Performance Prediction of High‐Entropy Perovskites La 0.8 Sr 0.2 Mn x Co y Fe z O 3 with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning

Carlota Bozal‐Ginesta, Juande Sirvent, Giulio Cordaro, Sarah Fearn, Sergio Pablo‐García, Francesco Chiabrera, Changhyeok Choi, Lisa Laa, Marc Núñez, Andrea Cavallaro, Fjorelo Buzi, Ainara Aguadero, Guilhem Dezanneau, John Kilner, Alex Morata, Federico Baiutti, Alán Aspuru‐Guzik, Albert Tarancón

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DOI: 10.1002/adma.202407372
Published: 2024-11-05
Container: Advanced Materials
Publisher: Wiley
Open access: unknown

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BibTeX

@article{allodium:10.1002/adma.202407372,
  title = {Performance Prediction of High‐Entropy Perovskites La
                    <sub>0.8</sub>
                    Sr
                    <sub>0.2</sub>
                    Mn
                    <sub>x</sub>
                    Co
                    <sub>y</sub>
                    Fe
                    <sub>z</sub>
                    O
                    <sub>3</sub>
                    with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning},
  author = {Carlota Bozal‐Ginesta and Juande Sirvent and Giulio Cordaro and Sarah Fearn and Sergio Pablo‐García and Francesco Chiabrera and Changhyeok Choi and Lisa Laa and Marc Núñez and Andrea Cavallaro and Fjorelo Buzi and Ainara Aguadero and Guilhem Dezanneau and John Kilner and Alex Morata and Federico Baiutti and Alán Aspuru‐Guzik and Albert Tarancón},
  year = {2024},
  journal = {Advanced Materials},
  doi = {10.1002/adma.202407372},
  url = {https://doi.org/10.1002/adma.202407372}
}

RIS

TY  - JOUR
TI  - Performance Prediction of High‐Entropy Perovskites La
                    <sub>0.8</sub>
                    Sr
                    <sub>0.2</sub>
                    Mn
                    <sub>x</sub>
                    Co
                    <sub>y</sub>
                    Fe
                    <sub>z</sub>
                    O
                    <sub>3</sub>
                    with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning
AU  - Carlota Bozal‐Ginesta
AU  - Juande Sirvent
AU  - Giulio Cordaro
AU  - Sarah Fearn
AU  - Sergio Pablo‐García
AU  - Francesco Chiabrera
AU  - Changhyeok Choi
AU  - Lisa Laa
AU  - Marc Núñez
AU  - Andrea Cavallaro
AU  - Fjorelo Buzi
AU  - Ainara Aguadero
AU  - Guilhem Dezanneau
AU  - John Kilner
AU  - Alex Morata
AU  - Federico Baiutti
AU  - Alán Aspuru‐Guzik
AU  - Albert Tarancón
PY  - 2024
JO  - Advanced Materials
DO  - 10.1002/adma.202407372
UR  - https://doi.org/10.1002/adma.202407372
ER  -

APA

Bozal‐Ginesta, C., Sirvent, J., Cordaro, G., Fearn, S., Pablo‐García, S., Chiabrera, F., Choi, C., Laa, L., Núñez, M., Cavallaro, A., Buzi, F., Aguadero, A., Dezanneau, G., Kilner, J., Morata, A., Baiutti, F., Aspuru‐Guzik, A., & Tarancón, A. (2024). Performance Prediction of High‐Entropy Perovskites La 0.8 Sr 0.2 Mn x Co y Fe z O 3 with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning. Advanced Materials. https://doi.org/10.1002/adma.202407372

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crossref · retrieved 2026-09-26T17:40:58.781Z

Performance Prediction of High‐Entropy Perovskites La <sub>0.8</sub> Sr <sub>0.2</sub> Mn <sub>x</sub> Co <sub>y</sub> Fe <sub>z</sub> O <sub>3</sub> with Automated High‐Throughput Characterization of Combinatorial Libraries and Machine Learning

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