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Towards peptide-based tunable multistate memristive materials
- Source :
- Salvador Cardona-Serra, Lorena E. Rosaleny, Silvia Giménez-Santamarina, Luis Martínez-Gil, Alejandro Gaita-Ariño, Phys. Chem. Chem. Phys., 2021, 23, 1802-1810, RODERIC: Repositorio Institucional de la Universitat de Valéncia, Universitat de València, RODERIC. Repositorio Institucional de la Universitat de Valéncia, instname, Physical Chemistry Chemical Physics
- Publication Year :
- 2020
-
Abstract
- Development of new memristive hardware is a technological requirement towards widespread neuromorphic computing. Molecular spintronics seems to be a fertile field for the design and preparation of this hardware. Within molecular spintronics, recent results on metallopeptides demonstrating the interaction between paramagnetic ions and the chirality induced spin selectivity effect hold particular promise for developing fast (ns–μs) operation times. [R. Torres-Cavanillas et al., J. Am. Chem. Soc., 2020, DOI: 10.1021/jacs.0c07531]. Among the challenges in the field, a major highlight is the difficulty in modelling the spin dynamics in these complex systems, but at the same time the use of inexpensive methods has already allowed progress in that direction. Finally, we discuss the unique potential of biomolecules for the design of multistate memristors with a controlled- and indeed, programmable-nanostructure, allowing going beyond anything that is conceivable by employing conventional coordination chemistry. ERC-CoG DECRESIM 647301 COST-MOLSPIN-CA15128 CTQ2017-8952 CEX2019-000919-M Prometeo Program of Excellence PRECOMP14-202646 Development of new memristive hardware is a technological requirement towards widespread neuromorphic computing. Molecular spintronics seems to be a fertile field for the design and preparation of this hardware. Within molecular spintronics, recent results on metallopeptides demonstrating the interaction between paramagnetic ions and the chirality induced spin selectivity effect hold particular promise for developing fast (ns–μs) operation times. [R. Torres-Cavanillas et al., J. Am. Chem. Soc., 2020, DOI: 10.1021/jacs.0c07531]. Among the challenges in the field, a major highlight is the difficulty in modelling the spin dynamics in these complex systems, but at the same time the use of inexpensive methods has already allowed progress in that direction. Finally, we discuss the unique potential of biomolecules for the design of multistate memristors with a controlled- and indeed, programmable-nanostructure, allowing going beyond anything that is conceivable by employing conventional coordination chemistry.
- Subjects :
- Spintronics
Spin dynamics
Base Sequence
Computer science
UNESCO::QUÍMICA
Complex system
General Physics and Astronomy
Nanotechnology
02 engineering and technology
Memristor
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Lanthanoid Series Elements
QUÍMICA [UNESCO]
0104 chemical sciences
law.invention
Neuromorphic engineering
law
Metalloproteins
Amino Acid Sequence
Neural Networks, Computer
Physical and Theoretical Chemistry
0210 nano-technology
Peptides
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Salvador Cardona-Serra, Lorena E. Rosaleny, Silvia Giménez-Santamarina, Luis Martínez-Gil, Alejandro Gaita-Ariño, Phys. Chem. Chem. Phys., 2021, 23, 1802-1810, RODERIC: Repositorio Institucional de la Universitat de Valéncia, Universitat de València, RODERIC. Repositorio Institucional de la Universitat de Valéncia, instname, Physical Chemistry Chemical Physics
- Accession number :
- edsair.doi.dedup.....57b93df0a75d6cefa2c14ee0ba31f29a