Movaffaq Kateb Kateshamshir
Forskare vid Institutionen för kemi - Ångström; Strukturkemi
- E-post:
- movaffaq.kateb@kemi.uu.se
- Besöksadress:
- Lägerhyddsvägen 1
- Postadress:
- Box 538
751 21 Uppsala
Nyckelord
- energy storage
- molecular dynamics
- energy conservation
- electrolytes
Publikationer
Senaste publikationer
-
Machine learning-driven predictive modeling of mechanical properties in diverse steels
Ingår i Machine Learning with Applications, 2025
- DOI för Machine learning-driven predictive modeling of mechanical properties in diverse steels
- Ladda ner fulltext (pdf) av Machine learning-driven predictive modeling of mechanical properties in diverse steels
-
Ingår i Machine Learning with Applications, 2025
- DOI för Machine learning-driven predictive modeling of temperature-dependent mechanical properties in austenitic stainless steels
- Ladda ner fulltext (pdf) av Machine learning-driven predictive modeling of temperature-dependent mechanical properties in austenitic stainless steels
Alla publikationer
Artiklar i tidskrift
-
Machine learning-driven predictive modeling of mechanical properties in diverse steels
Ingår i Machine Learning with Applications, 2025
- DOI för Machine learning-driven predictive modeling of mechanical properties in diverse steels
- Ladda ner fulltext (pdf) av Machine learning-driven predictive modeling of mechanical properties in diverse steels
-
Ingår i Machine Learning with Applications, 2025
- DOI för Machine learning-driven predictive modeling of temperature-dependent mechanical properties in austenitic stainless steels
- Ladda ner fulltext (pdf) av Machine learning-driven predictive modeling of temperature-dependent mechanical properties in austenitic stainless steels