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Calibration in machine learning uncertainty quantification: Beyond consistency to target adaptivity

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Pascal Pernot

https://doi.org/10.1063/5.0174943 Actions

Machine learning depinning of dislocation pileups

JOURNAL ARTICLE published 1 October 2020 in APL Materials

Research funded by Academy of Finland (322405)

Authors: Mika Sarvilahti | Audun Skaugen | Lasse Laurson

https://doi.org/10.1063/5.0020376 Actions

Editorial: Welcome to APL Machine Learning

JOURNAL ARTICLE published 1 March 2023 in APL Machine Learning

Authors: Adnan Mehonic

https://doi.org/10.1063/5.0143646 Actions

Specific loss power of magnetic nanoparticles: A machine learning approach

JOURNAL ARTICLE published 1 August 2022 in APL Materials

Authors: Marco Coïsson | Gabriele Barrera | Federica Celegato | Paolo Allia | Paola Tiberto

https://doi.org/10.1063/5.0099498 Actions

Nonlinear optical feature generator for machine learning

JOURNAL ARTICLE published 1 October 2023 in APL Photonics

Research funded by Horizon 2020 Framework Program (714837) | Swiss National Science Foundation (179099) | Swiss National Science Foundation - Sinergia (216600)

Authors: Mustafa Yildirim | Ilker Oguz | Fabian Kaufmann | Marc Reig Escalé | Rachel Grange | Demetri Psaltis | Christophe Moser

https://doi.org/10.1063/5.0158611 Actions

Scanning probe microscopy in the age of machine learning

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Md Ashiqur Rahman Laskar | Umberto Celano

https://doi.org/10.1063/5.0160568 Actions

Unsupervised machine learning to analyze corneal tissue surfaces

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Carolin A. Rickert | Fabio Henkel | Oliver Lieleg

https://doi.org/10.1063/5.0159502 Actions

Advancing magnetic material discovery through machine learning: Unveiling new manganese-based materials

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Yogesh Khatri | Arti Kashyap

https://doi.org/10.1063/5.0171320 Actions

A machine learning framework for elastic constants predictions in multi-principal element alloys

JOURNAL ARTICLE published 1 March 2023 in APL Machine Learning

Authors: Nathan Linton | Dilpuneet S. Aidhy

https://doi.org/10.1063/5.0129928 Actions

Machine learning-based inverse design for single-phase high entropy alloys

JOURNAL ARTICLE published 1 October 2022 in APL Materials

Authors: Yingzhi Zeng | Mengren Man | Chee Koon Ng | Delvin Wuu | Jing Jun Lee | Fengxia Wei | Pei Wang | Kewu Bai | Dennis Cheng Cheh Tan | Yong-Wei Zhang

https://doi.org/10.1063/5.0109491 Actions

Machine learning assisted interpretation of creep and fatigue life in titanium alloys

JOURNAL ARTICLE published 1 March 2023 in APL Machine Learning

Research funded by Aeronautics Research and Development Board (ARDB/GTMAP/01/2031993/M/I)

Authors: Sucheta Swetlana | Ashish Rout | Abhishek Kumar Singh

https://doi.org/10.1063/5.0129037 Actions

Tutorials at APL Machine Learning: To share, to envision, and to help others learn

JOURNAL ARTICLE published 1 September 2023 in APL Machine Learning

Authors: Shijing Sun

https://doi.org/10.1063/5.0175787 Actions

A machine learning-based prediction of crystal orientations for multicrystalline materials

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Research funded by Core Research for Evolutional Science and Technology (JPMJCR17J1)

Authors: Kyoka Hara | Takuto Kojima | Kentaro Kutsukake | Hiroaki Kudo | Noritaka Usami

https://doi.org/10.1063/5.0138099 Actions

KoopmanLab: Machine learning for solving complex physics equations

JOURNAL ARTICLE published 1 September 2023 in APL Machine Learning

Research funded by The Artificial and General Intelligence Research Program of Guo Qiang Research Institute at Tsinghua University (2020GQG1017) | The Huawei Innovation Research Program (TC20221109044) | The National Natural Science Foundation of China (42125503) | National Key Research and Development Program of China (2022YFE0195900,2021YFC3101600,2020YFA0608000,2020YFA0607900)

Authors: Wei Xiong | Muyuan Ma | Xiaomeng Huang | Ziyang Zhang | Pei Sun | Yang Tian

https://doi.org/10.1063/5.0157763 Actions

Machine learning guided optimal composition selection of niobium alloys for high temperature applications

JOURNAL ARTICLE published 1 September 2023 in APL Machine Learning

Research funded by Advanced Research Projects Agency - Energy (DE-AR0001426)

Authors: Trupti Mohanty | K. S. Ravi Chandran | Taylor D. Sparks

https://doi.org/10.1063/5.0129528 Actions

Machine-learning-assisted thin-film growth: Bayesian optimization in molecular beam epitaxy of SrRuO3 thin films

JOURNAL ARTICLE published 1 October 2019 in APL Materials

Authors: Yuki K. Wakabayashi | Takuma Otsuka | Yoshiharu Krockenberger | Hiroshi Sawada | Yoshitaka Taniyasu | Hideki Yamamoto

https://doi.org/10.1063/1.5123019 Actions

Bring memristive in-memory computing into general-purpose machine learning: A perspective

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Research funded by STI 2030—Major Projects (2021ZD0201201) | National Key Research and Development Program of China (2019YFB2205100,2022YFB4500101) | National Natural Science Foundation of China (92064012)

Authors: Houji Zhou | Jia Chen | Jiancong Li | Ling Yang | Yi Li | Xiangshui Miao

https://doi.org/10.1063/5.0167743 Actions

Glass transition of amorphous polymeric materials informed by machine learning

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Research funded by Key Program for International S&T Cooperation Projects of China (2019YFE0124300) | National Science Fund for Excellent Young Scholars (52122311) | Major Program of the National Nature Science Foundation of China (51790502) | National Natural Science Foundation of China (51873006,21674010,51333004) | Beijing Municipal Natural Science Foundation (2182053) | Fok Ying-Tong Education Foundation of China (171040)

Authors: Anwen Hu | Yongdi Huang | Qionghai Chen | Wanhui Huang | Xiaohui Wu | Lihong Cui | Yining Dong | Jun Liu

https://doi.org/10.1063/5.0137357 Actions

Experimental realization of a quantum classification: Bell state measurement via machine learning

JOURNAL ARTICLE published 1 September 2023 in APL Machine Learning

Authors: Qing-Yuan Wu | Zhe Meng | Xiao-Xiao Chen | Jian Li | Jia-Zhi Yang | An-Ning Zhang

https://doi.org/10.1063/5.0149414 Actions

Unsupervised machine learning discovery of structural units and transformation pathways from imaging data

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Research funded by U.S. Department of Energy (34532,DE-SC0021118)

Authors: Sergei V. Kalinin | Ondrej Dyck | Ayana Ghosh | Yongtao Liu | Bobby G. Sumpter | Maxim Ziatdinov

https://doi.org/10.1063/5.0147316 Actions
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