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037 _ _ |a FZJ-2022-00669
100 1 _ |a Wuttig, Matthias
|0 P:(DE-Juel1)176716
|b 0
|e Corresponding author
|u fzj
111 2 _ |a MRS Fall Meeting
|c Boston
|d 2021-12-06 - 2021-12-08
|w USA
245 _ _ |a Functional Materials by Design:Developing Treasure Maps with Quantum Chemistry
260 _ _ |c 2021
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
|b conf
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|s 1642491870_24691
|2 PUB:(DE-HGF)
|x Invited
520 _ _ |a Scientists and practitioners have long dreamt of designing materials with novel properties. Yet, a hundred years after quantum mechanics lay the foundations for a systematic description of the properties of solids, it is still not possible to predict the best material in applications such as photovoltaics, superconductivity or thermoelectric energy conversion. This is a sign of the complexity of the problem, which is often exacerbated by the need to optimize conflicting material properties. Hence, one can ponder if design routes for materials can be devised. In recent years, the focus of our work has been on designing advanced functional materials with attractive opto-electronic properties, including phase change materials, thermoelectrics, photonic switches and materials for photovoltaics. To reach this goal, one can try to establish close links between material properties and chemical bonding. However, until recently it was quite difficult to adequately quantify chemical bonds. Some developments in the last decades, such as the quantum theory of atoms in molecules [1] have provided the necessary tools to describe bonds in solids quantitatively. Using these tools, it has been possible to devise a map which separates different bonding mechanisms [2]. This map can now be employed to correlate chemical bonding with material properties [3]. Machine learning and property classification demonstrate the potential of this approach. These insights are subsequently employed to design phase change as well as thermoelectric materials [4,5]. Yet, the discoveries presented here also force us to revisit the concept of chemical bonds and bring back a history of vivid scientific disputes about ‘the nature of the chemical bond’.
536 _ _ |a 5233 - Memristive Materials and Devices (POF4-523)
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909 C O |o oai:juser.fz-juelich.de:905428
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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913 1 _ |a DE-HGF
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|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5233
|x 0
914 1 _ |y 2021
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-10-20170113
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|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-10-20170113
980 _ _ |a UNRESTRICTED


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