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).
Mechanical Work
Mechanical work is done when a force displaces a body along a path; only the force component along the path counts.
Free · no credit card · in your study plan in 2 minutes
Formula
W = F \cdot s \cdot \cos(\alpha)Variables & units – Mechanical Work
| Symbol | Meaning | Unit |
|---|---|---|
| W | Mechanical work | J (Joule) |
| F | Acting force | N |
| s | Distance travelled | m |
| α | Angle between force and path direction | ° |
Derivation & background – Mechanical Work
Work is the transfer of energy by a force along a path: W = F⃗·s⃗ (scalar product). If the force points along the path (α = 0°), simply W = F·s. If it is perpendicular to the path (α = 90°), no work is done, which is why the centripetal force on a circular path does no work. Special forms: lifting work W = m·g·h, elastic work W = ½kx².
Exam blueprint
Validity range
Holds for constant forces along straight paths; for varying forces integrate (W = ∫F ds). Forces perpendicular to the path do no work.
Derivation steps
Work is the scalar product of force and displacement vectors; only the force component along the path counts.
- 1Decompose the force: the component along the path is F·cos(α).
- 2Work = effective force times distance: W = F·cos(α)·s.
Rearrangements
Force from work and distance (α = 0°)
Only when the force acts parallel to the path.
Lifting work
Special case: the force is the weight, the distance is the lifting height.
Distance from work and force
At α = 90° the formula does not apply; no work is done.
Task variant
A sled is pulled with F = 80 N at α = 60° over s = 5 m. Find W.
W = 80 × 5 × cos(60°) = 400 × 0.5 = 200 J.
How much lifting work is needed to raise 20 kg by 2 m?
W = m·g·h = 20 × 9.81 × 2 ≈ 392 J.
Common mistakes
Ignoring the angle and always computing W = F·s.
Only the component along the path counts: W = F·s·cos(α).
Attributing work to the normal or centripetal force.
Forces perpendicular to the path (α = 90°) do no work.
Equating work and power.
Work is energy transfer (J), power is work per time (W).
Exam context
- Often an energy-balance step: compute lifting, friction or acceleration work and compare with E_kin/E_pot.
These mistakes cost points in real exams. The set drills them until they stick.
Formula cluster
Work and energy
Work is the transfer process, energy the stored state.
Worked example
A crate is pulled with F = 50 N exactly along the path (α = 0°) over s = 10 m: W = 50 × 10 × cos(0°) = 500 J.
Applications
Lifting work with cranes, efficiency analysis, braking work, physiology (climbing stairs)
Quanta exam set
Curated exam set for "Mechanical Work":
Question (front)
Which formula describes Mechanical Work?
Answer in your set
Question (front)
How do you rearrange W = F·s·cos(α) for Force from work and distance (α = 0°)?
Answer in your set
Question (front)
Which common mistake happens with Mechanical Work?
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 Mechanical Work
How do you calculate mechanical work?+
Multiply the force by the distance and the cosine of the angle between them: W = F·s·cos(α). If the force pulls exactly along the path (α = 0°, cos = 1), simply W = F·s: a crate pulled with 50 N over 10 m receives W = 500 J. If the force acts at an angle, only its component along the path counts; at α = 60° only half, since cos(60°) = 0.5. If the force is perpendicular to the path (α = 90°), no work is done at all. The unit is the joule: 1 J = 1 N·m. Always check that force is in newtons and distance in metres.
Why is physically no work done when carrying a bag?+
Because the holding force is perpendicular to the path. When carrying horizontally, the force holding the bag points upward (against gravity) while the path runs horizontally; the angle is 90° and cos(90°) = 0, so W = 0. Physical work requires a force component in the direction of motion. That carrying still feels strenuous is biology: muscles consume chemical energy even when merely holding, because their fibres constantly re-tension. You do work in the physical sense only when lifting the bag (lifting work W = m·g·h) or accelerating it. This distinction between physiological effort and physical work is a classic conceptual question.
What are lifting work, acceleration work and friction work?+
These are the three most important special cases of W = F·s. Lifting work: raising against gravity, W = m·g·h; for 20 kg raised 2 m that is 20 × 9.81 × 2 ≈ 392 J, stored as potential energy. Acceleration work: making the body faster, W = ½mv² − ½mv₀², which becomes kinetic energy. Friction work: pushing against the friction force, W = F_R·s, which turns into heat and is "lost" to mechanics. In many problems they combine: pushing a crate up a ramp requires lifting work plus friction work. The conservation of energy connects all three; every piece of work done reappears as a form of energy.
How are work and energy related?+
Work is the process of energy transfer, energy the stored state; both are measured in joules. If you do work on a body, its energy rises by exactly that amount: lifting work becomes potential energy, acceleration work kinetic energy. The work-energy theorem summarises this: W = ΔE. Conversely, a body with energy can itself do work; water in a reservoir drives turbines as it flows down. A picture helps: energy is the account balance, work the bank transfer. Power then states how fast the transfer happens (P = W/t). Cleanly separating this chain of work, energy and power wins half the marks in mechanics exams.
Why is there a cosine in the work formula?+
Because work is defined as the scalar product of force and displacement vectors: W = F⃗·s⃗ = F·s·cos(α). The cosine projects the force onto the path direction; only this share actually pushes the body forward. The transverse component F·sin(α) merely presses it against the surface and contributes nothing. Three limiting cases make this clear: α = 0° gives cos = 1, full effect (pulling along the path); α = 90° gives cos = 0, no work (carrying, centripetal force); α = 180° gives cos = −1, negative work, where the force brakes, like friction acting exactly against the path. Negative work means mechanical energy is being taken from the body.
Retain Mechanical Work for exams
Create a curated FSRS exam set for W = F·s·cos(α): 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 Mechanical Work?
Here is how to work through a typical Mechanical Work (W = F·s·cos(α)) task step by step:
- 1
Task
A sled is pulled with F = 80 N at α = 60° over s = 5 m. Find W.
Solution path
W = 80 × 5 × cos(60°) = 400 × 0.5 = 200 J.
- 2
Task
How much lifting work is needed to raise 20 kg by 2 m?
Solution path
W = m·g·h = 20 × 9.81 × 2 ≈ 392 J.
W = F·s·cos(α) · 10 cards ready
Study as an exam set