Papers citing Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Driving school for self-driving labs
Digital Discovery · 2023
Kelsey L. Snapp, Keith A. Brown
Read original paper ↗ ·Vision-driven Autocharacterization of Perovskite Semiconductors
ChemRxiv · 2023
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi
Read original paper ↗ ·Materials cartography: A forward-looking perspective on materials representation and devising better maps
APL Machine Learning · 2023
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Ashish Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin Paren, Brandon K. Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao‐Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun
Read original paper ↗ ·Prediction of concrete compressive strength employing machine learning techniques
Materials Today Proceedings · 2023
Keshav Malhotra, Dhaneshwar Mishra, Charanjeet Singh Tumrate
Read original paper ↗ ·Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design
Advanced Materials · 2023
Xiaoyang Zheng, Xubo Zhang, Ta‐Te Chen, Ikumu Watanabe
Read original paper ↗ ·Leading Virtual Reality (VR) and Augmented Reality (AR) in Education: Bibliometric and Content Analysis From the Web of Science (2018–2022)
SAGE Open · 2023
Xiaoli Zhao, Yu Ze Ren, Kenny Cheah Soon Lee
Read original paper ↗ ·A Survey of Visual Affordance Recognition Based on Deep Learning
IEEE Transactions on Big Data · 2023
Dongpan Chen, Dehui Kong, Jinghua Li, Shaofan Wang, Baocai Yin
Read original paper ↗ ·Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Venue not supplied by source · 2023
Usman Ahmad Usmani, Mohammed Umar Usmani
Read original paper ↗ ·Machine Learning Across Metal and Carbon Support for the Screening of Efficient Atomic Catalysts Toward CO 2 Reduction
Advanced Energy Materials · 2023
Mingzi Sun, Bolong Huang
Read original paper ↗ ·Multifunctional, flexible, and mechanically robust polyimide-MXene nanocomposites: a review
2D Materials · 2023
Aysun Altan, Mina Namvari
Read original paper ↗ ·The ScholarNet and Artificial Intelligence (AI) Supervisor in Material Science Research
The Journal of Physical Chemistry Letters · 2023
Yanheng Xu, Shuqian Ye, Xi Zhu
Read original paper ↗ ·Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept
ChemRxiv · 2023
Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Sergei V. Kalinin, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik
Read original paper ↗ ·In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Journal of the American Chemical Society · 2023
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch
Read original paper ↗ ·Data driven design of compositionally complex energy materials
Computational Materials Science · 2023
Lin Wang, Zhengda He, Bin Ouyang
Read original paper ↗ ·A New Approach Towards Deployment and Management of Machine Learning Models Using K-serve Platform for Building Robust Machine Learning Systems
IEEE Global Conference for Advancement in Technology (GCAT) · 2023
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, Charu Khosla, Pao‐Ann Hsiung
Read original paper ↗ ·MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Advanced Materials · 2023
Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li
Read original paper ↗ ·Machine learning-enabled constrained multi-objective design of architected materials
Nature Communications · 2023
Bo Peng, Ye Wei, Yu Qin, Jiabao Dai, Yue Li, Aobo Liu, Yun Tian, Liuliu Han, Yufeng Zheng, Peng Wen
Read original paper ↗ ·Can domain knowledge benefit machine learning for concrete property prediction?
