BetaCitation Atlas

RESEARCH PAPER · InfoMat · 2023

Methods, progresses, and opportunities of materials informatics

Chen Li, Kun Zheng

Read original paper ↗

See where this research leads.

72 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

Methods, progresses, and opportunities of materials informaticsOriginalInference Without Ground Truth: A Conceptual Theory of Validation in Materials AI0Advances in materials informatics for tailoring thermal radiation: A perspective review2Prediction of Photochromism of Salicylideneaniline Crystals Using a Data Mining Approach9Machine learning aided design of Bi2WO6/MIL-53(Al) nanocomposites11A Conceptual Framework for Trustworthy AI Decisions Across the Materials Design Lifecycle1ConvFeatNet ensemble: Integrating microstructure and pre-defined features for enhanced prediction of porous material properties3Discovery Recommendation Systems: Reframing Materials Selection Algorithms0https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties7Knowledge Graphs vs Property Predictors: Competing Infrastructures of Materials Intelligence0Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension20Single-actuated and fully recyclable phase change materials enabled multiple thermochromism toward information storage and encryption32Advances in materials informatics: a review42Solar‐Driven Hydrogen Evolution from Value‐Added Waste Treatment29Machine Learning Aided Design and Optimization of Thermal Metamaterials195Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization1Data-driven strategy for bandgap database construction of perovskites and the potential segregation study11Construction of g-C3N4/Ti3CN MXene Schottky heterojunctions for boosting photocatalytic hydrogen production19Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells2Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites46A review on recent applications of machine learning in mechanical properties of composites100Machine learning in advancing anode materials for Lithium-Ion batteries – A review17Machine-learning-assisted exploration of new non-fullerene acceptors for high-efficiency organic solar cells12A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface8Artificial Intelligence in Metamaterial Informatics for Sonic Frequency Mechanical Identification Tags2From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy0Advances in Palladium-Based Membrane Research: High-Throughput Techniques and Machine Learning Perspectives11Machine learning applied to the design and optimization of polymeric materials: A review51Virtual screening of n-type organic semiconductors using exhaustive band structure calculations0From Prediction to Prescription: A Conceptual Transition Model for AI-Enabled Materials Decision Systems1Integrating graph convolutional networks with large language models for structured biomedical material knowledge representation0Machine Learning-Based Methods for Materials Inverse Design: A Review34Recent advances in heterostructure-based organic field-effect transistor memory6The Problem of Unbounded Search Spaces in Conceptual Materials Discovery0In‐Depth Discussion on Electrocatalytic Barrier with Electron Structure of High‐Entropy Alloy Predicted by Transfer Learning and Neural Networks7Advancing perovskite photovoltaic technology through machine learning‐driven automation49Machine Learning-Driven Prediction of Composite Materials Properties Based on Experimental Testing Data56Machine Learning Enhanced Self‐Charging Power Sources21Unveiling the statistical behaviors of metal‐halide perovskites from films to devices through a high‐throughput experimental platform13Artificial Intelligence for Materials Discovery, Development, and Optimization171Prediction of luminescence lifetimes of Mn4+/Eu3+ doped phosphors based on interpretable machine learning3Application of CASTEP Code to the Simulation of Soft X-ray Emission Spectra of Light Element Materials2Emergent properties and the multiscale characterization challenge in condensed matter, from crystals to complex materials: a review9Atomic Structure Design for Enhancing Metal‐Support Frontier Orbital Interaction to Achieve Efficient Photocatalytic H 2 O 2 Generation12Atomic Structure Design for Enhancing Metal‐Support Frontier Orbital Interaction to Achieve Efficient Photocatalytic H 2 O 2 Generation1Past, present, prospect: AI‐driven evolution of low‐dimensional material design for sustainable environmental solutions16From Data‐Driven to Intelligence‐Driven: Innovating Research Paradigms of Perovskite Solar Cells4Smart design of thermoplastic vulcanizate products: Linking process to performance via interpretable machine learning1Accelerated Cu-Ti alloy design under data scarcity through fine-tuned transfer learning4Subsampling factorization machine annealing1Machine Learning-Driven Design and Discovery of High-Entropy Alloys: A Critical Review of Recent Advances and Future Perspectives5Applications and Advances of Machine Learning in the Development of Solid-State Electrolytes for Lithium-Ion Batteries57Chemical composition-driven performance evaluation model for sbs-modified asphalt using multivariate statistical3Extrapolative prediction of polymer properties using physics-informed hierarchical descriptors4Human Oversight as System Design: A Conceptual Reframing of Control in Semi-Autonomous Materials AI0Physics-Integrated Machine Learning for Materials Science — Conceptual Taxonomies and Open Questions0Scientific Claims Under Distribution Shift: A Conceptual Theory for Robust Materials AI Inference0Sustainable Transformation of Petrochemical Byproducts into High‐Performance Carbon Electrodes: Green Synthesis and Energy Storage Applications2The Limits of Scale in Materials AI: A Conceptual Argument Against ‘Bigger Is Always Better’0The Problem of Scientific Consensus in AI-Driven Materials Science—Conceptual Approaches: A Review Study0Predicting Materials Using Variational Autoencoders: A Systematic Literature Review8Accelerated discovery of MM ′ XT 2 MXenes for catalysis, electronics, and energy storage using supervised machine learning1Integration of Multiscale Simulations and AI Models for the Design of High-Performance Dielectric Polymers0A hybrid deep boosting framework with adaptive label stabilization for SEM-based porosity estimation in fly-ash cement mortar0Metallurgical Indices for Physics-Informed Machine Learning-Based Fatigue Strength Prediction in Steels2Representation learning of crystal materials using Graph Neural Networks: Passive symmetry challenges and advances0Motif-to-spectrum learning enables interpretable discovery and inverse design of optical absorbers0Band engineering via doping modification in Bi2O2Se for enhanced photoelectric conversion efficiency0Data-driven design of electrocatalysts: Machine learning workflows, paradigm shifts, and applications4A semantics-guided multimodal machine learning framework for predicting the flexural strength of C/C-SiC composites0Large language model-assisted design of electrospun bioplastics0From sample value to metallurgical roles: Constructing compact core sets for steel mechanical property interpretability modelling0Machine Learning–Assisted Exploration of the Structural, Dielectric, and Ferroelectric Properties of CaTiO3 Nanoceramics0

