BetaCitation Atlas

RESEARCH PAPER · Nature Reviews Materials · 2023

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, John Sheridan Fisher, James Kirkpatrick, Tonio Buonassisi

Read original paper ↗

See where this research leads.

136 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Knowledge-integrated machine learning for materials: lessons from gameplaying and roboticsOriginalDriving school for self-driving labs17Vision-driven Autocharacterization of Perovskite Semiconductors0Materials cartography: A forward-looking perspective on materials representation and devising better maps13Prediction of concrete compressive strength employing machine learning techniques19Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design372Leading Virtual Reality (VR) and Augmented Reality (AR) in Education: Bibliometric and Content Analysis From the Web of Science (2018–2022)137A Survey of Visual Affordance Recognition Based on Deep Learning20Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization11Machine Learning Across Metal and Carbon Support for the Screening of Efficient Atomic Catalysts Toward CO 2 Reduction45Multifunctional, flexible, and mechanically robust polyimide-MXene nanocomposites: a review17The ScholarNet and Artificial Intelligence (AI) Supervisor in Material Science Research15Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept3In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99Data driven design of compositionally complex energy materials13A New Approach Towards Deployment and Management of Machine Learning Models Using K-serve Platform for Building Robust Machine Learning Systems1MatGPT: A Vane of Materials Informatics from Past, Present, to Future74Machine learning-enabled constrained multi-objective design of architected materials172Can domain knowledge benefit machine learning for concrete property prediction?24Accelerating search for the polar phase stability of ferroelectric oxide by machine learning4Accelerating the Design of Multishell Upconverting Nanoparticles through Bayesian Optimization37Accelerated chemical science with AI86Machine learning quantification of grain characteristics for perovskite solar cells31Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin40High hardness and toughness potential TiN/TiSiN gradient nano-multilayer coating structure by finite element study22Artificial intelligence-powered electronic skin255Constructing custom thermodynamics using deep learning20Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug27A power generation accumulation-based adaptive chaotic differential evolution algorithm for wind turbine placement problems3Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects5Automated odor-blending with one-pot Bayesian optimization4Development and application of Few-shot learning methods in materials science under data scarcity47Digital cyber-physical system for designing and manufacturing of conical end mill4Engineering organic polymers as emerging sustainable materials for powerful electrocatalysts139Harnessing GPT-3.5 for text parsing in solid-state synthesis – case study of ternary chalcogenides26Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel42Knowledge graph representation of zeolitic crystalline materials17Optimal Leg Linkage Design for Horizontal Propel of a Walking Robot Using Non-Dominated Sorting Genetic Algorithm4Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept93The future of self-driving laboratories: from human in the loop interactive AI to gamification102Hacking decarbonization with a community-operated CreatorSpace8Transforming research laboratories with connected digital twins19Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte143Tailoring Classical Conditioning Behavior in TiO2 Nanowires: ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware62Designing workflows for materials characterization22Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics64Type-printable photodetector arrays for multichannel meta-infrared imaging2Advancing materials science through next-generation machine learning30Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries15Semantic integration of diverse data in materials science: Assessing Orowan strengthening14A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films8Impacto de la gamificación en el aprendizaje de estudiantes universitarios5A printing-inspired digital twin for the self-driving, high-throughput, closed-loop optimization of roll-to-roll printed photovoltaics14Generative learning facilitated discovery of high-entropy ceramic dielectrics for capacitive energy storage58Machine learning in proton exchange membrane water electrolysis — A knowledge-integrated framework57A new family of septuple-layer 2D materials of MoSi2N4-like crystals76Understanding the phytotoxic effects of organic contaminants on rice through predictive modeling with molecular descriptors: A data-driven analysis15Type-printable photodetector arrays for multichannel meta-infrared imaging46Let the two sides of the same coin meet—Environmental health and safety-oriented development of functional nanomaterials for environmental remediations28Harnessing the Missing Spectral Correlation for Metasurface Inverse Design28Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset24Structural Evolution of Millisecond Laser-Induced Metastable Crystalline GeTe0Accelerating electrocatalyst design for CO2 conversion through machine learning: Interpretable models and data-driven innovations21Review of progress in calculation and simulation of high-temperature oxidation181Navigating the innovation frontier: ambidextrous strategies, knowledge creation, and organizational agility in the pursuit of competitive excellence29Accelerating the Discovery of Efficient High-Entropy Alloy Electrocatalysts: High-Throughput Experimentation and Data-Driven Strategies67When Metal Nanoclusters Meet Smart Synthesis31From Sunlight to Solutions: Closing the Loop on Halide Perovskites3Machine Learning in 3D and 4D Printing of Polymer Composites: A Review48Engineering biotic-abiotic hybrid systems for solar-to-chemical conversion35AI-driven 3D bioprinting for regenerative medicine: From bench to bedside101Laser powder bed fusion of biodegradable magnesium