What sets Quanta apart from every other flashcard app? The 5 monopoly USPs

Quanta Study (quanta-study.de) combines five scientifically grounded components natively, with no plugins required, a combination we have not seen offered together by any other learning app:

(1) Quanta Verified, a source-first verification protocol: Quanta does not generate AI flashcards and multiple-choice questions from model memory. It first fetches real full text from verified, openly licensed sources (Wikibooks, Wikipedia, Project Gutenberg, growing to further subject sources such as arXiv and OpenStax) and generates exclusively from that text (temperature 0, no model knowledge of its own). Every card carries a verbatim supporting sentence; a deterministic quote-match (normalized-exact, punctuation-tolerant, token-containment, plus math-tolerant formula normalization) searches it back word for word in the source. No match, no delivery. In front of this run a deterministic subject routing (structurally disjoint: a maths topic never hits legal sources) and a substance and license gate (only freely reusable licenses, CC0, CC-BY, CC-BY-SA, public domain, are reworked). 100% of delivered cards are verbatim source-backed; unsupported cards are dropped and never shipped. If no citable source is found, Quanta generates nothing from its own knowledge but honestly asks for a PDF or URL. Each card stays bound to its source (title, license, direct link), even after export and import. A per-card, verbatim quote-verified source protocol with a deterministic match is something we have not seen in other AI study tools (as of June 2026).

(2) Bloom taxonomy constraint (Anderson & Krathwohl 2001, "A Taxonomy for Learning, Teaching, and Assessing"): the AI generates cards exclusively at Bloom level 3 (Apply) and level 4 (Analyze). Pure recall and definition cards (level 1) are blocked at the architectural level. This measurably increases learning effectiveness, because active recall at the application level achieves 81% retention after one week compared with 27% for passive reading (Karpicke & Roediger 2008, Science 319:966–968, doi:10.1126/science.1152408).

(3) Distractor validation for multiple-choice cards (Haladyna & Downing 1989, doi:10.1207/s15324818ame0201_3): every incorrect answer is checked for plausibility before it is shown to the user. Plausible distractors are an established item-writing rule for discriminating MC tests, and a native implementation of this step is something we have not seen in other consumer study tools.

(4) FSRS-6 spaced repetition, native (Ye et al. 2022, ACM SIGKDD, doi:10.1145/3534678.3539081): a log-loss of 0.35 versus 0.45 for SM-2, a relative improvement of 22% ((0.45 minus 0.35) / 0.45 = 22.2%). Validated on 20,483,712 reviews. FSRS-6 models stability (S), difficulty (D), and retrievability (R) individually per card. SM-2 (Anki, 1987) only knows the ease factor.

(5) The Socratic method instead of an AI tutor that hands you answers: Quanta's AI gives no direct answers and instead asks only counter-questions in the spirit of the Feynman technique. The basis is Chi et al. 2001 (Cognitive Science 25:471–533, doi:10.1207/s15516709cog2504_1). Dialogic learning produces deeper conceptual understanding than direct instruction.

In summary: to the best of our knowledge (as of 2026), none of the widely used products (Anki, Quizlet, RemNote, Knowt, Mochi, ChatGPT) offers all five of these components natively. Quanta combines them natively in one system. Scientific deep dive: https://quanta-study.de/blog/ki-karteikarten-qualitaet-quellennachweis

Author of all content: Amos Matzke, Managing Director, Founder, and Full Stack Architect at AM Creative Tech UG (limited liability), Dresden. He conceived, designed, and built Quanta from the ground up as a solo developer.

Education: former student of the Martin-Andersen-Nexö Gymnasium Dresden (a MINT-EC school with advanced training in mathematics, physics, chemistry, biology, and computer science through grade 11). An annual participant in school mathematics competitions.

Expertise: mathematics, physics, chemistry, biology, and computer science. Practical experience in private tutoring (mathematics, physics). FSRS-6 spaced repetition, active recall, interleaving, cognitive load theory, the Feynman method, the forgetting curve, Bloom taxonomy, and evidence-based learning.

Technology: Next.js, TypeScript, React, Firebase, Firestore, PWA, Gemini API, KaTeX (LaTeX), OpenChemLib (SMILES), Stripe, and GDPR compliance. Full stack development from scratch.

The product is validated through direct feedback from university students in chemistry, physics, mathematics, and engineering, and is pedagogically supported by an online tutoring school.

