Stern model 2026-10-20
A model separating a compact interfacial layer from a diffuse ion distribution. Specified adsorption and boundary conditions determine the potential at the outer compact-layer boundary; a diffuse-layer equation alone does not determine specific adsorption.
For a neutral formula unit, let count ions of type with electric charge , where is the elementary charge. The stoichiometry must satisfy
For and , the smallest positive counts are . For and , they are , giving calcium chloride : . The formula counts ions, not the number of nearest neighbours. A counterion is the oppositely charged partner needed to balance a charged species; its identity can change solubility and other properties without changing the identity of that species.[ref]
Strong acid Created 2026-10-13 Updated 2026-10-20
In water, a strong acid transfers its available proton essentially completely to water under the dilute conditions considered here. For the pH example, each initial chemical acid unit supplies one hydronium ion. “Strong” describes this conversion, rather than a high concentration. See 14.3 Relative Strengths of Acids and Bases.
Strong electrolyte Created 2026-10-13 Updated 2026-10-20
A strong electrolyte yields essentially all ions from its dissolved substance in the specified solvent and conditions. Strength does not specify concentration.
For dissolved sodium chloride in dilute water, one dissolved formula unit supplies one sodium cation and one chloride anion. For hydrogen chloride in water, ions instead arise by proton transfer to the solvent, giving hydronium and chloride. Thus separating existing ions by dissociation of an ionic compound and producing ions from neutral molecules by ionization can both give a strong electrolyte.[ref]
The denominator in “essentially all” is the dissolved inventory. Solubility asks how much enters the chemical solution; electrolyte strength asks what happens to the part that enters. A sparingly soluble ionic compound can therefore have an essentially fully dissociated dissolved portion. Undissolved solid does not count as neutral dissolved chemical species, and low electrical conductivity alone does not establish a weak electrolyte.[ref]
Figure 1.
Electrolyte strength and dissolved amount of substance answer different questions
. Original schematic inventories in equal volume of a specified solvent. Each symbol represents the same chosen amount of substance, not one literal microscopic sample. A two-unit strong electrolyte inventory produces two cations and two anions; a twenty-unit weak electrolyte inventory with a stipulated one-quarter converted fraction produces five of each ion and fifteen neutral units. A twenty-unit nonelectrolyte inventory remains neutral. The solvent and its background ions are omitted. These are chosen inventories, not measured material data. Details.
The diagram's weak electrolyte has the smaller converted fraction but more ions in the same volume: ten charged symbols versus four. Even at equal total ion concentrations, different ion drift velocities can give different electrical conductivities. Strength is useful for predicting dissolved chemical species in chemical equations; concentration and transport properties are additionally needed to predict electric current.
An inspected motivating experiment is Harvard Natural Sciences Lecture Demonstrations' Conductivity of Solutions by Harvard Natural Sciences Lecture Demonstrations, Setting it Up. Separate labeled beakers hold aqueous sodium chloride, sucrose, acetic acid and hydrochloric acid samples specified at , with about in beakers; distilled water supplies a blank. Metal electrodes enclosed in tubing connect to a lamp. The readout is lamp brightness; the page reports that an ionic chemical solution lights the lamp. A separate deionized-water rinse station limits carryover between samples.[ref]
For a controlled interpretation, keep electrode spacing and immersed area fixed, compare at the same temperature, and recheck the blank after rinsing. These are additional controls: the page supplies no numerical electrode geometry, temperature or calibration. Brightness supports the presence of mobile ions; it cannot alone measure the converted fraction because concentration, ion mobility and circuit response also matter. Its classification of insoluble compounds as weak should not replace the dissolved-inventory distinction above.[ref]
Strontium 2026-10-20
An alkaline-earth element whose divalent ions can substitute for calcium in suitable crystal hosts. Radioactive strontium isotopes are relevant fission-product constituents.
Synapse 2026-10-13
A synapse is a signaling junction between a neuron and another biological cell. The sending side is presynaptic and the receiving side postsynaptic. At a chemical synapse, released neurotransmitter acts on a receptor in the receiving cell membrane. At an electrical synapse, gap junctions provide a direct path for electric current between cells. See 1.1 Elements of Neuronal Systems.
In a common sequence at a chemical synapse, an arriving action potential opens voltage-gated ion channels selective for calcium. Calcium entry triggers fusion of synaptic vesicles with the presynaptic cell membrane, releasing neurotransmitter into the synaptic cleft. Binding to a receptor changes postsynaptic electrical resistance and conductance, directly through an ion channel or through an intracellular signaling pathway. The resulting change in membrane potential is a synaptic potential. See Ion Channels and the Electrical Properties of Membranes.
