%0 Journal Article %1 Mondal2023 %A Mondal, Badal %A Westermayr, Julia %A Tonner-Zech, Ralf %D 2023 %I AIP Publishing %J The Journal of Chemical Physics %K Crystal_lattices Density_functional_theory First-principle_calculations Machine_learning Optoelectronic_application Optoelectronic_devices Regression_analysis Semiconductors Support_vector_machine yaff %N 10 %R 10.1063/5.0159604 %T Machine learning for accelerated bandgap prediction in strain-engineered quaternary III–V semiconductors %U http://dx.doi.org/10.1063/5.0159604 %V 159

@article{Mondal2023, added-at = {2024-12-11T13:55:00.000+0100}, author = {Mondal, Badal and Westermayr, Julia and Tonner-Zech, Ralf}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/234bb9158466885b3b6bae567ff588d3b/scadsfct}, doi = {10.1063/5.0159604}, interhash = {e1ec1c4ebe4700d484c960de588cd1a4}, intrahash = {34bb9158466885b3b6bae567ff588d3b}, issn = {1089-7690}, journal = {The Journal of Chemical Physics}, keywords = {Crystal_lattices Density_functional_theory First-principle_calculations Machine_learning Optoelectronic_application Optoelectronic_devices Regression_analysis Semiconductors Support_vector_machine yaff}, month = sep, number = 10, publisher = {AIP Publishing}, timestamp = {2025-02-20T16:00:23.000+0100}, title = {Machine learning for accelerated bandgap prediction in strain-engineered quaternary III–V semiconductors}, url = {http://dx.doi.org/10.1063/5.0159604}, volume = 159, year = 2023 }