{"48994":{"#nid":"48994","#data":{"type":"event","title":"Stochastic dynamic predictions using Gaussian process models  for nanoparticle synthesis","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE: \u003C\/strong\u003EStochastic dynamic predictions using Gaussian process models for nanoparticle synthesis\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESPEAKER: \u003C\/strong\u003EAndres Felipe Hernandez Moreno and Professor Martha Grover\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EGaussian process model is an empirical modeling approach that has been \nwidely applied in engineering for the approximation of deterministic \nfunctions, due its flexibility and ability to interpolate observed data. \nDespite its statistical properties, Gaussian process models (GPM) have \nnot been employed to describe the dynamics of stochastic complex system \nlike nanoscale phenomena. This presentation describes the methodology to \nconstruct approximate models for multivariate stochastic dynamic \nsimulations using GPM, combining ideas from design of experiments, \nspatial statistics and dynamic systems modeling. In particular, the \neffect of sampling strategies in the identification and prediction of \nthe GPM is analyzed in detailed. The methodology is applied in the \nprediction of a dynamic size distribution during the synthesis of \nplatinum nanoparticles under supercritical CO_2 conditions.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Stochastic dynamic predictions using Gaussian process models for nanoparticle synthesis","format":"limited_html"}],"field_summary_sentence":[{"value":"Stochastic dynamic predictions using Gaussian process models   for nanoparticle synthesis"}],"uid":"27187","created_gmt":"2010-01-19 10:08:27","changed_gmt":"2016-10-08 01:49:32","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2010-01-22T11:00:00-05:00","event_time_end":"2010-01-22T12:00:00-05:00","event_time_end_last":"2010-01-22T12:00:00-05:00","gmt_time_start":"2010-01-22 16:00:00","gmt_time_end":"2010-01-22 17:00:00","gmt_time_end_last":"2010-01-22 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":["free_food"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"8262","name":"GPM"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}