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).
pKb Value (Base Constant)
The pKb value measures the strength of a base via the base constant Kb of its protolysis with water: the smaller the pKb, the stronger the base. For conjugate pairs pKa + pKb = 14 (25 °C).
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Formula
pK_B = -\lg K_B = -\lg \frac{[\text{BH}^+] \cdot [\text{OH}^-]}{[\text{B}]}Variables & units – pKb Value (Base Constant)
| Symbol | Meaning | Unit |
|---|---|---|
| pKb | Base exponent (negative logarithm of Kb) | dimensionslos |
| Kb | Base constant of the protolysis B + H₂O ⇌ BH⁺ + OH⁻ | mol/L |
| [BH⁺] | Concentration of the conjugate acid | mol/L |
| [OH⁻] | Hydroxide concentration at equilibrium | mol/L |
| [B] | Concentration of the base | mol/L |
Derivation & background – pKb Value (Base Constant)
The basis is the protolysis B + H₂O ⇌ BH⁺ + OH⁻ after Brønsted; the practically constant water concentration is absorbed into Kb. Multiplying Ka of the conjugate acid by Kb of the base gives the ion product of water: Ka·Kb = Kw, in logarithmic form pKa + pKb = pKw = 14 at 25 °C. For weak bases the approximation pOH = ½(pKb − lg c₀) holds. Examples: ammonia pKb = 4.75, methylamine pKb ≈ 3.4, aniline pKb ≈ 9.4.
Exam blueprint
Validity range
Applies to weak bases in dilute aqueous solution; pKa + pKb = 14 holds exactly only for conjugate acid-base pairs at 25 °C.
Derivation steps
The mass action law of the protolysis B + H₂O ⇌ BH⁺ + OH⁻ gives Kb; the link to Ka runs through the ion product of water.
- 1Kb = [BH⁺][OH⁻]/[B]; the constant water concentration is absorbed into Kb.
- 2Ka·Kb = Kw = 10⁻¹⁴ (25 °C); taking logarithms gives pKa + pKb = 14.
Rearrangements
pKb from the pKa of the conjugate acid
Holds for conjugate pairs at 25 °C.
pH of a weak base
Approximation for weak bases with c₀ well above Kb.
Kb from Ka
A strong acid means a weak conjugate base and vice versa.
Task variant
pKa(NH₄⁺) = 9.25: what is the pKb of ammonia?
pKb = 14 − pKa = 14 − 9.25 = 4.75. Ammonia is thus a typical weak base.
Calculate the pH of 0.01 mol/L ammonia (pKb = 4.75).
pOH = ½·(pKb − lg c₀) = ½·(4.75 + 2) = 3.38 → pH = 14 − 3.38 = 10.62. The solution is clearly basic.
Common mistakes
Reporting pOH as the final answer.
Finish with pH = 14 − pOH; almost always the pH is asked for.
Applying pKa + pKb = 14 to arbitrary pairs.
The relation holds only for conjugate pairs such as NH₄⁺/NH₃ and only at 25 °C.
Interpreting a small pKb as a weak base.
The smaller the pKb, the stronger the base, exactly as with pKa.
Using the approximation for strong bases.
NaOH dissociates completely: there pOH = −lg c holds directly.
Exam context
- pH calculation of ammonia and amine solutions, conjugate pairs in titration curves and buffer choice on the base side.
These mistakes cost points in real exams. The set drills them until they stick.
Formula cluster
Acid-base systems
Mirror image of pKa: base strength, pOH and conjugate pairs.
Worked example
Ammonia: Kb = 1.78×10⁻⁵ mol/L → pKb = 4.75; check: pKa(NH₄⁺) = 9.25 and 9.25 + 4.75 = 14. pH of 0.1 mol/L NH₃: pOH = ½·(4.75 + 1) = 2.88 → pH = 14 − 2.88 = 11.12.
Applications
Comparing base strengths, pH calculation of ammonia and amine solutions, buffer selection on the base side, pharmacology (basic drugs), titration curves
Quanta exam set
Curated exam set for "pKb Value (Base Constant)":
Question (front)
Which formula describes pKb Value (Base Constant)?
Answer in your set
Question (front)
How do you rearrange pKb = −lg(Kb) for pKb from the pKa of the conjugate acid?
Answer in your set
Question (front)
Which common mistake happens with pKb Value (Base Constant)?
