首页|Massachusetts Institute of Technology Reports Findings in Machine Learning [Machine Learning Prediction of the Experimental Transition Temperature of Fe(Ⅱ) Spin-Crossover Complexes]
Massachusetts Institute of Technology Reports Findings in Machine Learning [Machine Learning Prediction of the Experimental Transition Temperature of Fe(Ⅱ) Spin-Crossover Complexes]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Cambridge, Massachusetts, by NewsRx journalists, research stated, “Spin-crossover(SCO) complexes are materials that exhibit changes in the spin state in response to external stimuli, withpotential applications in molecular electronics. It is challenging to know a priori how to design ligands toachieve the delicate balance of entropic and enthalpic contributions needed to tailor a transition temperatureclose to room temperature.”
CambridgeMassachusettsUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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