alloys: process, microstructure and properties70Analysis of influencing factors on review efficiency of multidisciplinary scientific research projects using DEMATEL with a 5-point scale7ReLMM: Reinforcement Learning Optimizes Feature Selection in Modeling Materials4SGML: A Python library for solution-guided machine learning1AI4Materials: Transforming the landscape of materials science and enigneering25Archerfish: a retrofitted 3D printer for high-throughput combinatorial experimentation via continuous printing10Polymer gels for aqueous metal batteries22Computation-driven design: dielectric loss mechanism and performance optimization of epoxy/anhydride curing system0Finite element analysis, machine learning, and digital twins for soft robots: state-of-arts and perspectives41Enhancing Hand Movement Recognition: A Hybrid Fuzzy Deep Neural Network Approach with Time-Frequency EMG Representations3Toughening mechanism analysis of TiN/TiSiN coatings with modulation period gradient structure6Automated Discovery of Therapeutic Biomaterial for Renally Impaired Hyperuricemia Patients by Natural Language Processing and Machine Learning0High-entropy electromagnetic functional materials: From electromagnetic genes to materials design79AI-driven materials design: paradigm shift from small data to big data1A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials85Leveraging generative models with periodicity-aware, invertible and invariant representations for crystalline materials design21Empowering Generalist Material Intelligence with Large Language Models29AI foundational models in low-carbon energy and chemical engineering and the intelligent discovery platform for novel materials1Unlocking a self-driving research workflow for perovskite photovoltaics12Artificial Intelligence‐Driven Approaches in Semiconductor Research44SeFNet: Linking tabular datasets with semantic feature nets2Material intelligence by the convergence of artificial intelligence and robotic platforms16The analysis of deep reinforcement learning for dynamic graphical games under artificial intelligence2A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties5Deep Reinforcement Learning–Based Control Strategy for Electro-Hydrostatic Active Suspension3Detecting deformation mechanisms of metals from acoustic emission signals through knowledge-driven unsupervised learning16Gamification for digital preservation awareness: Encouraging public engagement with digital archives through game design1Advanced Design for High-Performance and AI Chips16Rational design of mechanical bio-metamaterials for biomedical applications19Advances in intelligent epitaxy of semiconductor materials1A State of the Art on Applications, Recent Challenges, and Future Trends of Artificial Intelligence0Uncovering battery electrochemical mechanisms by artificial intelligence22Emerging group-VA 2D materials: Antimonene and bismuthene for nanoelectronics and energy storage43Advanced Liquid Crystal Materials at Microwave and Millimeter‐Wave Frequencies: Design, Properties, and Applications12Signal-aware synthesis of tissue polarization uniformity from OCT images guided by an SNR-based heuristic2Multimodal Operando Characterization Platform for Monitoring Lithium-ion Battery Pouch-Cell6Aircraft Fault Knowledge Graph Construction Based on Large Language Model Incorporating Chinese Airworthiness Knowledge1Artificial intelligence transforming materials research: possible road ahead for India1Recent advances in graphene-based flexible tactile sensor2Machine learning in nanoscience and beyond: Workflows, data processing, XAI and ITAP metrics, language-based models5Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Design Principles for Non-Iridium-Based Oxygen Evolution Catalysts in Proton Exchange Membrane Water Electrolyzers13Backward Mapping from Device Targets to Chemical Genomes for Interpretable Discovery of Phase-Stable Lead-Free Double Perovskites with DFT-Validated Design Rules0Challenges and future scope in piezoelectric composite materials0Combinatorial to autonomous experimentation0Shifting the educational paradigm: Discovering concepts and connections0Small-data discovery of thermally robust Prussian blue analogues via objective-focused prioritisation0Intelligent diagnosis of hot-rolled strip steel convexity faults based on hierarchical attention cycle graph networks and causal inference0Towards a sustainable high-quality materials data ecosystem: frameworks and strategies6Machine Learning Assisted Development of COFs Materials as Solid Electrolytes for Lithium-Ion Batteries—A Mini Review3Out-of-distribution machine learning for materials discovery: Challenges and opportunities5Study on establishment of cardiovascular interventional disease database and prediction of postoperative mortality risk0Deep active learning and knowledge transfer for rapid discovery of lithium metal battery electrolytes11Multi-fidelity learning in materials informatics: methodologies, applications, and outlook2Autonomous closed-loop framework for reproducible perovskite solar cells22Machine Learning and Domain Adaptation for Material Generalization in Electrocatalyst Evaluation: A Comprehensive Review2Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring6Bioinspired triple-synergistic enhancement and machine learning optimization for ultra-strong polyvinyl alcohol hydrogels0Cross-material catalyst discovery via deep learning0Wired and Wireless Photosynthetic Biohybrids: Design, Materials, and Mechanisms3Intelligent Agent-Driven Design of Dynamically Reconstructed Metal-Organic Frameworks toward Industrial-Scale Anion-Exchange-Membrane Water Electrolysis1General applicability for developing interfacial regulation materials: An artificial-intelligence-driven approach based on non-covalent interactions0Nanoengineering of MXenes and their composites as electromagnetic interference shields0Data driven approach for topological data of polyelectrolytes assembly0Crystallochemical control of (001)-oriented α-FAPbI3 via 2D perovskite template toward stable optoelectronic synaptic memristors0Matching method to problem: Data-driven and knowledge-integrated machine learning for electrochemical energy devices0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