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

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

  1. Inference Without Ground Truth: A Conceptual Theory of Validation in Materials AI

    Journal of Artificial Intelligence for Materials Science · 2022-01-01

    Michael Turner, Daniel Brooks, Olivia Grant

    Read original paper ↗ ·

  2. Advances in materials informatics for tailoring thermal radiation: A perspective review

    Next Energy · 2023-11-08

    Jiang Guo, Junichiro Shiomi

    Read original paper ↗ ·

  3. Prediction of Photochromism of Salicylideneaniline Crystals Using a Data Mining Approach

    ACS Omega · 2023-12-22

    Shodai Hasebe, Kan Hatakeyama‐Sato, Kenichi Oyaizu, Toru Asahi, Hideko Koshima

    Read original paper ↗ ·

  4. Machine learning aided design of Bi2WO6/MIL-53(Al) nanocomposites

    Computational Materials Science · 2023-12-23

    Xiuyun Zhai, Mingtong Chen

    Read original paper ↗ ·

  5. A Conceptual Framework for Trustworthy AI Decisions Across the Materials Design Lifecycle

    Journal of Artificial Intelligence for Materials Science · 2024-01-01

    Wei Chen, Li Zhang

    Read original paper ↗ ·

  6. ConvFeatNet ensemble: Integrating microstructure and pre-defined features for enhanced prediction of porous material properties

    Materials Science and Engineering A · 2024-01-01

    Yuhai Li, Tianmu Li, Longwen Tang, Shiyu Ma, Qinglin Wu, Puneet Gupta, Mathieu Bauchy

    Read original paper ↗ ·

  7. Discovery Recommendation Systems: Reframing Materials Selection Algorithms

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Wei Liu, Zhang Min

    Read original paper ↗ ·

  8. https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties

    Digital Discovery · 2024-01-01

    Jin‐Hoon Yang, Habin Kang, Hyuk Jin Kim, Taeho Kim, Heonsu Ahn, Tae Gyu Rhee, Yeong Gwang Khim, Byoung Ki Choi, Moon‐Ho Jo, Hyunju Chang, Jonghwan Kim, Young Jun Chang, Yea‐Lee Lee

    Read original paper ↗ ·

  9. Knowledge Graphs vs Property Predictors: Competing Infrastructures of Materials Intelligence

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Fatima Zahra Amrani, Youssef Benali

