首页|New Findings in Machine Learning Described from Nanjing University of Science an d Technology (Micro-scale Crystallization Thermodynamics Study of Typical Energe tic Compounds Integrating Optofluidics and Machine Learning)
New Findings in Machine Learning Described from Nanjing University of Science an d Technology (Micro-scale Crystallization Thermodynamics Study of Typical Energe tic Compounds Integrating Optofluidics and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily NewsFresh data on Machine Learning are presented in a new report. According to news reporting out of Nanjing, People's Republic of Ch ina, by NewsRx editors, research stated, "With the aim of investigating the chan ging law of crystallization driving force of typical energetic compounds under m icro-scale crystallization conditions, a thermodynamic parameter determination m ethod based on optofluidics was proposed. Aimed at nitro, nitramine and nitrate explosives in energetic compounds, hexanitrostilbene (HNS), cyclotetramethylene tetranitramine (HMX) and pentaerythritol tetranitrate (PETN) were selected as re presentatives, the solubility of the three kinds of energetic compounds in their respective commonly used solvents (HNS: in DMF, DMSO, NMP; HMX: in DMF, DMSO, C YC; PETN: in DMF, DMSO, EAc) at different temperatures were determined."
NanjingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningPhysicsThermodynamicsNa njing University of Science and Technology
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