Condensed matter physicist working with machine learning, PhD at SISSA and currently a post-doc in Ecole Polytechnique Fédérale de Lausanne at
@labcosmo.bsky.social
PhD at FU Berlin in Condensed Matter Theory
Switzerland’s largest research institute for natural and engineering sciences. #ResearchAtPSI
in passage through all spheres
web: marcel.computer
work: @marceldotsci.bsky.social
Associate professor at NCU, Poland.
Developing advanced methods for atomistic simulations.
Scientist | Full Professor at Politecnico di Torino (IT) | ERC Consolidator grantee | Head of CPC Lab: http://www.gmpavanlab.polito.it | Self-assembly, chemical physics, materials science, soft matter, complex systems, emergent properties
Computational/Theoretical/Mathematical Chemistry | Electrons | Density Functional Theory | presently at Microsoft Research AI for Science
Trying to build better machine-learning surrogate models for DFT. Postdoc @ COSMO Lab (EPFL) 👨🏻🚀.
https://marcel.science
We use supramolecular chemistry to access novel functional compounds and materials by self-assembly. We also love fluorine chemistry, photoswitches, and ultrasound and are located at Heinrich Heine University Düsseldorf, Germany.
Computational Chemist. 🦀🐍 Scientist at BAM
+ Professor FSU Jena. Only private opinions here.
Last name: German pronunciation. 🏳️🌈 she/they (sie).
@JaGeo on github
Ab initio materials simulations at Duke University. Associate professor, Duke MEMS & Chemistry. https://aims.pratt.duke.edu/ . Opinions my own. Unlike the shirt on the right side of the profile image, which is not my own. The number on the shirt is 10.
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
Virtual Chemist; Liúdramán; Personal Opinions
Physicist, professor @univie.ac.at, director of @esivienna.bsky.social, computational physics, statistical mechanics, machine learning, soft matter, biking, hiking, skiing, *320 ppm. 🇪🇺
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Advancing scientific research through computational methods and software tools. Centers: #FlatironCCA, #FlatironCCB, #FlatironCCM, #FlatironCCN and #FlatironCCQ
Scientist & Scuba Diver - I love theoretical physics, sharks, and pygmy seahorses - http://www.instagram.com/clementicecilia - http://www.physik.fu-berlin.de/en/einrichtungen/ag/ag-clementi
Professor in Computational Materials Chemistry at Imperial College (she/her).
