 
    
Responsive molecular units, such as molecular switches and motors, can undergo precise structural changes that alter chemical and physical properties at the atomic scale. These transformations are triggered by external stimuli like light, heat, or mechanical force. Understanding the intrinsic properties of these molecules is key to uncovering the fundamental principles that govern stimuli-driven dynamics at the molecular level. These insights not only deepen our knowledge of how molecules behave but also pave the way for designing more complex and functional molecular systems. Our research group uses atomistic simulations to explore these dynamic processes and reveal the underlying mechanisms that drive molecular responsiveness.
Selective publications:
 
    
The structure of molecular-based materials is a fundamental aspect in determining their functionality. At the heart of this lies how molecules assemble, often through self-organization, and how ordered or amorphous structures grow. Understanding the interactions, organization, and evolution of individual molecules, especially at surfaces or within solvent environments, is crucial to controlling the structure and resulting properties of larger molecular assemblies. These processes often rely on delicate balances of non-covalent interactions and spatial constraints. To elucidate the structural and dynamic properties at the atomic level and to identify the key factors that govern structure formation, our team employs advanced simulation techniques. By revealing these underlying mechanisms, we aim to guide the molecular engineering of functional architectures.
Selective publications:
 
    
Responsive materials derive their unique functionality from the interplay of precise arrangement and dynamic behaviour of molecular building blocks. Through molecular engineering, these materials can be tailored to respond to external stimuli resulting in designated and on-demand functionality for applications such as soft robotic, photonics, smart membranes, and catalysis. Our research group develops interatomic atomic potentials, using genetic algorithms and machine learning approaches, to efficiently and accurately capture coupled, cooperative and collective dynamic at the different length and time scales. By providing a mechanistic insight and revealing how molecular-level phenomena translate into functionality, we aim to contribute to the rational development of programmable and stimuli-responsive materials.
Selective publications:
Recent Research Highlights
2019
 
    
S. Amirjalayer*, W. J. Buma*, Chem. Eur. J., 2019, DOI: 10.1002/chem.201805810 ("Hot Paper").(*corresponding author)
S. Amirjalayer*, H. Fuchs, D. Marx, Angew. Chem. Int. Ed. 2019, 58, 5232. (*corresponding author)
2018
 
    
H. Mönig, S. Amirjalayer, A. Timmer, Z. Hu, L. Liu, O. Díaz Arado, M. Cnudde, C. A. Strassert, W. Ji, M. Rohlfing, H. Fuchs, Nature Nanotechnology Advance Online Publication, DOI: 10.1038/s41565-018-0104-4.
S. Amirjalayer*, A. Martinez-Cuezva, J. Berna, S. Woutersen*, W. J. Buma*, Angew. Chem. Int. Ed., 2018, 57, 1792. (*corresponding author)
2017
G. Wang, A. Rühling, S. Amirjalayer, M. Knor, J. B. Ernst, H.-J Gao, H.-Y. Gao, C. Richter, N. L. Doltsinis, F. Glorius, H. Fuchs, Nature Chemistry, 2017, 9, 152.
 
    
 
    
D. Ji*, X. Xu*, L. Jiang*, S. Amirjalayer*, L. Jiang, Y. Zhen, Y. Zou, Y. Yao, H. Dong, J. Yu, H. Fuchs, W. Hu, J. Am. Chem. Soc., 2017, 139, 2734. (*co-first author)
2016
S. Amirjalayer*, A. Cnossen, W. R. Browne, B. L. Feringa, W. J. Buma, S. Woutersen, J. Phys. Chem. A 2016, 120, 8606. (*corresponding author)
 
    
 
    
    S. Amirjalayer*, R. Schmid, J. Phys. Chem. C 2016, 120, 27319. (*corresponding
    author)
R. Becker, S. Amirjalayer, P. Li, S. Woutersen, J. N.H. Reek, Science Advances 2016, 2, e1501014.
 
    
2015
 
    
E. M.M. Tan, S. Amirjalayer, S. Smolarek, A. Vdovin, F. Zerbetto, W. J. Buma, Nature Commun. 2015 , 6:5860.