Tejs Vegge

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Phone+4551641787
Emailtevedtudk
Websitehttp://dcwww.camd.dtu.dk/~vegge/, http://www.dtu.dk/Service/Telefonbog/Person?id=5334&po=1&tab=1

Fysikvej, 313, 324
2800 Kgs. Lyngby
Denmark

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2024
Accelerated chemical science with AI
Back, S., Aspuru-Guzik, A., Ceriotti, M., Gryn'ova, G., Grzybowski, B., Gu, G. H., Hein, J., Hippalgaonkar, K., Hormázabal, R., Jung, Y., Kim, S., Kim, W. Y., Moosavi, S. M., Noh, J., Park, C., Schrier, J., Schwaller, P., Tsuda, K., Vegge, T. & von Lilienfeld, O. A. & 1 others, Walsh, A., 2024, In: Digital Discovery. 3, 1, p. 23-33 11 p.
Research output: Contribution to journal › Review › peer-review

Open Access
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87 Downloads (Pure)
2022
A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+
Amici, J., Asinari, P., Ayerbe, E., Barboux, P., Bayle‐Guillemaud, P., Behm, R. J., Berecibar, M., Berg, E., Bhowmik, A., Bodoardo, S., Castelli, I. E., Cekic‐Laskovic, I., Christensen, R., Clark, S., Diehm, R., Dominko, R., Fichtner, M., Franco, A. A., Grimaud, A. & Guillet, N. & 29 others, Hahlin, M., Hartmann, S., Heiries, V., Hermansson, K., Heuer, A., Jana, S., Jabbour, L., Kallo, J., Latz, A., Lorrmann, H., Løvvik, O. M., Lyonnard, S., Meeus, M., Paillard, E., Perraud, S., Placke, T., Punckt, C., Raccurt, O., Ruhland, J., Sheridan, E., Stein, H., Tarascon, J., Trapp, V., Vegge, T., Weil, M., Wenzel, W., Winter, M., Wolf, A. & Edström, K., 2022, In: Advanced Energy Materials. 12, 17, 42 p., 2102785.
Research output: Contribution to journal › Review › peer-review

Open Access
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121 Downloads (Pure)
Artificial Intelligence Applied to Battery Research: Hype or Reality?
Lombardo, T., Duquesnoy, M., El-Bouysidy, H., Årén, F., Gallo-Bueno, A., Jørgensen, P. B., Bhowmik, A., Demortière, A., Ayerbe, E., Alcaide, F., Reynaud, M., Carrasco, J., Grimaud, A., Zhang, C., Vegge, T., Johansson, P. & Franco, A. A., 2022, In: Chemical Reviews. 122, p. 10899–10969 71 p.
Research output: Contribution to journal › Review › peer-review

Open Access
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Implications of the BATTERY 2030+ AI-Assisted Toolkit on Future Low-TRL Battery Discoveries and Chemistries
Bhowmik, A., Berecibar, M., Casas-Cabanas, M., Csanyi, G., Dominko, R., Hermansson, K., Palacin, M. R., Stein, H. S. & Vegge, T., 2022, In: Advanced Energy Materials. 12, 17, 20 p., 2102698.
Research output: Contribution to journal › Review › peer-review

Open Access
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74 Downloads (Pure)
Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?
Diddens, D., Appiah, W. A., Mabrouk, Y., Heuer, A., Vegge, T. & Bhowmik, A., 2022, In: Advanced Materials Interfaces. 9, 8, 24 p., 2101734.
Research output: Contribution to journal › Review › peer-review

Open Access
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277 Downloads (Pure)
Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective
Fichtner, M., Edström, K., Ayerbe, E., Berecibar, M., Bhowmik, A., Castelli, I. E., Clark, S., Dominko, R., Erakca, M., Franco, A. A., Grimaud, A., Horstmann, B., Latz, A., Lorrmann, H., Meeus, M., Narayan, R., Pammer, F., Ruhland, J., Stein, H. & Vegge, T. & 1 others, Weil, M., 2022, In: Advanced Energy Materials. 12, 17, 19 p., 2102904.
Research output: Contribution to journal › Review › peer-review

Open Access
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353 Downloads (Pure)
2016
Nanostructured materials for solid-state hydrogen storage: A review of the achievement of COST Action MP1103
Callini, E., Aguey-Zinsou, K.-F., Ahuja, R., Ares, J. R. A., Bals, S., Biliskov, N., Chakraborty, S., Charalambopoulou, G., Chaudhary, A.-L., Cuevas, F., Dam, B., Jongh, P. E. D., Dornheim, M., Filinchuk, Y., Novakovic, J. G., Hirscher, M., Jensen, T. R., Jensen, P. B., Novakovic, N. & Lai, Q. & 8 others, Leardini, F., Gattia, D. M., Pasquini, L., Steriotis, T., Turner, S., Vegge, T., Züttel, A. & Montone, A., 2016, In: International Journal of Hydrogen Energy. 41, 32, p. 14404-14428 25 p.
Research output: Contribution to journal › Review › peer-review

Tejs Vegge

Publications

Search results

Accelerated chemical science with AI

A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+

Artificial Intelligence Applied to Battery Research: Hype or Reality?

Implications of the BATTERY 2030+ AI-Assisted Toolkit on Future Low-TRL Battery Discoveries and Chemistries

Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?

Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

Nanostructured materials for solid-state hydrogen storage: A review of the achievement of COST Action MP1103