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Journal Articles

Scalable learning of potentials to predict time-dependent Hartree–Fock dynamics

Editor’s Pick
Harish S. Bhat, Prachi Gupta, Christine M. Isborn
Journal: APL Machine Learning
APL Mach. Learn. 2, 046112 (2024)
https://doi.org/10.1063/5.0232683
Published: December 2024
View article titled, Scalable learning of potentials to predict time-dependent Hartree–Fock dynamics
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Journal Articles

Applications of machine learning to high temperature and high pressure environments: A literature review

Hengkai Wang, Zengtao Lv, Santosh Kumar, Qinglin Wang
Journal: APL Machine Learning
APL Mach. Learn. 2, 046111 (2024)
https://doi.org/10.1063/5.0233409
Published: November 2024
View article titled, Applications of machine learning to high temperature and high pressure environments: A literature review
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Journal Articles

Field-free spin–orbit torque devices for logic and neural network applications

Chun-Yi Lin, Jui-Yu Hsieh, Po-Chuan Wang, Chia-Chin Tsai, Chi-Feng Pai
Journal: APL Machine Learning
APL Mach. Learn. 2, 046110 (2024)
https://doi.org/10.1063/5.0226135
Published: November 2024
View article titled, Field-free spin–orbit torque devices for logic and neural network applications
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Journal Articles

A high-throughput and data-driven computational framework for novel quantum materials

Featured
Srihari M. Kastuar, Christopher Rzepa, Srinivas Rangarajan, Chinedu E. Ekuma
Journal: APL Machine Learning
APL Mach. Learn. 2, 046108 (2024)
https://doi.org/10.1063/5.0221823
Published: November 2024
View article titled, A high-throughput and data-driven computational framework for novel quantum materials
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Journal Articles

In silico design and prediction of metastable quaternary phases in Cu–Ni–Si–Cr alloys

Ángel Díaz Carral, Simon Gravelle, Maria Fyta
Journal: APL Machine Learning
APL Mach. Learn. 2, 046109 (2024)
https://doi.org/10.1063/5.0228936
Published: November 2024
View article titled, <em>In silico</em> design and prediction of metastable quaternary phases in Cu–Ni–Si–Cr alloys
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Journal Articles

PICL: Physics informed contrastive learning for partial differential equations

Cooper Lorsung, Amir Barati Farimani
Journal: APL Machine Learning
APL Mach. Learn. 2, 046107 (2024)
https://doi.org/10.1063/5.0223651
Published: November 2024
View article titled, PICL: Physics informed contrastive learning for partial differential equations
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Journal Articles

Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT

Hossein Mirzaee, Ramin Soltanmohammadi, Nathan Linton, Jacob Fischer, Serveh Kamrava, Pejman Tahmasebi, Dilpuneet Aidhy
Journal: APL Machine Learning
APL Mach. Learn. 2, 046104 (2024)
https://doi.org/10.1063/5.0229105
Published: October 2024
View article titled, Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT
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Journal Articles

PhysBERT: A text embedding model for physics scientific literature

Thorsten Hellert, João Montenegro, Andrea Pollastro
Journal: APL Machine Learning
APL Mach. Learn. 2, 046105 (2024)
https://doi.org/10.1063/5.0238090
Published: October 2024
View article titled, PhysBERT: A text embedding model for physics scientific literature
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Journal Articles

Machine learning assisted search for Fe–Co–C ternary compounds with high magnetic anisotropy

Weiyi Xia, Masahiro Sakurai, Timothy Liao, Renhai Wang, Chao Zhang, Huaijun Sun, Kai-Ming Ho, James R. Chelikowsky, Cai-Zhuang Wang
Journal: APL Machine Learning
APL Mach. Learn. 2, 046103 (2024)
https://doi.org/10.1063/5.0208761
Published: October 2024
View article titled, Machine learning assisted search for Fe–Co–C ternary compounds with high magnetic anisotropy
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Journal Articles

Enhancing high-fidelity neural network potentials through low-fidelity sampling

Gang Seob Jung
Journal: APL Machine Learning
APL Mach. Learn. 2, 046102 (2024)
https://doi.org/10.1063/5.0222779
Published: October 2024
View article titled, Enhancing high-fidelity neural network potentials through low-fidelity sampling
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Journal Articles

Machine-learning-derived thermal conductivity of two-dimensional TiS2/MoS2 van der Waals heterostructures