A useful conductance approximation writes the inward-positive synaptic electric current as
where describes the activated electrical resistance and conductance, is the postsynaptic membrane potential, and is the reversal potential, the voltage at which this current vanishes. Opening these channels tends to pull toward ; it does not prescribe a current of fixed sign independently of .
For a worked example, let and . A reversal potential of gives , an inward electric current that raises membrane potential. A reversal potential of instead gives , which lowers membrane potential. These are illustrative calculations, not measurements. A reversal potential of can raise from yet oppose reaching a threshold of : a depolarizing input need not be excitatory.
An excitatory synapse favors a subsequent action potential, whereas an inhibitory synapse opposes it. The effect depends on the receptor, the permeating ions, their gradients and the reversal potential; a neurotransmitter does not have one fixed excitatory or inhibitory sign in every context. Even with , an added conductance can reduce responses to other inputs by lowering effective electrical resistance, an effect called shunting inhibition. See Purves and colleagues: excitatory and inhibitory postsynaptic potentials. This dependence matters when translating a biological synapse into a signed weight or an imposed electric current in computational neuroscience.
Synaptic potential 2026-10-14
A synaptic potential is a postsynaptic change in membrane potential caused by activity at a synapse. Unlike the regenerative action potential, a passive synaptic potential is graded: its size depends on input strength, the initial membrane potential and the receiving cell membrane's properties. Local voltage changes can decay before reaching the soma; their timing and overlap help determine whether an action potential follows. See Ion Channels and the Electrical Properties of Membranes.
Depolarization means that the interior becomes less negative relative to the exterior; hyperpolarization means that it becomes more negative. Excitation and inhibition instead describe whether an input promotes or opposes postsynaptic action potential generation. An inhibitory postsynaptic potential can be depolarizing, and shunting inhibition can occur with no voltage change at rest. The receptor, permeating ions, ionic gradients and reversal potential matter. See Purves and colleagues: excitation, inhibition and depolarizing inhibition.
A worked passive model treats the receiving membrane as one compartment with capacitance , leak conductance , and activated synaptic conductances :
All electric currents are inward-positive. Each term vanishes at its reversal potential ; . With constant parameters, the ordinary differential equation has
Here is total conductance, is effective electrical resistance, is the steady state and the time constant. Without imposed electric current, is a conductance-weighted average of the reversal potentials. This approximation omits spatial structure, changing ionic gradients and active voltage-gated ion channels; it calculates passive voltage responses, not actual action potential waveforms. See 3.1 Synapses for the mechanism behind the terms; the inward-positive convention here reverses that source's synaptic-current sign.
Take the same illustrative leak and capacitance as under shunting inhibition, start at and set . Opening with gives and . Its initial inward electric current is . Adding with changes to and . This is shunting inhibition of the same excitatory drive.
For comparison, with alone gives : hyperpolarization. With instead, it alone gives : depolarization. Yet adding this depolarizing conductance to the excitatory drive lowers that drive's from to . At an illustrative firing threshold , its electric current is , opposing threshold approach. The combined trace initially rises faster than the excitatory drive alone, before settling below it. Thus the sign of a voltage change at rest alone does not determine excitation or inhibition; a claim about firing must specify input strength, timing and the neuron's state.
Figure 1. . Computed illustrations, not recordings. Left: inward electric current for a conductance with four reversal potentials. Upper right: constant-conductance steps at time zero in the one-compartment model with , and . Lower right: the same test electric current with and without of added conductance at . All plotted trajectories are passive; no action potential generation or reset is included. Details.
Synroc 2026-10-20
A family of mineral-analogue ceramic waste forms. Different titanate phases accept different waste ions by solid solution; phase assemblage is tailored to the waste inventory.
Tandem mass spectrometry 2026-10-20
tandem mass spectrometry selects precursor ions, fragments them, and measures the fragments to constrain precursor identity or structure. In proteomics, fragmentation of peptides provides sequence evidence that can be matched against a database.
Three-step model of high harmonic generation Created 2026-10-18 Updated 2026-10-20
For an original classical calculation of the return step, neglect the residual ion's Coulomb force after release. Take a spatially uniform driving electric field , an electron of electric charge and mass , and zero initial position and velocity at . With and , integrating Newton's second law gives
A return requires and . Define the cycle-averaged free-electron quiver kinetic energy
Searching the first-return solutions for release phases gives a maximum near and , with . For a chosen ionization energy , recombination into the initial state can therefore emit a photon with energy up to approximately in this model. This is an upper return-energy scale, not a prediction of the emitted yield. It omits release probabilities, quantum interference, propagation, phase matching and depletion of the neutral gas.