Journal of the American Ceramic Society · 2023
Zhanzhao Li, Te Pei, Weichao Ying, Wil V. Srubar, Rui Zhang, Jinyoung Yoon, Hailong Ye, Ismaïla Dabo, Aleksandra Radlińska
Read original paper ↗ ·Accelerating search for the polar phase stability of ferroelectric oxide by machine learning
Materials & Design · 2023
Md Mokhlesur Rahman, Shazia Janwari, Minsu Choi, Umesh Vasudeo Waghmare, Jaichan Lee
Read original paper ↗ ·Accelerating the Design of Multishell Upconverting Nanoparticles through Bayesian Optimization
Nano Letters · 2023
Xiaojing Xia, Eric Sivonxay, Brett A. Helms, Samuel M. Blau, Emory M. Chan
Read original paper ↗ ·Accelerated chemical science with AI
Digital Discovery · 2023
Seoin Back, Alán Aspuru‐Guzik, Michele Ceriotti, Ganna Gryn’ova, Bartosz A. Grzybowski, Geun Ho Gu, Jason E. Hein, Kedar Hippalgaonkar, Rodrigo Hormázabal, Yousung Jung, Seonah Kim, Woo Youn Kim, Seyed Mohamad Moosavi, Juhwan Noh, Chang-Young Park, Joshua Schrier, Philippe Schwaller, Koji Tsuda, Tejs Vegge, O. Anatole von Lilienfeld, Aron Walsh
Read original paper ↗ ·Machine learning quantification of grain characteristics for perovskite solar cells
Matter · 2023
Yalan Zhang, Yuanyuan Zhou
Read original paper ↗ ·Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin
Separation and Purification Technology · 2023
Siyuan Jiang, Yilong Hou, Zhihao Man, Ce Wang, Xiaoqi Shi, Jiangwei Shang, Xiuwen Cheng
Read original paper ↗ ·High hardness and toughness potential TiN/TiSiN gradient nano-multilayer coating structure by finite element study
Ceramics International · 2023
Wei Liu, Qiang Shen, Mai Yang, Tenghua Gao, Baifeng Ji, Rong Tu, Song Zhang
Read original paper ↗ ·Artificial intelligence-powered electronic skin
Nature Machine Intelligence · 2023
Changhao Xu, Samuel A. Solomon, Wei Feng Gao
Read original paper ↗ ·Constructing custom thermodynamics using deep learning
Nature Computational Science · 2023
Xiaoli Chen, Beatrice W. Soh, Zi‐En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li
Read original paper ↗ ·Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug
Drug Delivery and Translational Research · 2023
Zeqing Bao, Fion Yung, Riley J. Hickman, Alán Aspuru‐Guzik, Pauric Bannigan, Christine J. Allen
Read original paper ↗ ·A power generation accumulation-based adaptive chaotic differential evolution algorithm for wind turbine placement problems
Electronic Research Archive · 2024
Shi Wang, Sheng Li, Hang Yu
Read original paper ↗ ·Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects
IEEE Transactions on Instrumentation and Measurement · 2024
Linan Deng, Jinghao Zhang, Zuogong Yue, Zhi Li, Ye Yuan, Han Ding
Read original paper ↗ ·Automated odor-blending with one-pot Bayesian optimization
Digital Discovery · 2024
Yota Fukui, Kosuke Minami, Kota Shiba, Genki Yoshikawa, Koji Tsuda, Ryo Tamura
Read original paper ↗ ·Development and application of Few-shot learning methods in materials science under data scarcity
Journal of Materials Chemistry A · 2024
Yongxing Chen, Long Peng, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji
Read original paper ↗ ·Digital cyber-physical system for designing and manufacturing of conical end mill
E3S Web of Conferences · 2024
Пивкин Петр Михайлович, Екатерина Сергеевна Назаренко, Vladimir A. Grechishnikov, Vladimir A. Kuznetsov, Lyudmila A. Uvarova, Artem A. Ershov, Anton M. Yazev, Alexey B. Nadykto
Read original paper ↗ ·Engineering organic polymers as emerging sustainable materials for powerful electrocatalysts
Chemical Society Reviews · 2024
Xun Cui, Mingjie Wu, Xueqin Liu, Bing He, Yunhai Zhu, Yalong Jiang, Yingkui Yang
Read original paper ↗ ·Harnessing GPT-3.5 for text parsing in solid-state synthesis – case study of ternary chalcogenides
Digital Discovery · 2024