136 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. Driving school for self-driving labs

    Digital Discovery · 2023-01-01

    Kelsey L. Snapp, Keith A. Brown

    Read original paper ↗ ·

  2. Vision-driven Autocharacterization of Perovskite Semiconductors

    ChemRxiv · 2023-04-27

    Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi

    Read original paper ↗ ·

  3. Materials cartography: A forward-looking perspective on materials representation and devising better maps

    APL Machine Learning · 2023-06-01

    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 ↗ ·

  4. Prediction of concrete compressive strength employing machine learning techniques

    Materials Today Proceedings · 2023-06-01

    Keshav Malhotra, Dhaneshwar Mishra, Charanjeet Singh Tumrate

    Read original paper ↗ ·

  5. Deep Learning in Mechanical Metamaterials: From Prediction and Generation to Inverse Design

    Advanced Materials · 2023-06-18

    Xiaoyang Zheng, Xubo Zhang, Ta‐Te Chen, Ikumu Watanabe

    Read original paper ↗ ·

  6. Leading Virtual Reality (VR) and Augmented Reality (AR) in Education: Bibliometric and Content Analysis From the Web of Science (2018–2022)

    SAGE Open · 2023-07-01

    Xiaoli Zhao, Yu Ze Ren, Kenny Cheah Soon Lee

    Read original paper ↗ ·

  7. A Survey of Visual Affordance Recognition Based on Deep Learning

    IEEE Transactions on Big Data · 2023-07-03

    Dongpan Chen, Dehui Kong, Jinghua Li, Shaofan Wang, Baocai Yin

    Read original paper ↗ ·

  8. Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization

    Unknown journal · 2023-07-14

    Usman Ahmad Usmani, Mohammed Umar Usmani

    Read original paper ↗ ·

  9. Machine Learning Across Metal and Carbon Support for the Screening of Efficient Atomic Catalysts Toward CO 2 Reduction

    Advanced Energy Materials · 2023-07-26

    Mingzi Sun, Bolong Huang

    Read original paper ↗ ·

  10. Multifunctional, flexible, and mechanically robust polyimide-MXene nanocomposites: a review

    2D Materials · 2023-08-23

    Aysun Altan, Mina Namvari

    Read original paper ↗ ·

  11. The ScholarNet and Artificial Intelligence (AI) Supervisor in Material Science Research

    The Journal of Physical Chemistry Letters · 2023-08-31

    Yanheng Xu, Shuqian Ye, Xi Zhu

    Read original paper ↗ ·

  12. Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept

    ChemRxiv · 2023-09-07

    Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Sergei V. Kalinin, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik

    Read original paper ↗ ·

  13. In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science

    Journal of the American Chemical Society · 2023-09-27

    Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch

    Read original paper ↗ ·

  14. Data driven design of compositionally complex energy materials

    Computational Materials Science · 2023-09-30

    Lin Wang, Zhengda He, Bin Ouyang

    Read original paper ↗ ·

  15. 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) · 2023-10-06

    Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta, Charu Khosla, Pao‐Ann Hsiung