Answer in your set
+ 8 more cards: units, variables, derivation, example, exam task
These 11 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 Chemistry formulas
Frequently asked questions about pKb Value (Base Constant)
How do you calculate the pKb value?+
The pKb value is the negative base-10 logarithm of the base constant Kb: pKb = −lg Kb. The base constant describes the equilibrium of the protolysis of a base with water, B + H₂O ⇌ BH⁺ + OH⁻, and reads Kb = [BH⁺]·[OH⁻]/[B]. Example ammonia: Kb = 1.78×10⁻⁵ mol/L gives pKb = −lg(1.78×10⁻⁵) = 4.75. The smaller the pKb, the stronger the base. Often, however, one does not know Kb itself but the pKa of the conjugate acid; then one uses the relation pKb = 14 − pKa, which holds at 25 °C for conjugate pairs. This gives the pKb of a base directly from the tabulated pKa of its corresponding acid.
Why does pKa + pKb = 14 hold?+
The relation follows from the ion product of water. For a conjugate acid-base pair HA/A⁻ the acid constant Ka of the acid and the base constant Kb of the conjugate base multiply exactly to the ion product of water: Ka·Kb = Kw. At 25 °C, Kw = 10⁻¹⁴. Taking the logarithm of this equation and multiplying by minus one turns the product into a sum: pKa + pKb = pKw = 14. Intuitively this means: the stronger an acid, the weaker its conjugate base, and vice versa. It is important that the 14 holds only at 25 °C, because Kw is temperature-dependent, and only for a genuinely conjugate pair, not for arbitrary acids and bases.
How do you calculate the pH of a weak base?+
For a weak base you first calculate the pOH and from it the pH. The approximation is pOH = ½·(pKb − lg c₀), where c₀ is the initial concentration of the base. It holds when c₀ is much larger than Kb, so the protolysis proceeds only to a small extent. Then you use pH = 14 − pOH. Example: 0.1 mol/L ammonia with pKb = 4.75 gives pOH = ½·(4.75 − lg 0.1) = ½·(4.75 + 1) = 2.88 and thus pH = 14 − 2.88 = 11.12. A common mistake is to leave the pOH as the final answer; almost always the pH is asked for. For strong bases this approximation does not hold; there you calculate pOH = −lg c directly.
What is the difference between pKb and pKa?+
The pKa measures the strength of an acid, the pKb the strength of a base. The pKa is the negative logarithm of the acid constant Ka, which describes the equilibrium HA + H₂O ⇌ H₃O⁺ + A⁻; a small pKa means a strong acid. The pKb is the negative logarithm of the base constant Kb, which describes the equilibrium B + H₂O ⇌ BH⁺ + OH⁻; a small pKb means a strong base. Both quantities are linked via the conjugate pair: pKa + pKb = 14 at 25 °C. In practice tables usually list only the pKa; the pKb of the corresponding base is calculated from it. Both share the same logarithmic logic: one unit of difference corresponds to a factor of ten in the constant.
Why is ammonia a weak base?+
Ammonia NH₃ is a weak base because it protolyses only incompletely in water. In the equilibrium reaction NH₃ + H₂O ⇌ NH₄⁺ + OH⁻ the equilibrium lies predominantly on the left side; only a small fraction of the ammonia molecules actually take up a proton. This is expressed in the small base constant Kb = 1.78×10⁻⁵ mol/L and the pKb of 4.75. For comparison: a strong base like sodium hydroxide dissociates completely. Nevertheless an ammonia solution reacts distinctly basic, because even the small amount of hydroxide ions formed raises the pH above seven; a 0.1-molar solution reaches about pH 11. Weak thus refers to the degree of protolysis, not to the solution being only slightly basic.
Retain pKb Value (Base Constant) for exams
Create a curated FSRS exam set for pKb = −lg(Kb): formula recall, variables, derivation, rearrangement, worked example, common mistakes and exam context.
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How do you calculate with pKb Value (Base Constant)?
Here is how to work through a typical pKb Value (Base Constant) (pKb = −lg(Kb)) task step by step:
- 1
Task
pKa(NH₄⁺) = 9.25: what is the pKb of ammonia?
Solution path
pKb = 14 − pKa = 14 − 9.25 = 4.75. Ammonia is thus a typical weak base.
- 2
Task
Calculate the pH of 0.01 mol/L ammonia (pKb = 4.75).
Solution path
pOH = ½·(pKb − lg c₀) = ½·(4.75 + 2) = 3.38 → pH = 14 − 3.38 = 10.62. The solution is clearly basic.
pKb = −lg(Kb) · 11 cards ready
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