Saeed Amirjalayer
samirjalayer.bsky.social
Saeed Amirjalayer
@samirjalayer.bsky.social
Prof. of Computational Chemistry
Heisenberg-Prof. (DFG)
Interdisciplinary Center for Scientific Computing
Heidelberg University
samirjalayer.de

Multiscale Simulations, Machine Learning, Evolutionary Algorithms
Responsive&adaptive functional materials
Pinned
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
Had the chance to visit #IIITHyderabad and present some of our research activities @uniheidelberg.bsky.social Thanks to Deva Priyakumar and the whole group for hosting me! Great exchange and scientific discussion!
February 22, 2025 at 9:28 AM
Thanks @kenitami.bsky.social group and former colleagues @uni-muenster.de for this great collaboration. Just out in @naturecomms.bsky.social
@uniheidelberg.bsky.social
Our thiophene belt paper is now out in @naturecomms.bsky.social ! This amazing connecting-the-dot molecules (structurally beautiful aromatic belt + function-rich thiophene) were designed and synthesized by our very own Hiroki Shudo! Congrats all!  (1/4)
www.nature.com/articles/s41...
February 5, 2025 at 3:31 PM
Thanks Guillaume!
January 16, 2025 at 11:48 AM
Reposted by Saeed Amirjalayer
… and of course thanks a lot to the news teams @uniheidelberg.bsky.social and the IWR!
January 14, 2025 at 2:59 PM
A bit delayed post (as usual ☺️) but some updates in the newsroom @uniheidelberg.bsky.social

www.uni-heidelberg.de/en/newsroom/...
Research at Universität Heidelberg Supported by a Heisenberg Professorship
www.uni-heidelberg.de
January 13, 2025 at 9:31 AM
Reposted by Saeed Amirjalayer
* Computational Surface Chemistry/Physics

* Investigation of structural and dynamic properties of molecular switches and machines

* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
December 4, 2024 at 5:06 PM
Reposted by Saeed Amirjalayer
* Computational Surface Chemistry/Physics

* Investigation of structural and dynamic properties of molecular switches and machines

* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:56 PM
Reposted by Saeed Amirjalayer
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:56 PM
Reposted by Saeed Amirjalayer
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:54 PM
* Computational Surface Chemistry/Physics

* Investigation of structural and dynamic properties of molecular switches and machines

* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
December 4, 2024 at 5:06 PM
* Computational Surface Chemistry/Physics

* Investigation of structural and dynamic properties of molecular switches and machines

* Atomistic investigations of porous materials (e.g. MOF, COFs, cages)
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:56 PM
Topics include
* Multiscale simulations of stimuli-responsive functional materials

* Development and application of evolutionary algorithms, neural networks and machine learning for modeling, evaluation and visualization of dynamic phenomena
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:56 PM
Multiple PhD positions available
in our group in the field of computational and theoretical chemistry

Feel free to forward the info and please apply via

phdheidelberg@gmail.com
December 4, 2024 at 4:54 PM
Reposted by Saeed Amirjalayer
Supported by the Heisenberg program of the DFG (@dfgpublic.bsky.social), we recently moved to Heidelberg!
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via

PhdHeidelberg@gmail.com
November 18, 2024 at 6:06 PM
Supported by the Heisenberg program of the DFG (@dfgpublic.bsky.social), we recently moved to Heidelberg!
Developing and applying computational tools to perform multiscale investigations at the interface of chemistry, physics and material science. To join our team, apply via

PhdHeidelberg@gmail.com
November 18, 2024 at 6:06 PM