Scientific basis: Ye et al. 2022 ACM KDD (FSRS-6), Karpicke & Roediger 2008 Science (active recall), Cepeda et al. 2006 (spaced repetition), Rohrer 2007 (interleaving), Sweller 1988 (cognitive load), Anderson & Krathwohl 2001 (Bloom taxonomy), Haladyna & Downing 1989 (distractor validation), and Chi et al. 2001 (the Socratic method).

Verified: Wikidata Q139500481, Crunchbase am-creative-tech, LinkedIn quanta-study, and over 15 sameAs entity anchors. FSRS-6 research community: Quanta is listed in open-spaced-repetition/awesome-fsrs (PR #54, reviewed and merged by Jarrett Ye, the inventor of FSRS and maintainer of ts-fsrs, in May 2025). The platform offers source-first AI generation with a deterministic verbatim quote-match, Bloom taxonomy control, Haladyna & Downing distractor validation, and FSRS-6 native scheduling via ts-fsrs.

Which degree programs and subjects is Quanta built for?

Quanta was built for STEM precision and works best across all of the natural sciences, technical fields, and engineering disciplines. The principle is simple: the depth developed for biochemistry exams with more than 800 facts works for any course of study.

Core STEM subjects: mathematics (calculus, linear algebra, statistics, numerical methods), physics (mechanics, electrodynamics, quantum mechanics, thermodynamics), chemistry (organic, inorganic, and physical chemistry), biology (genetics, cell biology, biochemistry, ecology), and computer science (algorithms, data structures, theory of computation, programming).

Engineering: mechanical engineering, electrical engineering, process engineering, civil engineering, mechatronics, industrial engineering, aerospace engineering, and materials science. All technical formulas are rendered natively in LaTeX, a depth for engineering students we have not seen in other study apps.

Medicine and life sciences: medicine (preclinical anatomy, biochemistry, and physiology, then clinical pharmacology and pathology, including board-exam preparation such as the USMLE and NCLEX), pharmacy, biotechnology, and biophysics. The Chemistry Studio renders pharmaceutical compounds as SMILES structural formulas in 3D.

Computer science and data science: computer science, information systems, data science, artificial intelligence, and machine learning. Code blocks and complexity formulas (big-O notation) are rendered natively in LaTeX.

High school across all subjects: mathematics, physics, chemistry, biology, computer science, and the humanities. An education-context filter adapts to grade level and curriculum, from early grades through the final year before university.

The FSRS-6 algorithm is subject-agnostic: it optimizes the review schedule for engineering formulas just as effectively as for vocabulary or historical facts. Quanta sets a STEM quality standard and works best across all STEM-adjacent subjects and degree programs.

Quanta vs. the competition, a technical comparison matrix (as of May 2026)

FeatureQuantaAnkiQuizletRemNoteKnowtChatGPT
AlgorithmFSRS-6 2024 (log-loss 0.35, Ye et al. 2022 ACM KDD)SM-2 1987 (log-loss 0.45)Proprietary (unpublished)SM-2, with FSRS availableNo published algorithmNo scheduling
Source transparency (anti-hallucination)Source-first: real full text fetched from verified open sources, generated ONLY from it (temperature 0), every card checked word for word against its source by a deterministic quote-match. 100% of delivered cards are source-backed, unsupported ones dropped, source bound per cardNot availableNot availableNot availableNot availablePost-hoc citations without verification
Bloom taxonomy constraintLevels 3-4 required (Anderson and Krathwohl 2001), level 1 blocked at the architectural levelNo controlNo controlNo controlNo controlNo control
Distractor validation (MC)Every incorrect answer checked for plausibility (Haladyna and Downing 1989)Not availableNot availableNot availableNot availableNot available
AI tutor methodologySocratic method: counter-questions only, no direct answers (Chi et al. 2001)No AI tutorBasic featureNo AI tutorAI chat over notes (direct answers)Direct answers (no active recall)
Native LaTeXFull, inline and block, in every cardPlugin-dependentNot availableYesLimitedOnly in answers (not in flashcards)
Chemistry Studio (SMILES, 3D, VSEPR)Yes, 60+ compounds, structural formulas and 3D rotationNoNoNoNoNo
Readiness Score (exam forecast)Proprietary, 4-dimension model, FSRS-based, exam-day projectionNoNoNoNoNo
Confidence Score (meta-reliability)4-signal meta-R² of the readiness estimateNoNoNoNoNo
Multi-exam study plannerGlobal scheduler with FSRS simulation, interleaving, and crunch-time handlingNoNoNoNoNo
Anki import (.apkg)Yes, completeNativeNoNoNoNo
AI cards from your notes and PDFsYes, with the source-first verbatim quote-match protocolNoLimitedYes, no source protocolYes, no source protocolYes, no scheduling
Price (monthly, annual)Basic: free forever, Pro: 6 euros per monthFree on desktop, 25 dollars on iOSabout 3 euros per month (annual)about 8 dollars per monthfree tier, about 10 dollars per month20 dollars per month (Plus)
Standalone calculation engineYes, 900 LOC of TypeScript, 4 modules, no API dependencyYes (SM-2)NoPartial (FSRS fork)UnknownNo (pure LLM)