Featured
A. K. Nair, C. M. Da Silva, C. H. Amon
Journal: APL Machine Learning
APL Mach. Learn. 2, 036115 (2024)
https://doi.org/10.1063/5.0205702
Published: September 2024
View article titled, Machine-learning-derived thermal conductivity of two-dimensional TiS<sub>2</sub>/MoS<sub>2</sub> van der Waals heterostructures
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Journal Articles

Dual-modality ghost diffraction in a complex disordered environment using untrained neural networks

Yang Peng, Wen Chen
Journal: APL Machine Learning
APL Mach. Learn. 2, 036114 (2024)
https://doi.org/10.1063/5.0222851
Published: September 2024
View article titled, Dual-modality ghost diffraction in a complex disordered environment using untrained neural networks
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Journal Articles

Dreaming of electrical waves: Generative modeling of cardiac excitation waves using diffusion models

Tanish Baranwal, Jan Lebert, Jan Christoph
Journal: APL Machine Learning
APL Mach. Learn. 2, 036113 (2024)
https://doi.org/10.1063/5.0194391
Published: September 2024
View article titled, Dreaming of electrical waves: Generative modeling of cardiac excitation waves using diffusion models
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Journal Articles

Ionic species representations for materials informatics

Featured
Anthony Onwuli, Keith T. Butler, Aron Walsh
Journal: APL Machine Learning
APL Mach. Learn. 2, 036112 (2024)
https://doi.org/10.1063/5.0227009
Published: September 2024
View article titled, Ionic species representations for materials informatics
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Journal Articles

A machine learning framework for quantum cascade laser design

Andres Correa Hernandez, Claire F. Gmachl
Journal: APL Machine Learning
APL Mach. Learn. 2, 036111 (2024)
https://doi.org/10.1063/5.0222812
Published: September 2024
View article titled, A machine learning framework for quantum cascade laser design
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Journal Articles

3D–2D neural nets for phase retrieval in noisy interferometric imaging

Andrew H. Proppe, Guillaume Thekkadath, Duncan England, Philip J. Bustard, Frédéric Bouchard, Jeff S. Lundeen, Benjamin J. Sussman
Journal: APL Machine Learning
APL Mach. Learn. 2, 036110 (2024)
https://doi.org/10.1063/5.0204212
Published: September 2024
View article titled, 3D–2D neural nets for phase retrieval in noisy interferometric imaging
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Journal Articles

Accelerating simulations of strained-film growth by deep learning: Finite element method accuracy over long time scales

Daniele Lanzoni, Fabrizio Rovaris, Luis Martín-Encinar, Andrea Fantasia, Roberto Bergamaschini, Francesco Montalenti
Journal: APL Machine Learning
APL Mach. Learn. 2, 036108 (2024)
https://doi.org/10.1063/5.0221363
Published: August 2024
View article titled, Accelerating simulations of strained-film growth by deep learning: Finite element method accuracy over long time scales
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Journal Articles

Sim2Real in reconstructive spectroscopy: Deep learning with augmented device-informed data simulation

Jiyi Chen, Pengyu Li, Yutong Wang, Pei-Cheng Ku, Qing Qu
Journal: APL Machine Learning
APL Mach. Learn. 2, 036106 (2024)
https://doi.org/10.1063/5.0209339
Published: August 2024
View article titled, <em>Sim2Real</em> in reconstructive spectroscopy: Deep learning with augmented device-informed data simulation
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Journal Articles

Deep-learning design of electronic metasurfaces in graphene for quantum control and Dirac electron holography

Chen-Di Han, Li-Li Ye, Zin Lin, Vassilios Kovanis, Ying-Cheng Lai
Journal: APL Machine Learning
APL Mach. Learn. 2, 036105 (2024)
https://doi.org/10.1063/5.0216271
Published: August 2024
View article titled, Deep-learning design of electronic metasurfaces in graphene for quantum control and Dirac electron holography
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Journal Articles

Webinar Recap: Fostering a New Data Culture with APL Machine Learning

Jason Eshraghian, Jennifer Ding, Jennifer Muilenburg, Adnan Mehonic
Journal: APL Machine Learning
APL Mach. Learn. 2, 030401 (2024)
https://doi.org/10.1063/5.0230221
Published: August 2024
View article titled, Webinar Recap: Fostering a New Data Culture with <em>APL Machine Learning</em>
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