Contents - Max-Planck-Institut für Physik komplexer Systeme
Contents - Max-Planck-Institut für Physik komplexer Systeme
Contents - Max-Planck-Institut für Physik komplexer Systeme
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
• Prof. Dr. DirkMorrfromtheUniversityofIllinoisatChicago. TogetherwithD.Morrand<br />
hisgroupwepursuethequestionofhowsitedisorderinfluencesthequantumcriticalproperties<br />
oftheKondolattice. Inaddition,weintendtodevelopatheoreticalframeworkfor’quasiparticle<br />
interferenceimaging’basedonaSU(N)approachthatislikelytoberelevanttoupcomingscanning<br />
tunnelingmicroscopymeasurementsondopedYbRh2Si2.Quasiparticleinterferenceshaverecently<br />
beenutilizedinthehiddenordercompoundURu2Si2bytheDavisgrouptotracetheevolutionof<br />
thebandstructureacrossthehiddenordertransition(A.Schmidtetal.,Nature465,570(2010)).<br />
• Prof.Dr.HansKrohafromUniversitätBonn.Whileanumberofnumericaltoolsexisttotreatthe<br />
short-timeevolutionofstronglycorrelatedsystems,thelong-timelimitofnon-stationaryproblems<br />
hasnotreceivedmuchattention. TogetherwiththegroupofHansKroha,weaimatdeveloping<br />
techniquesforthelong-timelimitofperiodicallydrivenstronglyinteractingsystems.<br />
• Prof. Dr. CarlosBolechwhoiscurrentlyattheUniversityofCincinnatiandProf. Dr. Enrique<br />
MunotzTaverafromthePontificiaUniversidadCatólicainValparaiso,Chile. Inthisprojectwe<br />
centerourattentiononsteady-statetransportthroughsingle-moleculesingle-electrontransistors.<br />
Thegoalistoidentifytheoriginofdifferentvoltagescalingcoefficientsseenindifferentexperiments<br />
thatareatvariancewithexpectationsofuniversality.<br />
Jointresearchprogram mpipksandMPI-CBG<br />
Thejointresearchprogram’PhysicsofBiologicalSystems’betweenthe<strong>Max</strong><strong>Planck</strong><strong>Institut</strong>eforthe<br />
PhysicsofComplexSystemsandthe<strong>Max</strong><strong>Planck</strong> <strong>Institut</strong>eof MolecularCellBiology andGenetics<br />
strengthensthecollaborationsbetweenthesetwoinstitutesinDresden. Theobjectiveoftheprogram<br />
istodevelopphysicaltechniques-bothexperimentalandtheoretical-foranalyzingbiologicalsystems.<br />
Theprogramwasstartedin2004,andthreeJuniorResearchGroupsatbothinstitutesparticipate.The<br />
groupofDr. ThiloGross(DynamicsofBiologicalNetworks)islocatedatthe mpipksandworkson<br />
structuralanddynamicalaspectsofcomplexbiologicalnetworks.ThegroupofDr.IvaTolić-Nørrelykke<br />
(InteriorDesignoftheCell)islocatedatthe<strong>Max</strong><strong>Planck</strong><strong>Institut</strong>eofMolecularCellBiologyandGeneticsandstudieshowthecellorganizesitsinterioroveritslifetime.<br />
ThegroupofDr. StephanGrill<br />
(MotorSystems)islocatedatbothinstitutesandaddressescell-scaleemergentphysicalpropertiesand<br />
thecollectivefunctionofmolecularmachines.Anumberofcollaborations,jointgroup-meetings,anda<br />
seminarseriesonthePhysicsofBiologicalSystemsallowforhighlevelsofinteractionbetweentheseand<br />
othergroupswithinbothinstitutes. Thisprogramcontinuestoprovideauniqueresearchenvironment<br />
bringingtogetherexperimentalbiologyandtheoreticalphysicstoshedlightonthephysicalprinciplesthat<br />
underlielivingsystems.<br />
JuniorResearchGroup:DynamicsofBiologicalNetworks<br />
(Head:Dr.ThiloGross)<br />
Inbiology,networksappearinmanydifferentcontextsandonmanydifferentscales,rangingfromgeneregulationtosocieties.Ourknowledgeofthestructureofthesenetworksadvancesrapidlybecauseofthe<br />
twogreatrevolutionsofourtime;progressinexperimentalbiologycontinuestoelucidatethenetworkson<br />
themolecularlevel,meanwhilethewidespreaduseofnovelformsofelectroniccommunicationprovides<br />
dataonhumaninteractions.Althoughthestructureofmanyimportantnetworksisthusbeinguncovered,<br />
thefunctioningandfailureofthesenetworksisoftenlinkedtotheirdynamicalratherthanstructural<br />
properties.Efficienttoolsarethereforeneededtomakepredictionsonthedynamicsthatcanbesustained<br />
byanetworkwithaknownorpurportedstructure.Thegroupdynamicsofbiologicalnetworksusesinsights<br />
fromnonlineardynamicsandstatisticalphysicstodevelopnewapproachestonetworkdynamics.While<br />
thetoolsofnonlineardynamicswereprimarilydevelopedforapplicationtolow-dimensionalsystems,<br />
networksareinherentlyhigh-dimensional. Forapplyingthesetoolsonethereforeeitherhastoextend<br />
thetoolsofnonlineardynamicsorfindproperlow-dimensionaldescriptionsofnetworks.Inourworkwe<br />
followbothoftheseapproachestwodifferentcontexts.<br />
GeneralizedModels.Looselyspeaking,ageneralizedmodelisasystemofdifferentialequationsinwhich<br />
termsappearthatarenotrestrictedtospecificfunctionalforms.Incomparisontoconventionalmodeling<br />
approaches,generalizedmodelsrevealonlylimitedinformation,butdosowithhigherdegreesofgenerality<br />
30 ScientificWorkanditsOrganizationatthe<strong>Institut</strong>e–anOverview