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Journal Articles

High-bandwidth density silicon photonic resonators for energy-efficient optical interconnects

A. Novick, A. James, L. Y. Dai, Z. Wu, A. Rizzo, S. Wang, Y. Wang, M. Hattink, V. Gopal, K. Jang, R. Parsons, K. Bergman

Appl. Phys. Rev. 10, 041306 (2023)

https://doi.org/10.1063/5.0160441

Published: November 2023

View article titled, High-bandwidth density silicon photonic resonators for energy-efficient optical interconnects

Journal Articles

Dynamics of macrophage tumor infiltration

Kolade Adebowale, Jennifer L Guerriero, Samir Mitragotri

Appl. Phys. Rev. 10, 041402 (2023)

https://doi.org/10.1063/5.0160924

Published: October 2023

View article titled, Dynamics of macrophage tumor infiltration

Includes: Supplementary data

Journal Articles

Computational understanding and prediction of 8-electron half-Heusler compounds with unusual suppressed phonon conduction

Jianbo Zhu, Liangjun Xie, Zhuoyang Ti, Jingyu Li, Muchun Guo, Xuemei Zhang, Peng-Fei Liu, Lingling Tao, Zihang Liu, Yongsheng Zhang, Jiehe Sui

Appl. Phys. Rev. 10, 031405 (2023)

https://doi.org/10.1063/5.0136310

Published: July 2023

View article titled, Computational understanding and prediction of 8-electron half-Heusler compounds with unusual suppressed phonon conduction

Includes: Supplementary data

Journal Articles

Diverse 3D auxetic unit cell inverse design with deep learning

Xi Fang, Hui-Shen Shen, Hai Wang

Appl. Phys. Rev. 10, 031402 (2023)

https://doi.org/10.1063/5.0151936

Published: July 2023

View article titled, Diverse 3D auxetic unit cell inverse design with deep learning

Includes: Supplementary data

Journal Articles

Deep-learning-aided metasurface design for megapixel acoustic hologram

Xuan-Bo Miao, Hao-Wen Dong, Sheng-Dong Zhao, Shi-Wang Fan, Guoliang Huang, Chen Shen, Yue-Sheng Wang

Appl. Phys. Rev. 10, 021411 (2023)

https://doi.org/10.1063/5.0136802

Published: May 2023

View article titled, Deep-learning-aided metasurface design for megapixel acoustic hologram

Includes: Supplementary data

Journal Articles

Hashing for secure optical information compression in a heterogeneous convolutional neural network

Maria Solyanik-Gorgone, Haoyan Kang, Behrouz Movahhed Nouri, Hamed Dalir, Volker J. Sorger

Appl. Phys. Rev. 10, 021412 (2023)

https://doi.org/10.1063/5.0127492

Published: May 2023

View article titled, Hashing for secure optical information compression in a heterogeneous convolutional neural network

Journal Articles

Materials property prediction with uncertainty quantification: A benchmark study

Daniel Varivoda, Rongzhi Dong, Sadman Sadeed Omee, Jianjun Hu

Appl. Phys. Rev. 10, 021409 (2023)

https://doi.org/10.1063/5.0133528

Published: May 2023

View article titled, Materials property prediction with uncertainty quantification: A benchmark study

Includes: Supplementary data

Journal Articles

Differential design in homogenous sensors for classification and decoupling kinesthetic information through machine learning

Yuanzhi Zhou, Weiliang Xu, Yongsheng Ji, Guoyuan Zhou, Wenfeng Wu, Zibin Chen, Beibei Wang, Xuchun Gui, Xinming Li

Appl. Phys. Rev. 10, 021407 (2023)

https://doi.org/10.1063/5.0144956

Published: May 2023

View article titled, Differential design in homogenous sensors for classification and decoupling kinesthetic information through machine learning

Includes: Supplementary data

Journal Articles

Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment

Shirong Huang, Alexander Croy, Antonie Louise Bierling, Vyacheslav Khavrus, Luis Antonio Panes-Ruiz, Arezoo Dianat, Bergoi Ibarlucea, Gianaurelio Cuniberti

Appl. Phys. Rev. 10, 021406 (2023)

https://doi.org/10.1063/5.0132177

Published: May 2023

View article titled, Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment

Includes: Supplementary data

Journal Articles

ET-AL: Entropy-targeted active learning for bias mitigation in materials data

Zhang Hengrui (张恒睿), Chen Wei (Wayne) (陈伟), James M. Rondinelli, Wei Chen

Appl. Phys. Rev. 10, 021403 (2023)

https://doi.org/10.1063/5.0138913

Published: April 2023

View article titled, ET-AL: Entropy-targeted active learning for bias mitigation in materials data

Includes: Supplementary data

Journal Articles

From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron capabilities, and data-driven processing

Pedro I. C. Claro, Egon P. B. S. Borges, Gabriel R. Schleder, Nathaly L. Archilha, Allan Pinto, Murilo Carvalho, Carlos E. Driemeier, Adalberto Fazzio, Rubia F. Gouveia

Appl. Phys. Rev. 10, 021302 (2023)

https://doi.org/10.1063/5.0129324

Published: April 2023

View article titled, From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron capabilities, and data-driven processing

