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WikiCards · Card list · Science cards · Hubbard model
Uncommon card · Science
Hubbard model, an Uncommon card
The Hubbard model is a simplified model used to describe the transition between conducting and insulating systems.
- Rarity
- Uncommon
- Domain
- Science
- ATK
- 63
- DEF
- 34
- Power
- 97
- Wikipedia reads a year
- 39,000
Power 97 (ATK + DEF): stronger than 40 % of WikiCards cards.
The facts on the card
The card carries these facts from its Wikipedia article.
- It is particularly useful in solid-state physics.
- The model is named after John Hubbard.
- The Hubbard model states that each electron experiences competing forces: one pushes it to tunnel to neighboring atoms, while the other pushes it away from its neighbors.
Why it is Uncommon
Rarity in WikiCards follows a year of Wikipedia page views: the most read articles become Epic and Legendary cards. The Hubbard model article was read about 39,000 times in a year. ATK comes from the length of the article and DEF from its quality, so this card hits with 63 and blocks with 34: each hit it takes is cut by 14 %.
How to get Hubbard model
Open packs. Each pack holds five cards drawn from real Wikipedia articles, the rarest last, and the fifth card is always Rare or better. The odds are shown in the game. A free pack arrives every hour and two can wait, and the Coins you win in duels buy more packs.
More Science cards
Cards close in power
The cards just above and just below Hubbard model in the power ranking, all domains together.
- Khải ĐịnhUncommon · History · ATK 58 DEF 39
- MantovaniUncommon · Arts · ATK 58 DEF 39
- Bekenstein boundUncommon · Science · ATK 61 DEF 36
- Andrew ViterbiUncommon · Science · ATK 63 DEF 34
- Brook TaylorUncommon · Science · ATK 59 DEF 38
- Desmond HaynesUncommon · Society · ATK 63 DEF 34
Card lists
- Wikipedia quizNew questions every day
- All cards from A to ZEvery card, by name
- Science cards
- Legendary cards
- Tier listS and A tiers by power (ATK + DEF)
Credits
Text : Wikipedia, Hubbard model (revision), CC BY-SA 4.0. Photo : Susumu Yamada, Toshiyuki Imamura, Masahiko Machida, CC BY-SA 4.0, Wikimedia Commons.