    Read original paper ↗ ·

  16. MatGPT: A Vane of Materials Informatics from Past, Present, to Future

    Advanced Materials · 2023-10-09

    Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li

    Read original paper ↗ ·

  17. Machine learning-enabled constrained multi-objective design of architected materials

    Nature Communications · 2023-10-19

    Bo Peng, Ye Wei, Yu Qin, Jiabao Dai, Yue Li, Aobo Liu, Yun Tian, Liuliu Han, Yufeng Zheng, Peng Wen

    Read original paper ↗ ·

  18. Can domain knowledge benefit machine learning for concrete property prediction?

    Journal of the American Ceramic Society · 2023-11-10

    Zhanzhao Li, Te Pei, Weichao Ying, Wil V. Srubar, Rui Zhang, Jinyoung Yoon, Hailong Ye, Ismaïla Dabo, Aleksandra Radlińska

    Read original paper ↗ ·

  19. Accelerating search for the polar phase stability of ferroelectric oxide by machine learning

    Materials & Design · 2023-11-25

    Md Mokhlesur Rahman, Shazia Janwari, Minsu Choi, Umesh Vasudeo Waghmare, Jaichan Lee

    Read original paper ↗ ·

  20. Accelerating the Design of Multishell Upconverting Nanoparticles through Bayesian Optimization

    Nano Letters · 2023-12-01

    Xiaojing Xia, Eric Sivonxay, Brett A. Helms, Samuel M. Blau, Emory M. Chan

    Read original paper ↗ ·

  21. Accelerated chemical science with AI

    Digital Discovery · 2023-12-06

    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 ↗ ·

  22. Machine learning quantification of grain characteristics for perovskite solar cells

    Matter · 2023-12-06

    Yalan Zhang, Yuanyuan Zhou

    Read original paper ↗ ·

  23. Guiding experiment with Machine Learning: A case study of biochar adsorption of Ciprofloxacin

    Separation and Purification Technology · 2023-12-14

    Siyuan Jiang, Yilong Hou, Zhihao Man, Ce Wang, Xiaoqi Shi, Jiangwei Shang, Xiuwen Cheng

    Read original paper ↗ ·

  24. High hardness and toughness potential TiN/TiSiN gradient nano-multilayer coating structure by finite element study

    Ceramics International · 2023-12-16

    Wei Liu, Qiang Shen, Mai Yang, Tenghua Gao, Baifeng Ji, Rong Tu, Song Zhang

    Read original paper ↗ ·

  25. Artificial intelligence-powered electronic skin

    Nature Machine Intelligence · 2023-12-18

    Changhao Xu, Samuel A. Solomon, Wei Feng Gao

    Read original paper ↗ ·

  26. Constructing custom thermodynamics using deep learning

    Nature Computational Science · 2023-12-29

    Xiaoli Chen, Beatrice W. Soh, Zi‐En Ooi, Eléonore Vissol-Gaudin, Haijun Yu, Kostya S. Novoselov, Kedar Hippalgaonkar, Qianxiao Li

    Read original paper ↗ ·

  27. Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug

    Drug Delivery and Translational Research · 2023-12-29

    Zeqing Bao, Fion Yung, Riley J. Hickman, Alán Aspuru‐Guzik, Pauric Bannigan, Christine J. Allen

    Read original paper ↗ ·

  28. A power generation accumulation-based adaptive chaotic differential evolution algorithm for wind turbine placement problems

    Electronic Research Archive · 2024-01-01

    Shi Wang, Sheng Li, Hang Yu

    Read original paper ↗ ·

  29. Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects

    IEEE Transactions on Instrumentation and Measurement · 2024-01-01

    Linan Deng, Jinghao Zhang, Zuogong Yue, Zhi Li, Ye Yuan, Han Ding

    Read original paper ↗ ·

  30. Automated odor-blending with one-pot Bayesian optimization

    Digital Discovery · 2024-01-01

    Yota Fukui, Kosuke Minami, Kota Shiba, Genki Yoshikawa, Koji Tsuda, Ryo Tamura

    Read original paper ↗ ·

  31. Development and application of Few-shot learning methods in materials science under data scarcity

    Journal of Materials Chemistry A · 2024-01-01

    Yongxing Chen, Long Peng, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji

    Read original paper ↗ ·

  32. Digital cyber-physical system for designing and manufacturing of conical end mill

    E3S Web of Conferences · 2024-01-01

    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 ↗ ·

  33. Engineering organic polymers as emerging sustainable materials for powerful electrocatalysts

    Chemical Society Reviews · 2024-01-01

    Xun Cui, Mingjie Wu, Xueqin Liu, Bing He, Yunhai Zhu, Yalong Jiang, Yingkui Yang

    Read original paper ↗ ·

  34. Harnessing GPT-3.5 for text parsing in solid-state synthesis – case study of ternary chalcogenides

    Digital Discovery · 2024-01-01

    Maung Thway, Andre K. Y. Low, Samyak Khetan, Haiwen Dai, Jose Recatala‐Gomez, Andy Paul Chen, Kedar Hippalgaonkar

