Potential-pH Diagram (Pourbaix Diagram)

Thixotropy and rheopexy describe time-dependent changes in viscosity. A thixotropic fluid's viscosity decreases over time under constant shear stress (e.g., yogurt becomes runnier when stirred). A rheopectic (or anti-thixotropic) fluid's viscosity increases over time under constant shear (e.g., some lubricants). These effects are reversible; the fluid returns to its original state after a period of rest.

A quantum mechanical phenomenon where a wavefunction can propagate through a potential energy barrier. Classically, a particle lacking sufficient energy to surmount a barrier would be reflected. However, due to the wave-like nature of particles, there is a non-zero probability that the particle can appear on the other side of the barrier, effectively 'tunneling' through it.

The Weissenberg effect is a phenomenon in viscoelastic fluids where the fluid climbs up a rotating rod inserted into it. This is contrary to the behavior of Newtonian fluids, which are pushed outwards by centrifugal force, forming a vortex. The effect is caused by normal stress differences that develop in the fluid under shear.

Digital circuits are categorized into two main types: combinational and sequential logic. In combinational logic, the output is a pure function of the present input values only (e.g., an adder). In sequential logic, the output depends not only on the current inputs but also on the past sequence of inputs, as these circuits have memory elements (e.g., a flip-flop).

The Deborah number is a dimensionless quantity in rheology, used to characterize the fluidity of materials. It is the ratio of the relaxation time, which is an intrinsic property of the material, to the characteristic time scale of the experiment or observation. The formula is \(De = \frac{t_c}{t_p}\), where \(t_c\) is the relaxation time and \(t_p\) is the observation time.

Repeatability assesses precision under identical conditions, while reproducibility assesses precision when one or more conditions change, such as the operator, instrument, or location. Reproducibility variance is always greater than or equal to repeatability variance. This distinction is crucial for understanding measurement variability, especially in inter-laboratory comparisons where conditions are inherently different.

Quantum statistics modifies classical statistical mechanics to account for the indistinguishability of identical particles. It splits into two types: Fermi-Dirac statistics for fermions (half-integer spin particles like electrons), which obey the Pauli exclusion principle, and Bose-Einstein statistics for bosons (integer spin particles like photons), which can occupy the same quantum state. This distinction is crucial at low temperatures and high densities.

It is impossible to simultaneously know with perfect accuracy certain pairs of complementary physical properties of a particle. The most common example is the position \(x\) and momentum \(p\). The principle states that the product of their uncertainties, \(\Delta x\) and \(\Delta p\), must be greater than or equal to a specific value: \(\Delta x \Delta p \ge \frac{\hbar}{2}\).

A non-Newtonian fluid is one whose viscosity changes under an applied shear stress. Unlike a Newtonian fluid where viscosity is constant, its flow properties are not described by a linear relationship between shear stress (\(\tau\)) and shear rate (\(\dot{gamma}\)). This dependency can manifest as shear-thinning (viscosity decreases with stress) or shear-thickening (viscosity increases with stress).

Plasticity is the theory describing the deformation of a solid material undergoing non-reversible changes of shape in response to applied forces. Unlike elasticity, where deformation is recovered upon unloading, plastic deformation is permanent. The theory involves a yield criterion to define the onset of plasticity, a flow rule to describe the evolution of plastic strain, and a hardening rule.

The bathtub curve is a graphical model illustrating three phases of a product's life in terms of failure rate. It starts with a high but decreasing 'infant mortality' rate, followed by a low, constant 'useful life' rate, and concludes with an increasing 'wear-out' rate. MTBF calculations using a constant failure rate (\(\lambda\)) are typically only valid during the central 'useful life' phase.

The fundamental building block of modern digital electronics is the transistor, specifically the MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor). It operates as an electronically controlled switch. By applying a voltage to its gate terminal, the flow of current between its source and drain terminals can be turned on (representing a '1') or off (representing a '0'), enabling the implementation of logic gates.

Mean Time Between Failures (MTBF) is a reliability metric representing the predicted elapsed time between inherent failures of a repairable system. For systems with a constant failure rate \(\lambda\), MTBF is its reciprocal: \(MTBF = 1/\lambda\). This simple relationship is fundamental in reliability engineering for predicting system uptime and planning maintenance schedules, assuming failures follow an exponential distribution.

For repairable systems, Mean Time Between Failures (MTBF) is the sum of Mean Time To Failure (MTTF) and Mean Time To Repair (MTTR). The formula is \(MTBF = MTTF + MTTR\). MTTF represents the average operational time before a failure, while MTTR is the average time taken to repair the system. This distinction is critical for understanding system availability.