Topology of classical molecular optimal control landscapes for multi-target objectives-Reference-Cited by-同舟云学术

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Topology of classical molecular optimal control landscapes for multi-target objectives

Published:2015-04-21 Issue:15 Volume:142 Page:154115
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:The Journal of Chemical Physics

Author:

Joe-Wong Carlee¹^ORCID,Ho Tak-San²,Rabitz Herschel²,Wu Rebing³

Affiliation:

1. Program in Applied and Computational Mathematics, Princeton University, Princeton, New Jersey 08544-1000, USA

2. Department of Chemistry, Princeton University, Princeton, New Jersey 08544-1009, USA

3. Department of Automation, Tsinghua University, Beijing, People’s Republic of China

Funder

Army Research Office (ARO)-MURI

NDSEG Fellowship

Princeton Program in Plasma Science and Technology

National Science Foundation (NSF)

Army Research Office (ARO)

National Natural Science Foundation of China (NSFC)

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4918274

Reference70 articles.

1. Control of quantum phenomena: past, present and future

2. Whither the Future of Controlling Quantum Phenomena?

3. Coherent Control of Quantum Dynamics: The Dream Is Alive

4. Understanding Modern Molecular Dynamics: Techniques and Applications

5. Classical Trajectory Methods for Polyatomic Molecules

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1. The Surprising Ease of Finding Optimal Solutions for Controlling Nonlinear Phenomena in Quantum and Classical Complex Systems;The Journal of Physical Chemistry A;2023-05-04

2. Assessing the structure of classical molecular optimal control landscapes;Chemical Physics;2019-11

3. Optimal control of orientation and entanglement for two dipole–dipole coupled quantum planar rotors;Physical Chemistry Chemical Physics;2018

4. Pareto-front shape in multiobservable quantum control;Physical Review A;2017-03-17

5. Rapid Lyapunov control for decoherence-free subspaces of Markovian open quantum systems;Journal of the Franklin Institute;2017-01

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