Force Field Parametrization of Colloidal CdSe Nanocrystals Using an Adaptive Rate Monte Carlo Optimization Algorithm-Reference-Cited by-同舟云学术

Force Field Parametrization of Colloidal CdSe Nanocrystals Using an Adaptive Rate Monte Carlo Optimization Algorithm

Published:2016-12-06 Issue:1 Volume:13 Page:297-308
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Cosseddu Salvatore¹,Infante Ivan¹^ORCID

Affiliation:

1. Department of Theoretical Chemistry and Amsterdam Center for Multiscale Modeling (ACMM), VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.6b01089

Reference50 articles.

1. Synthesis and characterization of nearly monodisperse CdE (E = sulfur, selenium, tellurium) semiconductor nanocrystallites

2. (CdSe)ZnS Core−Shell Quantum Dots: Synthesis and Characterization of a Size Series of Highly Luminescent Nanocrystallites

3. Colloidal quantum dot solar cells

4. Compact high-quality CdSe–CdS core–shell nanocrystals with narrow emission linewidths and suppressed blinking

5. Colloidal metal oxide nanocrystal catalysis by sustained chemically driven ligand displacement

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