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Volatilization

Volatilization

Volatilization gravimetry is an analytical technique that measures the mass lost due to the volatilization of the substance. This technique is used to estimate the amount of volatile material in a sample. To perform this method, heat a known amount of the sample to a high temperature in a crucible or other suitable vessel. The volatile substance in the sample evaporates, and the vapor is completely expelled from the crucible either by heating the sample or bubbling a stream of inert gas through...

Oxidation Numbers

Oxidation Numbers

In redox reactions, the transfer of electrons occurs between reacting species. Electron transfer is described by a hypothetical number called the oxidation number (or oxidation state). It represents the effective charge of an atom or element, which is assigned using a set of rules.

Alkali Metals

Alkali Metals

Group 1 elements are soft and shiny metallic solids. They are malleable, ductile, and good conductors of heat and electricity. The melting points of the alkali metals are unusually low for metals and decrease going down the group, while the density increases going down the group with the exception of potassium (Table 1).
Table 1: Properties of the alkali metals

Properties of Transition Metals

Properties of Transition Metals

Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.

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Metal-Ligand Bonds

The hemoglobin in the blood, the chlorophyll in green plants, vitamin B-12, and the catalyst used in the manufacture of polyethylene all contain coordination compounds. Ions of the metals, especially the transition metals, are likely to form complexes.
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Related Experiment Video

Updated: Jan 31, 2026

A Method for Growing Bio-memristors from Slime Mold

A Method for Growing Bio-memristors from Slime Mold

Published on: November 2, 2017

Spike sorting using non-volatile metal-oxide memristors.

Isha Gupta¹, Alexantrou Serb, Ali Khiat

¹Electronic Materials and Devices Research Group, Zepler Institute for Photonics and Nanoelectronics, University of Southampton, SO17 1BJ, Southampton, UK. I.Gupta@soton.ac.uk.

Faraday Discussions

|December 20, 2018

Summary

This summary is machine-generated.

Memristive devices can now perform spike sorting for neural data analysis directly on a single chip. This breakthrough offers efficient in situ computation for neuroprosthetics without extra power consumption.

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Area of Science:

Neuroscience
Materials Science
Computer Engineering

Background:

Advancements in electrophysiological techniques and implantable microelectrode technology are enabling neuroprosthetics.
High data rates and power limitations necessitate efficient in situ computation for neural data, especially for event classification.

Purpose of the Study:

To demonstrate the use of memristive devices for in situ spike sorting.
To leverage the analogue programmability of memristors for neural data processing.

Main Methods:

Utilized nanoscale memristors and their intrinsic analogue programmability.
Exploited the physical properties of memristive devices for signal capture and processing.

Main Results:

Successfully performed spike sorting using single memristive devices.
Demonstrated that memristors can capture sufficient neural signal information for spike detection and sorting.

Conclusions:

Memristive devices offer a power-efficient solution for in situ spike sorting in neuroprosthetics.
The physical properties of memristors can be harnessed for computationally intensive neural data analysis.