MaterialsChemistry18Datasciencecananalyzebigdataandpredictthefuture,sothathasgreatpotentialtochangesocialstructure.Ifwecanapplydatasciencetochemicalexperiments,wecanexpecttobreakawayfromexistingresearchmethodsthatrelyonexperienceandintuitionanddevelophigh-performancematerialsinashortlaboratory,wearedevelopinghigh-performancecrystalsofenergy&environmentalmaterialsbyusingdatascience.Westudyexperimentaldatacollection,dataconversion,andmachinelearninganalysisforconstructionoffutureprediction/suggestionsystemfortheexperiments.Tetsuya YamadaForasustainablesociety,itisessentialtodevelophigh-performanceenvironmental&energymaterials.Oneofissuestobesolvedinmaterialsciencewouldbetimecostfordevelopmentofnewmaterials.Byconstructionofprocessinformaticssystemwithhighaccuracy,wewillhavenewtooltosupplyhigh-performancematerials,ondemandforeveryone.Studentscanlearnchemicalsyntheses,characterizations,andalsoapplicationofdatasciencetothematerialchemistries.DatascienceisnowprogressinginJapan.Bygettingtheaboveskills,theycanplayanactivepartinthescientificfieldforbigdatainnearfuture.Inourtime.Weuseliquid-phasecrystalgrowthmethod.Thefigureshowsvariousinorganiccrystalsgrowninourlab.Thecrystalsexhibitsurface-developed,high-qualitynatures.Weuseexperimentalgraphsandimagesformachinelearning(upperthesedatatonumericalparametersastrainingdata.Lowerfigureshowspredictionresultsofexperimentsusingmachinelearning.figures).WeconvertAssistant Professor・Ph.D. (Science), Graduate school of cience, Hokkaido University (2011).・Present career (2020-)・Current research topics : inorganic material chemistry, crystal growth, and data science.In the FutureAfter GraduationProcess Informatics for Energy & Environmental Crystalline Materials
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