Charles S. Peskin
E409888
Charles S. Peskin is an American applied mathematician best known for developing the immersed boundary method for simulating fluid–structure interactions, particularly in modeling blood flow and the heart.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Charles S. Peskin canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4019977 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Charles S. Peskin Context triple: [Norbert Wiener Prize in Applied Mathematics, notableLaureate, Charles S. Peskin]
-
A.
Alexandre J. Chorin
Alexandre J. Chorin is a mathematician renowned for his pioneering work in computational fluid dynamics and numerical methods for solving the Navier–Stokes equations.
-
B.
Andrew J. Majda
Andrew J. Majda was an influential American mathematician renowned for his pioneering work in applied mathematics, particularly in partial differential equations and atmospheric and oceanic sciences.
-
C.
Norman J. Zabusky
Norman J. Zabusky was an American physicist renowned for his pioneering work in computational fluid dynamics and the discovery of solitons in nonlinear wave equations.
-
D.
Philip J. Davis
Philip J. Davis was an American mathematician and prolific author known for his influential works on numerical analysis, the history and philosophy of mathematics, and popular mathematical writing.
-
E.
Raymond E. Goldstein
Raymond E. Goldstein is a physicist renowned for his pioneering work in biological and nonlinear fluid dynamics, for which he received the APS Fluid Dynamics Prize.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Charles S. Peskin Target entity description: Charles S. Peskin is an American applied mathematician best known for developing the immersed boundary method for simulating fluid–structure interactions, particularly in modeling blood flow and the heart.
-
A.
Alexandre J. Chorin
Alexandre J. Chorin is a mathematician renowned for his pioneering work in computational fluid dynamics and numerical methods for solving the Navier–Stokes equations.
-
B.
Andrew J. Majda
Andrew J. Majda was an influential American mathematician renowned for his pioneering work in applied mathematics, particularly in partial differential equations and atmospheric and oceanic sciences.
-
C.
Norman J. Zabusky
Norman J. Zabusky was an American physicist renowned for his pioneering work in computational fluid dynamics and the discovery of solitons in nonlinear wave equations.
-
D.
Philip J. Davis
Philip J. Davis was an American mathematician and prolific author known for his influential works on numerical analysis, the history and philosophy of mathematics, and popular mathematical writing.
-
E.
Raymond E. Goldstein
Raymond E. Goldstein is a physicist renowned for his pioneering work in biological and nonlinear fluid dynamics, for which he received the APS Fluid Dynamics Prize.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
applied mathematician
ⓘ
human ⓘ mathematician ⓘ university teacher ⓘ |
| academicDegree | Doctor of Philosophy in mathematics ⓘ |
| affiliation |
American Mathematical Society
ⓘ
SIAM ⓘ
surface form:
Society for Industrial and Applied Mathematics
|
| awardReceived |
Fellow of the American Mathematical Society
ⓘ
Fellow of the Society for Industrial and Applied Mathematics ⓘ Leroy P. Steele Prize ⓘ SIAM/ACM Prize in Computational Science and Engineering ⓘ Norbert Wiener Prize in Applied Mathematics ⓘ
surface form:
Wiener Prize in Applied Mathematics
|
| citizenship | American ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| developed | immersed boundary method ⓘ |
| doctoralAdvisor | Peter Lax ⓘ |
| educatedAt |
Harvard University
ⓘ
New York University ⓘ |
| employer |
New York University
ⓘ
surface form:
Courant Institute of Mathematical Sciences
New York University ⓘ |
| familyName | Peskin ⓘ |
| fieldOfWork |
applied mathematics
ⓘ
computational fluid dynamics ⓘ fluid–structure interaction ⓘ mathematical biology ⓘ numerical analysis ⓘ |
| gender | male ⓘ |
| givenName | Charles ⓘ |
| hasAcademicRank | professor ⓘ |
| hasResearchArea |
biomechanics
ⓘ
cardiovascular modeling ⓘ computational physiology ⓘ |
| knownFor |
computational modeling of blood flow
ⓘ
immersed boundary method ⓘ mathematical modeling of the heart ⓘ |
| language | English ⓘ |
| memberOf |
New York University
ⓘ
surface form:
Courant Institute of Mathematical Sciences
|
| name | Charles S. Peskin self-link ⓘ |
| notableStudent | David P. Gaver III ⓘ |
| notableWork | Immersed boundary method for modeling the heart ⓘ |
| occupation | applied mathematician ⓘ |
| placeOfWork | New York City ⓘ |
| researchFocus |
blood flow in the heart
ⓘ
cardiac mechanics ⓘ numerical methods for fluid–structure interaction ⓘ |
| workInstitution |
New York University
ⓘ
surface form:
Courant Institute of Mathematical Sciences
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Charles S. Peskin Description of subject: Charles S. Peskin is an American applied mathematician best known for developing the immersed boundary method for simulating fluid–structure interactions, particularly in modeling blood flow and the heart.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.