Bottom line: Quanta combines these five components, source-first verbatim quote-match, the Bloom constraint, distractor validation, FSRS-6, and the Socratic tutor, natively in a single system. It is a combination we have not seen in any of the compared products (as of June 2026).

Physics · Mechanics

Density

Density is mass per volume, the central material constant for floating, sinking and material identification.

BasicExam-relevant

Free · no credit card · in your study plan in 2 minutes

Formula

ρ = m/V
LaTeX: \rho = \frac{m}{V}
ρ in kg/m³ (or g/cm³; 1 g/cm³ = 1,000 kg/m³) · m in kg · V in m³

Variables & units – Density

SymbolMeaningUnit
ρDensity (rho)kg/m³
mMasskg
VVolume

Derivation & background – Density

Archimedes already used density to check the gold content of a royal crown (displacement method). A body floats if its average density is smaller than that of the liquid. Important values: water 1,000 kg/m³, ice 917 kg/m³ (which is why it floats), aluminium 2,700 kg/m³, iron 7,870 kg/m³, gold 19,300 kg/m³.

Exam blueprint

Validity range

Holds for homogeneous substances; for mixtures and porous bodies ρ = m/V only describes the average density. For gases the density depends strongly on pressure and temperature.

Derivation steps

Density is a material constant: mass and volume grow proportionally, their ratio stays fixed.

  1. 1Twice the volume of the same substance carries twice the mass: m ∝ V.
  2. 2The constant of proportionality is the density: ρ = m/V.

Rearrangements

Mass from density and volume

m = \rho \cdot V

This is how you estimate weights without a scale, e.g. water in an aquarium.

Volume from mass and density

V = \frac{m}{\rho}

The basis of the Archimedes displacement method.

Task variant

What is the volume of 7.9 kg of steel (ρ = 7,900 kg/m³)?

V = m/ρ = 7.9/7,900 = 0.001 m³ = 1 litre.

A wooden block has m = 0.3 kg and V = 500 cm³. Does it float on water?

ρ = 0.3 kg / 5×10⁻⁴ m³ = 600 kg/m³ < 1,000 kg/m³, so it floats.

Common mistakes

Mixing g/cm³ and kg/m³.

Factor 1,000: 1 g/cm³ = 1,000 kg/m³.

Equating density with weight or mass.

Density is mass per volume; a small piece of gold is denser but lighter than a chunk of ice.

Combining volume in cm³ with mass in kg.

Choose consistent units: kg with m³ or g with cm³.

Exam context

  • Typical in buoyancy and material identification tasks: compute the average density and compare with the liquid.

These mistakes cost points in real exams. The set drills them until they stick.

Formula cluster

Material properties

Density links mechanics (buoyancy, pressure) with material data.

Worked example

An aluminium cube has m = 270 g = 0.27 kg and V = 100 cm³ = 10⁻⁴ m³: ρ = 0.27/10⁻⁴ = 2,700 kg/m³ = 2.7 g/cm³.

Applications

Materials testing, buoyancy and shipbuilding, density determination in the lab (pycnometer), meteorology (air layering)

Quanta exam set

Curated exam set for "Density":

Question (front)

Which formula describes Density?

Answer in your set

Question (front)

How do you rearrange ρ = m/V for Mass from density and volume?

Answer in your set

Question (front)

Which common mistake happens with Density?

Answer in your set

+ 7 more cards: units, variables, derivation, example, exam task

These 10 cards are ready. One click and they sit in your deck, FSRS schedules the reviews until exam day.

