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05.09.2022 - 09.09.2022, Iseolago hotel, Iseo, Italy.


MUST2022 Conference- a great success!
New scientific highlights- by MUST PIs Wörner, Chergui, and Richardson
FELs of Europe prize for Jeremy Rouxel- “Development or innovative use of advanced instrumentation in the field of FELs”
Ruth Signorell wins Doron prizefor pioneering contributions to the field of fundamental aerosol science
New FAST-Fellow Uwe Thumm at ETH- lectures on Topics in Femto- and Attosecond Science
International Day of Women and Girls in Science- SSPh asked female scientists about their experiences
New scientific highlight- by MUST PIs Milne, Standfuss and Schertler
EU XFEL Young Scientist Award for Camila Bacellar,beamline scientist and group leader of the Alvra endstation at SwissFEL
Prizes for Giulia Mancini and Rebeca Gomez CastilloICO/IUPAP Young Scientist Prize in Optics & Ernst Haber 2021
Nobel Prize in Chemistry awarded to RESOLV Member Benjamin List- for the development of asymmetric organocatalysis
NCCR MUST at Scientifica 2021- Lightning, organic solar cells, and virtual molecules
#NCCRWomen- NCCR MUST celebrates 50 years women’s right to vote in Switzerland

A Perspective on the Quantum Control Road Ahead

Date Fr, 19.08.2011 - Fr, 19.08.2011
Time 10:00
Speaker Prof H. Rabitz from Princeton, Department of Chemistry
Location Auditoire Stuckelberg, Ecole de Physique, Quai Ansermet 24
Program The goals of chemical synthesis and property optimization may at first appear to be distinct from the control of molecular scale dynamical events with laser pulses. However, these subjects are intimately connected at a fundamental level through their common utilization of optimal control principles including at the quantum mechanical level. The presentation will first highlight the key concepts of laser driven quantum control achieving optimal performance, which is proving to be easier than expected. The talk will then transition over to considering the parallel goal of identifying optimal conditions for chemical and material synthesis as well as optimizing the properties of the products, which are often much easier to achieve than simple reasoning would predict. The potential search space is infinite in principle and enormous in practice, yet optimal molecules, materials, and synthesis conditions for many objectives can often be found by performing a reasonable number of distinct experiments. Considering the goal of chemical synthesis or property identification as optimal control problems provides insight into this good fortune. Both of these goals may be described by a fitness function J that depends on a suitable set of variables (e.g., reactant concentrations, components of a material, processing conditions, etc.). The relationship between J and the variables specifies the fitness landscape for the target objective. Upon making simple physical assumptions, the fitness landscape for chemical optimization can be shown to contain no local sub‐optimal maxima that may hinder attainment of the absolute best value of J. This feature provides a basis to explain the many reported efficient optimizations of synthesis conditions and molecular or material properties. We refer to this development as OptiChem theory. The predicted characteristics of chemical fitness landscapes are assessed through a broad examination of the recent literature, which shows ample evidence of trap‐free landscapes for many objectives. The implications of OptiChem theory for chemistry will be discussed along with the broader perspective encompassing the use of tailored laser fields for manipulating molecular phenomena.

Contact à Genève

Prof. Jean-Pierre WOLF
University of Geneva
20, Rue Ecole de Medecine
CH 1211 Geneve 4 (Switzerland)

Tel.: +41 22 379 65 94
Fax.: +41 22 379 39 80
Download Abstract (81 KB)
(75 KB)
Link Rabitz Homepage
GAP Homepage
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