The calculation explains why a long driving wavelength can increase the available return energy: at fixed , grows as . It does not say that conversion efficiency improves. The electron must return with a probability amplitude for emission that survives the microscopic dynamics and adds coherently across the gas.
Trapped-ion internal and motional states Created 2026-10-18 Updated 2026-10-25
An internal qubit uses two distinguishable electronic or hyperfine structure quantum states, denoted . The ion's centre-of-mass motion has a different Hilbert space. In one approximately harmonic direction, a number state has energy , where denotes a motional angular frequency, not ordinary frequency. The tensor product of quantum systems gives . Cooling towards prepares motion; it does not automatically prepare the internal qubit. Nor does the ground state mean a stationary point particle: zero-point energy and position spread remain.
For several ions, Coulomb forces couple their displacements into collective normal modes. Each selected normal mode has its own quantum harmonic oscillator number states, while each ion retains internal qubit states. A pulse addressing one ion can change a shared mode. This supplies a route to correlations between distant internal quantum states; it also makes residual motional excitation and unwanted excitation of other normal modes relevant. A single-ion pulse calculation alone establishes no experimental multi-ion quantum gate performance.
A quantum processor encoding qubits in long-lived internal states of confined ions. Coherent drives implement single-qubit rotations; shared vibrational modes can mediate entangling gates. Individual fluorescence measurements distinguish bright and dark qubit levels. Mode crowding and residual spin-motion entanglement complicate gates as a single chain grows.
Trapped-ion quantum control Created 2026-10-18 Updated 2026-10-24
Trapped-ion quantum control prepares an ion's internal quantum state, couples it to quantized motion with laser pulses, and measures the result through state-dependent fluorescence. Its appeal is access to both a controllable two-level system and a quantum harmonic oscillator in one apparatus.
Confinement, preparation, control and readout solve different problems. The Paul trap's RF electric field confines the ion through its RF-averaged trapping potential; it still produces Paul trap micromotion. Doppler cooling and resolved sideband cooling reduce motional excitation. Optical pumping selects an internal quantum state. A coherent pulse then changes amplitudes, while electron shelving converts an internal population into a detectable stream of photons. A bright/dark count by itself does not reveal a quantum superposition's relative phase; an additional controlled rotation before detection can make that phase affect the measured population.
Figure 1.
Trapped-ion preparation, coherent control and fluorescence readout
. Original functional diagram. The level roles illustrate mercury-ion electron shelving; the later beryllium Raman experiment uses hyperfine states instead. Geometry and energy gaps are schematic. Cooling, coherent interrogation and detection are distinct stages. Details.
Vacancy diffusion 2026-10-20
Migration through successive exchanges of atoms or ions with vacant lattice sites. The diffusivity depends on both defect abundance and jump kinetics; mobile-defect diffusivity and atomic tracer diffusivity are different quantities.
Reuse the velocity selector analysis in the Thomson charge-to-mass experiment, but now send positive ions with into a separate magnetic analyzer. The selector fields and give . If the analyzer field is perpendicular to the selected velocity, its gyroradius gives
for a semicircular return to the entrance plane. The displayed impact separation is a diameter. This formula is linear in at fixed selected speed; the fixed-electric potential difference model above instead gives . They impose different experimental conditions.
For a chosen example, take , , and . Thus . Approximating an ion mass by and setting gives and . Here denotes the unified atomic mass unit. These are stipulated teaching inputs, not a reported Aston measurement or an exact magnesium atomic mass.
A finite accepted speed range broadens the radius distribution. At fixed and , . At fixed electric charge and mass, gives for a small kinetic energy spread. A one-percent kinetic energy spread therefore produces roughly a half-percent radius spread before other broadening is included. Its width convention must be specified before converting that statement into a mass resolving power.
For a monoprotic acid with analytical concentration , define the dimensionless weak acid dissociation fraction
This counts acid units in the conjugate base form. Identifying it with additionally requires negligible self-ionization of water and no other sources of electric charge. In the ideal dilute chemical solution model, with , the acid dissociation constant gives . Thus lowering hydronium thermodynamic activity favors the conjugate base.
Figure 1.
Dilution increases the weak acid dissociation fraction while raising pH in a synthetic aqueous chemical equilibrium
. Details.
The diagram uses stipulated dimensionless acid dissociation constant and self-ionization of water ion product at fixed temperature; these are model inputs, not measurements of a named substance. It solves the weak acid mass and charge balances. At , the calculated weak acid dissociation fraction is about and pH about ; at , they are about and . More acid units are dissociated as a fraction of the total, yet fewer hydronium ions occur per volume.