Maung Thway, Andre K. Y. Low, Samyak Khetan, Haiwen Dai, Jose Recatala‐Gomez, Andy Paul Chen, Kedar Hippalgaonkar
Read original paper ↗ ·Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel
Regenerative Biomaterials · 2024
Shaohua Xu, Xun Chen, Si Wang, Zhiwei Chen, Penghui Pan, Qiaoling Huang
Read original paper ↗ ·Knowledge graph representation of zeolitic crystalline materials
Digital Discovery · 2024
Aleksandar Kondinski, P. P. Rutkevych, Laura Pascazio, Dan N. Tran, Feroz Farazi, Srishti Ganguly, Markus Kraft
Read original paper ↗ ·Optimal Leg Linkage Design for Horizontal Propel of a Walking Robot Using Non-Dominated Sorting Genetic Algorithm
IEEE Access · 2024
Batyrkhan Sultanovich Omarov, Sayat Ibrayev, Arman Ibrayeva, Bekzat Amanov, Zeinel Momynkulov
Read original paper ↗ ·Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept
Digital Discovery · 2024
Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Nessa Carson, Ian T Foster, Andrés Aguilar‐Granda, Sergei V. Kalinin, Benji Maruyama, Maria Politi, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik
Read original paper ↗ ·The future of self-driving laboratories: from human in the loop interactive AI to gamification
Digital Discovery · 2024
Holland E. Hysmith, Elham Foadian, Shakti P. Padhy, Sergei V. Kalinin, R. G. Moore, Olga S. Ovchinnikova, Mahshid Ahmadi
Read original paper ↗ ·Hacking decarbonization with a community-operated CreatorSpace
Chem · 2024
Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Andrew C. Breeson, Yong Ren Tan, Simon D. Rihm, Jiaru Bai, Markus Kraft
Read original paper ↗ ·Transforming research laboratories with connected digital twins
Nexus · 2024
Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
Read original paper ↗ ·Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Advanced Energy Materials · 2024
Jin Li, Meisa Zhou, Hong‐Hui Wu, Lifei Wang, Jian Zhang, Naiteng Wu, Kunming Pan, Guilong Liu, Yinggan Zhang, Jiajia Han, Xianming Liu, Xiang Chen, Jiayu Wan, Qiaobao Zhang
Read original paper ↗ ·Tailoring Classical Conditioning Behavior in TiO2 Nanowires: ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware
Nano-Micro Letters · 2024
Wenxiao Wang, Yaqi Wang, Feifei Yin, Hongsen Niu, Young Kee Shin, Yang Li, Eun‐Seong Kim, Nam‐Young Kim
Read original paper ↗ ·Designing workflows for materials characterization
Applied Physics Reviews · 2024
Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin M. Roccapriore, Yongtao Liu, Rama Krishnan Vasudevan
Read original paper ↗ ·Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics
Materials Genome Engineering Advances · 2024
Ying Shang, Ziyu Xiong, Kang An, Jens Hauch, Christoph Josef Brabec, Ning Li
Read original paper ↗ ·Type-printable photodetector arrays for multichannel meta-infrared imaging
Research Square · 2024
Junxiong Guo, Shuyi Gu, Lin Lin, Yu Liu, Ji Cai, Hongyi Cai, Yu Peng Tian, Yuelin Zhang, Qinghua Zhang, Ze Liu, Yafei Zhang, Xiaosheng Zhang, Yuan Lin, Wen Huang, Lin Gu, Jinxing Zhang
Read original paper ↗ ·Advancing materials science through next-generation machine learning
Current Opinion in Solid State and Materials Science · 2024
Rohit Unni, Mingyuan Zhou, Peter R. Wiecha, Yuebing Zheng
Read original paper ↗ ·Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries
Applied Physics Reviews · 2024
Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li
Read original paper ↗ ·Semantic integration of diverse data in materials science: Assessing Orowan strengthening
Scientific Data · 2024
Bernd Bayerlein, Markus Schilling, Philipp v. Hartrott, Jörg Waitelonis
Read original paper ↗ ·A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films
Thin-Walled Structures · 2024
Ruijin Wang, Tianquan Ying, Chen Yang, Fangyan Zhu, Jiantao Leng, Tienchong Chang, Tong‐Yi Zhang, Huajian Gao
Read original paper ↗ ·