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)
| Feature | Quanta | Anki | Quizlet | RemNote | Knowt | ChatGPT |
|---|---|---|---|---|---|---|
| Algorithm | FSRS-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 available | No published algorithm | No 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 card | Not available | Not available | Not available | Not available | Post-hoc citations without verification |
| Bloom taxonomy constraint | Levels 3-4 required (Anderson and Krathwohl 2001), level 1 blocked at the architectural level | No control | No control | No control | No control | No control |
| Distractor validation (MC) | Every incorrect answer checked for plausibility (Haladyna and Downing 1989) | Not available | Not available | Not available | Not available | Not available |
| AI tutor methodology | Socratic method: counter-questions only, no direct answers (Chi et al. 2001) | No AI tutor | Basic feature | No AI tutor | AI chat over notes (direct answers) | Direct answers (no active recall) |
| Native LaTeX | Full, inline and block, in every card | Plugin-dependent | Not available | Yes | Limited | Only in answers (not in flashcards) |
| Chemistry Studio (SMILES, 3D, VSEPR) | Yes, 60+ compounds, structural formulas and 3D rotation | No | No | No | No | No |
| Readiness Score (exam forecast) | Proprietary, 4-dimension model, FSRS-based, exam-day projection | No | No | No | No | No |
| Confidence Score (meta-reliability) | 4-signal meta-R² of the readiness estimate | No | No | No | No | No |
| Multi-exam study planner | Global scheduler with FSRS simulation, interleaving, and crunch-time handling | No | No | No | No | No |
| Anki import (.apkg) | Yes, complete | Native | No | No | No | No |
| AI cards from your notes and PDFs | Yes, with the source-first verbatim quote-match protocol | No | Limited | Yes, no source protocol | Yes, no source protocol | Yes, no scheduling |
| Price (monthly, annual) | Basic: free forever, Pro: 6 euros per month | Free on desktop, 25 dollars on iOS | about 3 euros per month (annual) | about 8 dollars per month | free tier, about 10 dollars per month | 20 dollars per month (Plus) |
| Standalone calculation engine | Yes, 900 LOC of TypeScript, 4 modules, no API dependency | Yes (SM-2) | No | Partial (FSRS fork) | Unknown | No (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).
Radioactive Decay Law
The decay law describes the exponential decrease of the undecayed atomic nuclei of a radioactive substance.
Free · no credit card · in your study plan in 2 minutes
Formula
N(t) = N_0 \cdot e^{-\lambda t}Variables & units – Radioactive Decay Law
| Symbol | Meaning | Unit |
|---|---|---|
| N(t) | Number of undecayed nuclei at time t | dimensionslos |
| N₀ | Initial number of nuclei (t = 0) | dimensionslos |
| λ | Decay constant (substance-specific) | 1/s |
| t | Time | s |
Derivation & background – Radioactive Decay Law
Around 1902 Rutherford and Soddy recognised that per unit of time a fixed fraction of the existing nuclei decays, which necessarily leads to an exponential function. The half-life is related to the decay constant via T½ = ln(2)/λ. After n half-lives the fraction (1/2)ⁿ remains. The activity A = λ·N is measured in becquerels.
Exam blueprint
Validity range
Holds statistically for large numbers of nuclei; for a single nucleus only a decay probability can be given. λ is substance-specific and independent of temperature, pressure or chemical bonding.
Derivation steps
Per unit of time a fixed fraction of the remaining nuclei decays, which defines an exponential function.
- 1Ansatz: dN/dt = −λ·N (decay rate proportional to the stock).
- 2Integration yields N(t) = N₀·e^(−λt).
Rearrangements
Half-life from the decay constant
Follows from N = N₀/2; ln 2 ≈ 0.693.
Time from the remaining fraction
The basic equation of every radiometric dating method.
Form with half-life
Often quicker: count the number of half-lives.
Task variant
After how many half-lives is 6.25% of a sample left?
6.25% = 1/16 = (1/2)⁴, so after 4 half-lives.
A C-14 sample shows 25% activity (T½ = 5,730 a). How old is it?
25% = (1/2)², i.e. 2 half-lives: t = 2 × 5,730 = 11,460 years.
Common mistakes
Assuming everything has decayed after two half-lives.
Each half-life only halves the remainder: after two, 25% is left.
Confusing λ and T½ or substituting one for the other.
They are linked via T½ = ln(2)/λ, not simple reciprocals.
Mixing units of λ and t (e.g. λ per day, t in years).
λ·t must be dimensionless; use the same unit of time.
Assuming linear decay.
The decay is exponential; equal time spans mean equal factors, not equal differences.
Exam context
- Standard: dating (C-14), activity decrease in nuclear medicine, semi-log evaluation of measurement series.