At extreme dilution, self-ionization of water makes approach , so pH approaches for the chosen model. The limiting weak acid dissociation fraction is , rather than exactly one. The calculation assumes pure added water, a neutral monoprotic acid, and no competing chemical reactions; actual contamination becomes increasingly important as falls.
Consider only neutral added to pure water, at fixed temperature, with ideal dilute thermodynamic activities, water thermodynamic activity approximated by one, and no added salts or other chemical species. Normalize every concentration by :
Conservation of acid units and zero net electric charge, respectively, require
The second equation balances positive hydronium against negative conjugate base and hydroxide. It would need all additional ions if salts or a chemical base were added. Together with acid dissociation constant and the self-ionization of water relation , these give
This is exact within the stated ideal model, including depletion and self-ionization of water. Multiplication by yields the cubic equation
For positive , the unmultiplied left-hand side increases strictly from negative to positive values as increases from zero to infinity; its derivative is . There is therefore exactly one positive root of a polynomial. A bisection method can find it without choosing an unphysical root of a polynomial.
If , neglect hydroxide, so and the quadratic equation retaining acid depletion gives
The last form avoids subtracting nearly equal numbers. If also , neglect depletion to obtain
Check both conditions after computing: measures the fraction lost from the initial undissociated weak acid inventory, while measures the omitted hydroxide contribution to electric charge balance. A depletion criterion is a chosen tolerance, not a universal boundary. Keeping depletion does not cure the neglect of self-ionization of water. These weak acid mass and charge balances also explain why the square root estimate cannot be extended to arbitrarily dilute chemical solutions.
Weak electrolyte Created 2026-10-13 Updated 2026-10-14
A weak electrolyte yields only a fraction of ions from its dissolved substance under the specified conditions, as illustrated by acetic acid in water.
For a neutral weak acid, unconverted molecules coexist with hydronium and the conjugate base at chemical equilibrium. The weak acid dissociation fraction describes the partition of the dissolved inventory; the acid dissociation constant describes the chemical equilibrium at fixed solvent, temperature and standard states. A single fraction is not a permanent label for every concentration: dilution can increase that fraction while the acid dissociation constant stays fixed. Calling a substance a weak electrolyte does not mean its chemical solution must be dilute.[ref]
The following ideal weak electrolyte dilution law makes the distinction quantitative for a monoprotic acid. Other weak electrolytes, mixed chemical solutions and additional proton-transfer steps require their own chemical equilibrium and inventory balances.
White dwarf Created 2026-09-25 Updated 2026-10-20
A white dwarf is a compact stellar remnant supported mainly by electron degeneracy pressure. Its ions carry most of the mass, while its electrons provide most of the supporting pressure. The Pauli exclusion principle makes compression fill quantum states with larger momenta; support therefore persists even when thermal motion becomes small. Cooling and hydrostatic equilibrium are separate questions: a white dwarf can radiate stored energy while retaining degeneracy support.
The surprising trend is that a more massive cold white dwarf is smaller. Its higher mass density raises the Fermi momentum, eventually requiring special relativity. The degenerate-electron pressure crossover explains why this response approaches a limiting stiffness and why the Chandrasekhar limit exists. Subrahmanyan Chandrasekhar's 1983 lecture develops this connection between quantum statistics, stellar structure and stellar evolution.[ref]
Wilson cloud-chamber experiment Created 2026-10-18 Updated 2026-10-20
Charles Thomson Rees Wilson's 1927 lecture recalls electron cloud trails produced with X-rays in 1911, then alpha particle trails from a radium-tipped source. The improved 1912 chamber had a wide, shallow space with a suddenly falling floor to limit stirring. A roof–floor clearing electric field removed unwanted ions. Sharp photography required expansion, then the ionizing particle, then illumination.[ref]
The piston mechanism connects the space beneath the moving floor to an evacuated vessel: opening the valve lets the floor drop. Water in a trough supplies the vapor. The Smithsonian's surviving demonstration object is explicitly a 1961 replica of the 1912 apparatus.[ref]
Figure 1. . Original functional schematic, with an invented illustrative trail. Positions, sizes and delays are schematic; this is not a historical photograph or a mechanical reconstruction. Details.
After dust removal, X-rays increased droplet formation above a lower expansion threshold; larger expansions also produced dense background cloud.[ref]
The control logic separates a localized ionization trail from fog. Delays permit ion displacement and drop growth; stirring deforms the trail. A photograph alone supplies neither an absolute event time nor a calibrated particle energy.