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Precipitation Gravimetry

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...

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Facile Synthesis of Colloidal Lead Halide Perovskite Nanoplatelets via Ligand-Assisted Reprecipitation

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Efficient Probabilistic Computing with Stochastic Perovskite Nickelates.

Tae Joon Park¹, Kemal Selcuk², Hai-Tian Zhang¹

¹School of Materials Engineering, Purdue University, West Lafayette, Indiana47907, United States.

|October 31, 2022

Summary

This summary is machine-generated.

We demonstrate electric-field controlled stochastic resistance switching in hydrogen-doped perovskite nickelates. This enables energy-efficient solutions for complex optimization problems using probabilistic computing architectures.

Keywords:

complex oxide hydrogen metal−insulator transition neuromorphic computing perovskite nickelates probabilistic computing

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Area of Science:

Materials Science
Condensed Matter Physics
Computer Science

Background:

Probabilistic computing offers a novel approach to tackle complex optimization challenges.
Implementing stochasticity in electronic hardware is crucial for efficient probabilistic computing.

Purpose of the Study:

To investigate intrinsic stochastic resistance switching in hydrogen-doped perovskite nickelates.
To explore the potential of these materials for probabilistic computing applications.

Main Methods:

Utilizing electric fields to control stochastic resistance switching in perovskite nickelates.
Characterizing the resulting p-bits (probabilistic bits).
Implementing a shared-synapse p-bit architecture for problem-solving.

Main Results:

Demonstrated intrinsic stochastic resistance switching controlled by electric fields.
Showcased highly parallelized and energy-efficient solutions for integer factorization and Boolean satisfiability.
Identified hydrogen-doped perovskite nickelates as promising candidates for probabilistic computing.

Conclusions:

Perovskite nickelates are scalable candidates for probabilistic computing hardware.
Light-element dopants can enhance the functionality of correlated semiconductors for next-generation computing.