Introduction To Monte Carlo Simulation

By R. Harrison. AIP Conference Proceedings, 2010

386 citations recorded by the source corpus.

This paper reviews the history and principles of Monte Carlo simulation, emphasizing techniques commonly used in the simulation of medical imaging.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/bba3203e531f2042f6f275383df7863d4b842055

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Alisson Marques da Silva
2. Tiago Alves de Oliveira
3. Letícia C. Assis
4. Alex Gutterres Taranto
5. Eduardo Habib Bechelane Maia

In Statistical and Nonlinear Physics

1. Alisson Marques da Silva
2. Tiago Alves de Oliveira
3. Letícia C. Assis
4. Alex Gutterres Taranto
5. Eduardo Habib Bechelane Maia

Citations in the corpus

• Structure-Based Virtual Screening: From Classical to Artificial Intelligence (2020, methodology): “…methods such as incremental construction used by FlexX (Rarey et al., 1996), Surflex (Spitzer and Jain, 2012), and Sybyl-X (Certara, 2016); (Harrison, 2010); • Simulated annealing (SA) (Doucet and Pelletier, 2007), Hatmal and Taha (Hatmal and Taha, 2017); • Conformational space annealing…”