuum lumping kinetic model into the data-driven artificial neural network framework.This hybrid model is adopted as the surrogate model in the multi-objective optimisation and demonstrated in the benchmarking of a hydrocracking process.The results show that the novel hybrid surrogate model exhibits the mean square error less than 0.01 by comparing with the physics-based simulation results.This well-trained hybrid model was then integrated with non-dominated-sort genetic algorithm(NSGA-II)as the surrogate model to evaluate and optimise the yield and selectivity of the hydrocracking process.The Pareto front from the multi-objective optimisation was able to identify the trade-off curve between the objective functions which is essential for the decision-making during process design.Our work indicates that adopting the hybrid machine learning strategy as the surrogate model in the multi-objective optimisation is a promising approach in various complex catalytic chemical processes to enable an accurate computation as well as a rapid optimisation.

关键词： Hybrid surrogate model Hybrid machine learning Multi-objective optimisation Catalytic chemical process

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农药微胶囊剂

湖北化工 1986年第3期 46-48页

作者：王纪珂 Luke R.ocone

农药的使用剂型必须具有生物活性,使用方便和安全的性能。可是,大田使用经验表明,早期的农药剂型并不总是象人们所期望的那样安全可靠。再说,工业和民众所愿意接受的风险在不断地下降,而对于安全方面的要求逐渐提高。

关键词：微胶囊剂经皮毒性微囊剂毒力农药剂型甲基1605 甲基对硫磷微胶囊化活性组分