diff --git a/poster/baybe-one-more-time.png b/poster/baybe-one-more-time.png index 21caa8e..825ee2c 100644 Binary files a/poster/baybe-one-more-time.png and b/poster/baybe-one-more-time.png differ diff --git a/poster/baybe-one-more-time.svg b/poster/baybe-one-more-time.svg index f084dbc..d40083a 100644 --- a/poster/baybe-one-more-time.svg +++ b/poster/baybe-one-more-time.svg @@ -449,7 +449,7 @@ inkscape:cx="2274.2186" inkscape:cy="1722.6552" inkscape:document-units="mm" - inkscape:current-layer="layer1" + inkscape:current-layer="g162597" showgrid="false" inkscape:object-nodes="true" inkscape:snap-smooth-nodes="true" @@ -44766,11 +44766,11 @@ SUVORK5CYII= y="90.697319" style="font-style:normal;font-variant:normal;font-weight:500;font-stretch:normal;font-size:108px;font-family:Poppins;-inkscape-font-specification:'Poppins Medium';fill:#0f69af;fill-opacity:1" id="tspan26073">BayBE OneMore TimeExploring Corrosion Inhibitors for Materials DesignBayBE One More Time – Exploring Corrosion Inhibitors for Materials DesignDo you know this feeling?Do you know this feeling? You are stuck in the lab You are stuck in the lab because you really have to find this one corrosion because you really have to find this one corrosion inhibitor to replace your current toxic chromate inhibitor to replace your current toxic chromate solution but you don't know where to start looking? + id="tspan270007">solution but you don't know where to start looking? + id="tspan270011"> What do you say?What do you say? There are actually billions over There are actually billions over billions candidates you would need to test to find a billions candidates you would need to test to find a suitable candidate? This costs money, time and suitable candidate? This costs money, time and resources you don't have? + id="tspan270029">resources you don't have? Say no more, the Say no more, the SSurface Science Syndicateurface Science Syndicate got got your back. Why don't you use your back. Why don't you use bayesian bayesian optimizationoptimization with with BayBEBayBE to find a new corrosion to find a new corrosion inhibitor and ditch your traditional DoE strategy for inhibitor and ditch your traditional DoE strategy for something shiny, new and cool (and actually something shiny, new and cool (and actually working)? Let us tell you more about it below. + id="tspan270067">working)? Let us tell you more about it below. + id="tspan270071"> + id="tspan270075"> FOLLOW USFOLLOW US + id="tspan270081"> Instead of hitting the lab millions of Instead of hitting the lab millions of times without actually knowing times without actually knowing exactly what you should best do exactly what you should best do next, how about you let BayBE next, how about you let BayBE decide on that... + id="tspan270093">decide on that... + id="tspan270095"> Hit me BayBE one more time! + id="tspan270097">Hit me BayBE one more time! By choosing suitable By choosing suitable chemical descriptors, chemical descriptors, bayesian optimization with bayesian optimization with BayBE significantly BayBE significantly improves the timeimproves the time until a until a suitable corrosion inhibitor suitable corrosion inhibitor is found in a given chemical is found in a given chemical space. + id="tspan270131">space. + id="tspan270133"> Here, Here, featurization is key featurization is key and largely impacts the and largely impacts the number of required number of required experimental loops! So experimental loops! So adapt your descriptors to adapt your descriptors to your domain. + id="tspan270155">your domain. OutlookOutlook + id="tspan270159"> Inhibitor discovery - Inhibitor discovery - Transfer Learning to Transfer Learning to find new corrosion inhibitors for other find new corrosion inhibitors for other materials faster + id="tspan270173">materials faster + id="tspan270177"> Available datasets can be used to Available datasets can be used to accelerate the discovery of new accelerate the discovery of new corrosion inhibitors also for other corrosion inhibitors also for other metals via metals via Transfer LearningTransfer Learning. .