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First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.

V. Weber, A. Malossi, I. Tavernelli, T. Laino, C. Bekas, M. Modani, N. Wilner, T. Heller, and A. Curioni. ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 228-234. (2016)

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Valerio Laino

George Teodoro

Teodoro Kausel

Teodoro Meyer

Teodoro Kausel

Other publications of authors with the same name

Exploring Chemical Space using Natural Language Processing Methodologies for Drug Discovery.H. Öztürk, A. Özgür, P. Schwaller, T. Laino, and E. Ölmez. CoRR, (2020)CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.V. Chenthamarakshan, P. Das, S. Hoffman, H. Strobelt, I. Padhi, K. Lim, B. Hoover, M. Manica, J. Born, T. Laino and 1 other author(s). NeurIPS, (2020)Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.Y. Alexeev, M. Amsler, M. Barroca, S. Bassini, T. Battelle, D. Camps, D. Casanova, Y. Choi, F. Chong, C. Chung and 118 other author(s). Future Gener. Comput. Syst., (2024)Unassisted noise reduction of chemical reaction datasets.A. Toniato, P. Schwaller, A. Cardinale, J. Geluykens, and T. Laino. Nat. Mach. Intell., 3 (6): 485-494 (2021)Mapping the space of chemical reactions using attention-based neural networks.P. Schwaller, D. Probst, A. Vaucher, V. Nair, D. Kreutter, T. Laino, and J. Reymond. Nat. Mach. Intell., 3 (2): 144-152 (2021)Unifying Molecular and Textual Representations via Multi-task Language Modelling.D. Christofidellis, G. Giannone, J. Born, O. Winther, T. Laino, and M. Manica. ICML, volume 202 of Proceedings of Machine Learning Research, page 6140-6157. PMLR, (2023)Neural Machine Translation for Conditional Generation of Novel Procedures.J. Geluykens, S. Mitrovic, C. Vázquez, T. Laino, A. Vaucher, and J. Weerdt. HICSS, page 1-10. ScholarSpace, (2021)Shedding Light on Lithium/Air Batteries Using Millions of Threads on the BG/Q Supercomputer.V. Weber, C. Bekas, T. Laino, A. Curioni, A. Bertsch, and S. Futral. IPDPS, page 735-744. IEEE Computer Society, (2014)Molecular Transformer for Chemical Reaction Prediction and Uncertainty Estimation.P. Schwaller, T. Laino, T. Gaudin, P. Bolgar, C. Bekas, and A. Lee. CoRR, (2018)First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.V. Weber, A. Malossi, I. Tavernelli, T. Laino, C. Bekas, M. Modani, N. Wilner, T. Heller, and A. Curioni. ISC Workshops, volume 9945 of Lecture Notes in Computer Science, page 228-234. (2016)

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Disambiguation of "Laino, Teodoro"

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First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.

Please choose a person to relate this publication to

Valerio Laino

George Teodoro

Teodoro Kausel

Teodoro Meyer

Teodoro Kausel

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Laino, Teodoro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.

Please choose a person to relate this publication to

Valerio Laino

George Teodoro

Teodoro Kausel

Teodoro Meyer

Teodoro Kausel

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.