Journal Articles

Autonomous (AI-driven) materials science

Martin L. Green, Benji Maruyama, Joshua Schrier

Appl. Phys. Rev. 9, 030401 (2022)

https://doi.org/10.1063/5.0118872

Published: September 2022

View article titled, Autonomous (AI-driven) materials science

Journal Articles

On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning

Austin McDannald, Matthias Frontzek, Andrei T. Savici, Mathieu Doucet, Efrain E. Rodriguez, Kate Meuse, Jessica Opsahl-Ong, Daniel Samarov, Ichiro Takeuchi, William Ratcliff, A. Gilad Kusne

Appl. Phys. Rev. 9, 021408 (2022)

https://doi.org/10.1063/5.0082956

Published: April 2022

View article titled, On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning

Includes: Supplementary data

Journal Articles

Elucidating proximity magnetism through polarized neutron reflectometry and machine learning

Nina Andrejevic, Zhantao Chen, Thanh Nguyen, Leon Fan, Henry Heiberger, Ling-Jie Zhou, Yi-Fan Zhao, Cui-Zu Chang, Alexander Grutter, Mingda Li

Appl. Phys. Rev. 9, 011421 (2022)

https://doi.org/10.1063/5.0078814

Published: March 2022

View article titled, Elucidating proximity magnetism through polarized neutron reflectometry and machine learning

Includes: Supplementary data

Journal Articles

Harnessing disorder for photonic device applications

Hui Cao, Yaniv Eliezer

Appl. Phys. Rev. 9, 011309 (2022)

https://doi.org/10.1063/5.0076318

Published: February 2022

View article titled, Harnessing disorder for photonic device applications

Journal Articles

Toward autonomous materials research: Recent progress and future challenges

Joseph H. Montoya, Muratahan Aykol, Abraham Anapolsky, Chirranjeevi B. Gopal, Patrick K. Herring, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Daniel Schweigert, Shijing Sun, Santosh K. Suram, Steven B. Torrisi, Amalie Trewartha, Brian D. Storey

Appl. Phys. Rev. 9, 011405 (2022)

https://doi.org/10.1063/5.0076324

Published: January 2022

View article titled, Toward autonomous materials research: Recent progress and future challenges

Journal Articles

Discovering exceptionally hard and wear-resistant metallic glasses by combining machine-learning with high throughput experimentation

Suchismita Sarker, Robert Tang-Kong, Rachel Schoeppner, Logan Ward, Naila Al Hasan, Douglas G. Van Campen, Ichiro Takeuchi, Jason Hattrick-Simpers, Andriy Zakutayev, Corinne E. Packard, Apurva Mehta

Appl. Phys. Rev. 9, 011403 (2022)

https://doi.org/10.1063/5.0068207

Published: January 2022

View article titled, Discovering exceptionally hard and wear-resistant metallic glasses by combining machine-learning with high throughput experimentation

Includes: Supplementary data

Journal Articles

Machine learning framework for quantum sampling of highly constrained, continuous optimization problems

Blake A. Wilson, Zhaxylyk A. Kudyshev, Alexander V. Kildishev, Sabre Kais, Vladimir M. Shalaev, Alexandra Boltasseva

Appl. Phys. Rev. 8, 041418 (2021)

https://doi.org/10.1063/5.0060481

Published: December 2021

View article titled, Machine learning framework for quantum sampling of highly constrained, continuous optimization problems

Journal Articles

A deep learning augmented genetic algorithm approach to polycrystalline 2D material fracture discovery and design

Andrew J. Lew, Markus J. Buehler

Appl. Phys. Rev. 8, 041414 (2021)

https://doi.org/10.1063/5.0057162

Published: December 2021

View article titled, A deep learning augmented genetic algorithm approach to polycrystalline 2D material fracture discovery and design

Journal Articles

Constrained non-negative matrix factorization enabling real-time insights of in situ and high-throughput experiments

Phillip M. Maffettone, Aidan C. Daly, Daniel Olds

Appl. Phys. Rev. 8, 041410 (2021)

https://doi.org/10.1063/5.0052859

Published: November 2021

View article titled, Constrained non-negative matrix factorization enabling real-time insights of <em>in situ</em> and high-throughput experiments

Includes: Supplementary data

NARROW

Topics

High-bandwidth density silicon photonic resonators for energy-efficient optical interconnects

Dynamics of macrophage tumor infiltration

Computational understanding and prediction of 8-electron half-Heusler compounds with unusual suppressed phonon conduction

Diverse 3D auxetic unit cell inverse design with deep learning

Deep-learning-aided metasurface design for megapixel acoustic hologram

Hashing for secure optical information compression in a heterogeneous convolutional neural network

Materials property prediction with uncertainty quantification: A benchmark study

Differential design in homogenous sensors for classification and decoupling kinesthetic information through machine learning

Machine learning-enabled graphene-based electronic olfaction sensors and their olfactory performance assessment

ET-AL: Entropy-targeted active learning for bias mitigation in materials data

From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron capabilities, and data-driven processing

Autonomous (AI-driven) materials science

On-the-fly autonomous control of neutron diffraction via physics-informed Bayesian active learning

Elucidating proximity magnetism through polarized neutron reflectometry and machine learning

Harnessing disorder for photonic device applications

Toward autonomous materials research: Recent progress and future challenges

Discovering exceptionally hard and wear-resistant metallic glasses by combining machine-learning with high throughput experimentation

Machine learning framework for quantum sampling of highly constrained, continuous optimization problems

A deep learning augmented genetic algorithm approach to polycrystalline 2D material fracture discovery and design

Constrained non-negative matrix factorization enabling real-time insights of in situ and high-throughput experiments

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