000905437 001__ 905437
000905437 005__ 20220131120331.0
000905437 037__ $$aFZJ-2022-00678
000905437 1001_ $$0P:(DE-Juel1)176716$$aWuttig, Matthias$$b0$$eCorresponding author$$ufzj
000905437 1112_ $$aMRS India$$cvirtual$$d2021-12-20 - 2021-12-22$$wIndia
000905437 245__ $$aCrystallization and Vitrification Kinetics by Design: The Role of Chemical Bonding
000905437 260__ $$c2021
000905437 3367_ $$033$$2EndNote$$aConference Paper
000905437 3367_ $$2DataCite$$aOther
000905437 3367_ $$2BibTeX$$aINPROCEEDINGS
000905437 3367_ $$2DRIVER$$aconferenceObject
000905437 3367_ $$2ORCID$$aLECTURE_SPEECH
000905437 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1642494360_18034$$xInvited
000905437 520__ $$aControlling a state of material between its crystalline and glassy phase has fostered many real-world applications. Nevertheless, design rules for crystallization and vitrification kinetics still lack predictive power. Here, we identify stoichiometry trends for these processes in phase change materials, i.e. along the GeTe-GeSe, GeTe-SnTe, and GeTe-Sb2Te3 pseudo-binary lines employing a pump-probe laser setup and calorimetry. We discover a clear stoichiometry dependence of crystallization speed along a line connecting regions characterized by two fundamental bonding types, metallic and covalent bonding. Increasing covalency slows down crystallization by six orders of magnitude and promotes vitrification. The stoichiometry dependence is correlated with material properties, such as the optical properties of the crystalline phase and a bond indicator, the number of electrons shared between adjacent atoms. A quantum-chemical map explains these trends and provides a blueprint to design crystallization kinetics.
000905437 536__ $$0G:(DE-HGF)POF4-5233$$a5233 - Memristive Materials and Devices (POF4-523)$$cPOF4-523$$fPOF IV$$x0
000905437 909CO $$ooai:juser.fz-juelich.de:905437$$pVDB
000905437 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176716$$aForschungszentrum Jülich$$b0$$kFZJ
000905437 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5233$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
000905437 9141_ $$y2021
000905437 920__ $$lyes
000905437 9201_ $$0I:(DE-Juel1)PGI-10-20170113$$kPGI-10$$lJARA Institut Green IT$$x0
000905437 980__ $$aconf
000905437 980__ $$aVDB
000905437 980__ $$aI:(DE-Juel1)PGI-10-20170113
000905437 980__ $$aUNRESTRICTED