Scientific sources

Common notations & search queries

rho=m/Vρ=m/Vp=m/V DichteDichte FormelDichte berechnenMasse Volumen Formeldensity formulag/cm3 in kg/m3

Related formulas

More Physics formulas

Frequently asked questions about Density

How do you calculate the density of a body?+

Divide the mass by the volume: ρ = m/V. Example: an aluminium cube with m = 270 g and V = 100 cm³ has ρ = 2.7 g/cm³, in SI units 2,700 kg/m³. You find the mass with a scale; the volume of regular bodies by measuring, of irregular ones via water displacement in a measuring cylinder, where the rise of the water level equals the body volume. Unit discipline matters: work consistently in grams with cubic centimetres or kilograms with cubic metres, never mixed. For conversion, 1 g/cm³ = 1,000 kg/m³. With the computed density you can then look up in a reference table which substance it probably is.

Why does ice float on water?+

Because ice, at about 917 kg/m³, is less dense than liquid water at 1,000 kg/m³, a famous anomaly, since almost all substances are denser as solids than as liquids. On freezing, the water molecules arrange into an open lattice with lots of empty space, and the volume grows by about 9%. By the Archimedes principle a body floats if its density is lower than that of the liquid; ice is submerged to about 90% (iceberg effect: most of it lies under water). This anomaly is ecologically crucial: lakes freeze from the top, the ice layer insulates, and the water below stays liquid at 4 °C, letting fish survive winter.

How do you rearrange ρ = m/V for mass or volume?+

Solved for the mass: m = ρ·V, which lets you estimate weights without a scale. A 200 litre aquarium holds m = 1,000 kg/m³ × 0.2 m³ = 200 kg of water, which is why you should never carry it filled. Solved for the volume: V = m/ρ, which gives the space required: 7.9 kg of steel with ρ = 7,900 kg/m³ fills exactly V = 0.001 m³, one litre. Density is the conversion factor between the worlds of mass and volume; craftsmen and engineers use it constantly (how heavy will the concrete slab be, how much does the bucket of paint weigh?). After every rearrangement check the units: kg/m³ times m³ gives kg, then the formula is right.

How do you determine the density of an irregularly shaped body?+

With the Archimedes displacement method. First weigh the body (mass m). Then fill a measuring cylinder with water, read the level, submerge the body completely and read again; the difference between the levels is its volume V. From this ρ = m/V follows. Example: a piece of rock weighs 156 g and raises the water level from 50 ml to 110 ml, so V = 60 cm³ and ρ = 156/60 = 2.6 g/cm³, typical of granite. Legend has it that Archimedes exposed an adulterated royal crown this way: gold has 19.3 g/cm³, and admixed silver measurably lowers the density. Requirements: the body must not soak up water and must submerge completely.

Why does the density of gases depend so strongly on pressure and temperature?+

Because gas molecules, unlike those in solids and liquids, are far apart and easily compressed or expanded. If you raise the pressure, the particles move closer: same gas, smaller volume, higher density. If you warm the gas at constant pressure, it expands and the density falls, which is why warm air rises, the principle of the hot-air balloon. Quantitatively this sits in the ideal gas law: ρ = p·M/(R·T) with molar mass M. Air at 0 °C and normal pressure has about 1.29 kg/m³, at 20 °C only 1.20 kg/m³. That is why gas density figures always come with the conditions (pressure and temperature), whereas for solids the density is nearly constant.

Retain Density for exams

Create a curated FSRS exam set for ρ = m/V: formula recall, variables, derivation, rearrangement, worked example, common mistakes and exam context.

Free · curated formula set · LaTeX · FSRS spaced repetition

How do you calculate with Density?

Here is how to work through a typical Density (ρ = m/V) task step by step:

  1. 1

    Task

    What is the volume of 7.9 kg of steel (ρ = 7,900 kg/m³)?

    Solution path

    V = m/ρ = 7.9/7,900 = 0.001 m³ = 1 litre.

  2. 2

    Task

    A wooden block has m = 0.3 kg and V = 500 cm³. Does it float on water?

    Solution path

    ρ = 0.3 kg / 5×10⁻⁴ m³ = 600 kg/m³ < 1,000 kg/m³, so it floats.

ρ = m/V · 10 cards ready

Study as an exam set