In plain words

How much the switch-on voltage differs from one to the next. Chips with billions of transistors need them to be nearly identical, so large variation limits what can be built.

Going deeper

Left: three transfer curves of the same transistor design, shifted along the gate-voltage axis, with a bracket marking the spread in turn-on voltage. Right: the sources of that spread and the numbers measured on hundreds of CVD monolayer MoS₂ devices. the same design, different switch-on drain current gate voltage spread in turn-on voltage each transistor turns on at a slightly different voltage, and a circuit has to work with the whole spread, not the mean where the spread comes from trapped charge at the interface and in the oxide, varying from place to place thickness: one extra layer moves the band edges grain boundaries, wrinkles and residue contact resistance, which mimics a shift measured on CVD monolayer MoS₂ hundreds of devices over a square centimetre: charge and trap variation near 10¹¹ cm⁻², and bilayer patches offsetting the band by only 55 meV – ten times less than in thin silicon
Variability is the difference between a device and a technology. A circuit has to work with the whole distribution of turn-on voltages, not with the best device on the chip, which is why the spread – not the mean – sets what can be built.

Why sameness is the requirement

A single transistor with a record proves a material can work. A circuit needs millions of them to behave alike. Logic gates are designed with a voltage margin between what counts as a one and what counts as a zero, and every volt of threshold spread eats into that margin; memory cells, which balance two nearly identical devices against each other, are less forgiving still.

The practical consequence is that the supply voltage has to be raised until the worst devices still switch, which costs power everywhere. This is why variability, rather than average performance, is what turns a laboratory result into a process – and why the useful statistic is a distribution over hundreds of devices, with its tails, rather than a champion number.

What varies in an atomically thin channel

Silicon’s classic variability source – the random number of dopant atoms in a shrinking channel – does not apply, because 2D channels are usually undoped. What replaces it is mostly interfacial. Trapped charge in the and at its boundary with the channel shifts the threshold by however much charge happens to sit under each device, and it varies from place to place on a .

Thickness is the second source, and it is brutal in a material where one layer is the whole channel: a patch has different from a monolayer. from polycrystalline growth, wrinkles and folds from transfer, , and that varies from device to device all add their own contributions – and contact resistance in particular mimics a threshold shift in a transfer curve, so the two have to be separated deliberately.

Where the numbers stand

The most useful measurements are the ones made on hundreds of devices at a time. On chemical-vapour-deposited monolayer MoS2 with a clean fabrication flow, surface roughness came out near 3 Å, threshold variation and implied charge and trap densities varying by around 1011 cm−2, and mobility extracted three independent ways fell between 30 and 45 cm2/V/s from the tenth to the ninetieth percentile across more than a square centimetre.

The striking result in the same work is what bilayer patches cost: a conduction-band offset of about 55 meV, an order of magnitude smaller than the energy variations thickness fluctuations cause in silicon films of comparable thinness. That is an advantage of a layered channel – the thickness is quantised and the layers are bound by rather than bonds – and it is the kind of statistic that has to accompany a mobility number before anyone can design with it.

For specialists

The spread of turn-on voltage across devices; it limits circuit design margins and yield.

Where this comes from

  1. Low variability in synthetic monolayer MoS2 devices Smithe et al. · ACS Nano 11, 8456 (2017) cited by 207