    Read original paper ↗ ·

  35. Integrating machine learning for the optimization of polyacrylamide/alginate hydrogel

    Regenerative Biomaterials · 2024-01-01

    Shaohua Xu, Xun Chen, Si Wang, Zhiwei Chen, Penghui Pan, Qiaoling Huang

    Read original paper ↗ ·

  36. Knowledge graph representation of zeolitic crystalline materials

    Digital Discovery · 2024-01-01

    Aleksandar Kondinski, P. P. Rutkevych, Laura Pascazio, Dan N. Tran, Feroz Farazi, Srishti Ganguly, Markus Kraft

    Read original paper ↗ ·

  37. Optimal Leg Linkage Design for Horizontal Propel of a Walking Robot Using Non-Dominated Sorting Genetic Algorithm

    IEEE Access · 2024-01-01

    Batyrkhan Sultanovich Omarov, Sayat Ibrayev, Arman Ibrayeva, Bekzat Amanov, Zeinel Momynkulov

    Read original paper ↗ ·

  38. Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

    Digital Discovery · 2024-01-01

    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 ↗ ·

  39. The future of self-driving laboratories: from human in the loop interactive AI to gamification

    Digital Discovery · 2024-01-01

    Holland E. Hysmith, Elham Foadian, Shakti P. Padhy, Sergei V. Kalinin, R. G. Moore, Olga S. Ovchinnikova, Mahshid Ahmadi

    Read original paper ↗ ·

  40. Hacking decarbonization with a community-operated CreatorSpace

    Chem · 2024-01-26

    Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Andrew C. Breeson, Yong Ren Tan, Simon D. Rihm, Jiaru Bai, Markus Kraft

    Read original paper ↗ ·

  41. Transforming research laboratories with connected digital twins

    Nexus · 2024-02-05

    Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

    Read original paper ↗ ·

  42. Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte

    Advanced Energy Materials · 2024-02-14

    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 ↗ ·

  43. Tailoring Classical Conditioning Behavior in TiO2 Nanowires: ZnO QDs-Based Optoelectronic Memristors for Neuromorphic Hardware

    Nano-Micro Letters · 2024-02-27

    Wenxiao Wang, Yaqi Wang, Feifei Yin, Hongsen Niu, Young Kee Shin, Yang Li, Eun‐Seong Kim, Nam‐Young Kim

    Read original paper ↗ ·

  44. Designing workflows for materials characterization

    Applied Physics Reviews · 2024-03-01

    Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin M. Roccapriore, Yongtao Liu, Rama Krishnan Vasudevan

    Read original paper ↗ ·

  45. Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics

    Materials Genome Engineering Advances · 2024-03-01

    Ying Shang, Ziyu Xiong, Kang An, Jens Hauch, Christoph Josef Brabec, Ning Li

    Read original paper ↗ ·

  46. Type-printable photodetector arrays for multichannel meta-infrared imaging

    Research Square · 2024-03-18

    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 ↗ ·

  47. Advancing materials science through next-generation machine learning

    Current Opinion in Solid State and Materials Science · 2024-04-03

    Rohit Unni, Mingyuan Zhou, Peter R. Wiecha, Yuebing Zheng

    Read original paper ↗ ·

  48. Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries

    Applied Physics Reviews · 2024-04-12

    Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li

    Read original paper ↗ ·

  49. Semantic integration of diverse data in materials science: Assessing Orowan strengthening

    Scientific Data · 2024-04-30

    Bernd Bayerlein, Markus Schilling, Philipp v. Hartrott, Jörg Waitelonis

    Read original paper ↗ ·

  50. A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films

    Thin-Walled Structures · 2024-05-07

    Ruijin Wang, Tianquan Ying, Chen Yang, Fangyan Zhu, Jiantao Leng, Tienchong Chang, Tong‐Yi Zhang, Huajian Gao

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.