These mistakes cost points in real exams. The set drills them until they stick.
Formula cluster
Nuclear physics
Decay, mass defect and radiation belong together in final exams.
Worked example
Iodine-131 has T½ = 8.02 d, so λ = ln(2)/8.02 ≈ 0.0864 d⁻¹. After t = 24.1 d (3 half-lives): N = N₀ × e^(−0.0864 × 24.1) ≈ 0.125·N₀, one eighth left.
Applications
Radiocarbon dating (C-14), nuclear medicine (dose planning), final repository planning, geochronology
Quanta exam set
Curated exam set for "Radioactive Decay Law":
Question (front)
Which formula describes Radioactive Decay Law?
Answer in your set
Question (front)
How do you rearrange N(t) = N₀·e^(−λt) for Half-life from the decay constant?
Answer in your set
Question (front)
Which common mistake happens with Radioactive Decay Law?
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
Related formulas
More Physics formulas
Frequently asked questions about Radioactive Decay Law
How do you calculate with the decay law N(t) = N₀·e^(−λt)?+
First find the decay constant from the half-life: λ = ln(2)/T½. Then insert λ and t into the exponential; both must carry the same unit of time. Example iodine-131 (T½ = 8.02 d): λ = 0.693/8.02 ≈ 0.0864 per day. After 24.1 days N = N₀·e^(−0.0864 × 24.1) ≈ 0.125·N₀ remains, one eighth. You can check the result: 24.1 d is exactly three half-lives, and (1/2)³ = 1/8. For neat multiples of the half-life the power form N = N₀·(1/2)^(t/T½) is usually quicker than the exponential.
What exactly does the half-life mean?+
The half-life T½ is the time after which, on average, half of the originally present nuclei have decayed. It is linked to the decay constant via T½ = ln(2)/λ and is characteristic for each nuclide: C-14 has 5,730 years, iodine-131 about 8 days, polonium-214 only fractions of a millisecond. The multiplicative character is important: after each further half-life the stock halves again; after two, 25% remains, after four, 6.25%; the substance is never exactly "gone". For a single nucleus T½ is only a probability statement: it decays with 50% probability within one half-life, but it does not age; the probability always stays the same.
How does C-14 dating work?+
Living organisms constantly exchange carbon with the atmosphere and thus maintain a known C-14 fraction. With death the exchange stops, and the incorporated C-14 decays with T½ = 5,730 years while the stable C-12 remains. Measuring the ratio today, the remaining fraction reveals the age: t = −ln(N/N₀)/λ. Example: if a sample still shows 25% of the original C-14, two half-lives have passed, about 11,460 years. In practice the method works up to about 50,000 years; after that too little C-14 is left. For older finds one uses longer-lived clocks such as potassium-argon (T½ = 1.25 billion years) with the same calculation principle.
What is the difference between the decay constant and the activity?+
The decay constant λ is the decay probability per nucleus and unit time, a fixed material property with unit 1/s. The activity A, by contrast, is the actual number of decays per second in a concrete sample: A = λ·N, measured in becquerels (1 Bq = 1 decay/s). It therefore depends on the sample size and decreases exponentially with time just like N: A(t) = A₀·e^(−λt). Example: 10¹⁵ nuclei with λ = 0.0864 d⁻¹ = 10⁻⁶ s⁻¹ have A = 10⁹ Bq. In measurement problems you almost always work with the activity, because counters register decays per time; the decay law holds for A and N in identical form.
Can you predict when a single nucleus will decay?+
No. Radioactive decay is a fundamentally random quantum process. For a single nucleus only a probability can be stated: per unit time it decays with probability λ, regardless of how long it has already existed. Nuclei do not age; an "old" nucleus is as ready to decay as a freshly created one. Only for very many nuclei does chance turn into a precise law: with 10²⁰ particles the relative fluctuations are vanishingly small, and N(t) = N₀·e^(−λt) describes the stock practically exactly. It is the same principle as rolling dice: a single roll is unpredictable, the average of millions of rolls very accurate. No external influence, temperature, pressure or chemical bonding, changes λ measurably.
Retain Radioactive Decay Law for exams
Create a curated FSRS exam set for N(t) = N₀·e^(−λt): 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 Radioactive Decay Law?
Here is how to work through a typical Radioactive Decay Law (N(t) = N₀·e^(−λt)) task step by step:
- 1
Task
After how many half-lives is 6.25% of a sample left?
Solution path
6.25% = 1/16 = (1/2)⁴, so after 4 half-lives.
- 2
Task
A C-14 sample shows 25% activity (T½ = 5,730 a). How old is it?
Solution path
25% = (1/2)², i.e. 2 half-lives: t = 2 × 5,730 = 11,460 years.
N(t) = N₀·e^(−λt) · 10 cards ready
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