Leonardo Medrano
@lmedranos88.bsky.social
Computational physicist/chemist at Dresden University of Technology, Germany | Chemical Physics, Machine learning, NanoPhononics, Computational modeling, Materials Science 🇵🇪
🗣️The #ieeenanoperu Chapter, in collaboration with #IEEE Nanotechnology Council, is organizing the first IEEE #LatinAmerican Conference on #Nanotechnology ( #ieeelanano), to be held in the historic city of Cusco, #Peru, from November 4-7, 2025.
👉 ieee-lanano.org
@ieeexplore.bsky.social #IYQ2025
👉 ieee-lanano.org
@ieeexplore.bsky.social #IYQ2025
July 14, 2025 at 11:55 PM
🗣️The #ieeenanoperu Chapter, in collaboration with #IEEE Nanotechnology Council, is organizing the first IEEE #LatinAmerican Conference on #Nanotechnology ( #ieeelanano), to be held in the historic city of Cusco, #Peru, from November 4-7, 2025.
👉 ieee-lanano.org
@ieeexplore.bsky.social #IYQ2025
👉 ieee-lanano.org
@ieeexplore.bsky.social #IYQ2025
🚨Our short review “Recent Advances in #MachineLearning and #CoarseGrained Potentials for #BiomolecularSimulations” has been accepted in @biophysj.bsky.social @cellpress.bsky.social!
Many thanks to all authors for their contributions! This was a fantastic collaboration!👏
www.cell.com/biophysj/ful...
Many thanks to all authors for their contributions! This was a fantastic collaboration!👏
www.cell.com/biophysj/ful...
July 7, 2025 at 8:08 PM
🚨Our short review “Recent Advances in #MachineLearning and #CoarseGrained Potentials for #BiomolecularSimulations” has been accepted in @biophysj.bsky.social @cellpress.bsky.social!
Many thanks to all authors for their contributions! This was a fantastic collaboration!👏
www.cell.com/biophysj/ful...
Many thanks to all authors for their contributions! This was a fantastic collaboration!👏
www.cell.com/biophysj/ful...
👋Just two weeks left to register for the #SusML Workshop 2025 in Dresden! susml.net
Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces.
#Psik @tudresden.bsky.social @digital-discovery.rsc.org @mpipks.bsky.social
Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces.
#Psik @tudresden.bsky.social @digital-discovery.rsc.org @mpipks.bsky.social
June 2, 2025 at 10:59 AM
👋Just two weeks left to register for the #SusML Workshop 2025 in Dresden! susml.net
Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces.
#Psik @tudresden.bsky.social @digital-discovery.rsc.org @mpipks.bsky.social
Have a look at our exceptional lineup of speakers that will discuss current ML methods for the sustainable exploration of chemical spaces.
#Psik @tudresden.bsky.social @digital-discovery.rsc.org @mpipks.bsky.social
🚨Check out our recent #preprint on advancing Density Functional Tight-Binding method with equivariant NNs. We have been developing this project for a while, and we now present the results that highlight the enhanced scalability/transferability of our DFTB+ML approach.
🌐 chemrxiv.org/engage/chemr...
🌐 chemrxiv.org/engage/chemr...
April 25, 2025 at 10:23 AM
🚨Check out our recent #preprint on advancing Density Functional Tight-Binding method with equivariant NNs. We have been developing this project for a while, and we now present the results that highlight the enhanced scalability/transferability of our DFTB+ML approach.
🌐 chemrxiv.org/engage/chemr...
🌐 chemrxiv.org/engage/chemr...
👋Hallo there!
The registration for the SusML workshop is OPEN! Join us in discussions on topics such as data-efficient ML-based methodologies and the inverse property-to-structure problem. See you at @tudresden.bsky.social in Germany!
👉More information: susml.net
Stay tuned for more updates!😉
The registration for the SusML workshop is OPEN! Join us in discussions on topics such as data-efficient ML-based methodologies and the inverse property-to-structure problem. See you at @tudresden.bsky.social in Germany!
👉More information: susml.net
Stay tuned for more updates!😉
March 15, 2025 at 12:22 PM
👋Hallo there!
The registration for the SusML workshop is OPEN! Join us in discussions on topics such as data-efficient ML-based methodologies and the inverse property-to-structure problem. See you at @tudresden.bsky.social in Germany!
👉More information: susml.net
Stay tuned for more updates!😉
The registration for the SusML workshop is OPEN! Join us in discussions on topics such as data-efficient ML-based methodologies and the inverse property-to-structure problem. See you at @tudresden.bsky.social in Germany!
👉More information: susml.net
Stay tuned for more updates!😉
👋Preprint: check out our contribution to this short review where we discuss recent efforts toward developing robust #machinelearning potentials for #biomolecularsimulations with #quantummechanical accuracy. 👀
👉The preprint is available on @chemrxiv.bsky.social: chemrxiv.org/engage/chemr...
👉The preprint is available on @chemrxiv.bsky.social: chemrxiv.org/engage/chemr...
February 8, 2025 at 5:15 PM
👋Preprint: check out our contribution to this short review where we discuss recent efforts toward developing robust #machinelearning potentials for #biomolecularsimulations with #quantummechanical accuracy. 👀
👉The preprint is available on @chemrxiv.bsky.social: chemrxiv.org/engage/chemr...
👉The preprint is available on @chemrxiv.bsky.social: chemrxiv.org/engage/chemr...
🚨The first preprint of the year is out on @chemrxiv.bsky.social! Great collaboration with Mirela, Alexander, Peter et al.!!👍
chemrxiv.org/engage/chemr...
We introduce the QUID benchmark framework for large non-covalent systems, capturing frequent ligand-pocket interaction types.
chemrxiv.org/engage/chemr...
We introduce the QUID benchmark framework for large non-covalent systems, capturing frequent ligand-pocket interaction types.
January 19, 2025 at 1:07 AM
🚨The first preprint of the year is out on @chemrxiv.bsky.social! Great collaboration with Mirela, Alexander, Peter et al.!!👍
chemrxiv.org/engage/chemr...
We introduce the QUID benchmark framework for large non-covalent systems, capturing frequent ligand-pocket interaction types.
chemrxiv.org/engage/chemr...
We introduce the QUID benchmark framework for large non-covalent systems, capturing frequent ligand-pocket interaction types.