SIS PUT | no. 23 | vol. 122 | 2023 | Applied Physics Letters

Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Menu

Scientific Information System of the Poznań University of Technology

PL EN

Main page / Journals / Applied Physics Letters / 2023 / vol. 122 / no. 23

Journal number

Published in

Journal: Applied Physics Letters | Journal year: 2023 | Journal volume: vol. 122

Number no. 23

1.

Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents / Rachel K. Luu, Marcin Wysokowski (WTCH), Markus J. Buehler // Applied Physics Letters - 2023, vol. 122, no. 23, p. 234103-1-234103-10

Scientific article 100 3,5

System created by Poznań University of Technology and Poznan Supercomputing and Networking Center

Log in through eKonto to add to SIS

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.