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

agamirjalayer.iwr.uni-Heidelberg.de

samirjalayer.de
Pinned
Interested in working at the interface of computational chemistry, machine learning and material science?

Feel free to get in touch with us: phdheidelberg@gmail.com
Reposted by Saeed Amirjalayer
Good news🚀 Registration for the #3DMM2O Conference 2026 has been extended to February 15. Join us at the historic Schöntal Monastery for an inspiring conference on Frontiers for Theory, Computation and Design in 3D Materials👉 future3dam.org/registration...
@kit.edu @uniheidelberg.bsky.social
February 2, 2026 at 10:31 AM
Reposted by Saeed Amirjalayer
Registration is now open for the 3DMM2O Conference 2026!🚀 Join us at the Schöntal Monastery in March to explore the latest innovations in 3D additive manufacturing.
Register here 👉 future3dam.org/registration...
#3DMM2O #AdditiveManufacturing #3DPrinting @kit.edu @uniheidelberg.bsky.social
December 2, 2025 at 10:14 AM
Reposted by Saeed Amirjalayer
Interested in working at the interface of computational chemistry, machine learning and material science?

Feel free to get in touch with us: phdheidelberg@gmail.com
December 16, 2025 at 4:24 PM
Interested in working at the interface of computational chemistry, machine learning and material science?

Feel free to get in touch with us: phdheidelberg@gmail.com
December 16, 2025 at 4:24 PM
Reposted by Saeed Amirjalayer
Interested in working at the interface of computational chemistry, machine learning and material science?

Feel free to get in touch with us: phdheidelberg@gmail.com
December 3, 2025 at 2:48 PM
Interested in working at the interface of computational chemistry, machine learning and material science?

Feel free to get in touch with us: phdheidelberg@gmail.com
December 3, 2025 at 2:48 PM
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
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
December 4, 2024 at 4:56 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
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
December 4, 2024 at 4:56 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