    Read original paper ↗ ·

  10. Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension

    The Journal of Chemical Physics · 2024-01-08

    Sergei Manzhos, Sergei Manzhos

    Read original paper ↗ ·

  11. Single-actuated and fully recyclable phase change materials enabled multiple thermochromism toward information storage and encryption

    Chemical Engineering Journal · 2024-01-12

    Shiwei Zhao, Anqian Yuan, Xingbao Chen, Yuan Lei, Xiaowei Fu, Jingxin Lei, Liang Jiang

    Read original paper ↗ ·

  12. Advances in materials informatics: a review

    Journal of Materials Science · 2024-02-01

    Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, Veena Raj, Izan Izwan Misnon, Seeram Ramakrishna, Rajan Jose

    Read original paper ↗ ·

  13. Solar‐Driven Hydrogen Evolution from Value‐Added Waste Treatment

    Advanced Energy Materials · 2024-02-13

    Shan Yu, Yi Lut Li, Anqiang Jiang, Yijiang Chen, Duan Yuangang, Jiale Ye, Ying Zhou

    Read original paper ↗ ·

  14. Machine Learning Aided Design and Optimization of Thermal Metamaterials

    Chemical Reviews · 2024-03-28

    Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, Guimei Zhu, Baowen Li

    Read original paper ↗ ·

  15. Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization

    ChemRxiv · 2024-05-17

    Ramsey Issa, Robert Sorenson, Taylor D. Sparks

    Read original paper ↗ ·

  16. Data-driven strategy for bandgap database construction of perovskites and the potential segregation study

    Journal of Materials Informatics · 2024-05-28

    Bobin Wu, Xinyu Zhang, Zixuan Wang, Zijian Chen, Shaohui Liu, Jie Liu, Zhenming Xu, Qingde Sun, Haitao Zhao

    Read original paper ↗ ·

  17. Construction of g-C3N4/Ti3CN MXene Schottky heterojunctions for boosting photocatalytic hydrogen production

    Surfaces and Interfaces · 2024-06-21

    Fengwei Xu, Zhaolin Li, Deqi Fan, Chengxiao Zhao, Xiaofei Yang

    Read original paper ↗ ·

  18. Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells

    The Journal of Physical Chemistry C · 2024-07-10

    Xunyong Yang, Yuqian Yang, Huimin Meng, Yu Li, Qin Hu

    Read original paper ↗ ·

  19. Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites

    Computer Methods in Applied Mechanics and Engineering · 2024-08-29

    Binbin Yin, Jiasheng Huang, Weikang Sun

    Read original paper ↗ ·

  20. A review on recent applications of machine learning in mechanical properties of composites

    Polymer Composites · 2024-09-18

    Yi Liang, Xinyue Wei, Yongyue Peng, Xiaohan Wang, Xiaoting Niu

    Read original paper ↗ ·

  21. Machine learning in advancing anode materials for Lithium-Ion batteries – A review

    Inorganic Chemistry Communications · 2024-11-19

    Mohammad Aminul Islam, Zahid Ahsan, Mustafizur Rahman, Md. Ibrahim Abdullah, Masud Rana, Nayem Hossain, Mohammad Assaduzzaman Chowdhury

    Read original paper ↗ ·

  22. Machine-learning-assisted exploration of new non-fullerene acceptors for high-efficiency organic solar cells

    Cell Reports Physical Science · 2024-12-01

    Zhikang Zhu, Chenyang Zhu, Yibo Tu, Tianxiang Shao, Yida Wang, Weihong Liu, Yiming Liu, Yue Zang, Qingya Wei, Wensheng Yan

    Read original paper ↗ ·

  23. A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface

    Journal of Nanobiotechnology · 2024-12-03

    Yaxi Chen, Hongyi Chen, Anthony Henry Harker, Yuanchang Liu, Jie Ju Huang

    Read original paper ↗ ·

  24. Artificial Intelligence in Metamaterial Informatics for Sonic Frequency Mechanical Identification Tags

    Advanced Functional Materials · 2024-12-04

    Daniel Saatchi, Myung‐Joon Lee, Tushar Prashant Pandit, Manmatha Mahato, Il‐Kwon Oh

    Read original paper ↗ ·

  25. From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy

    Metals · 2024-12-10

    Rafael Herschberg, Lisa Rateau, Laure Martinelli, Fanny Balbaud‐Célérier, Jean Dhers, Anna Fraczkiewicz, Gérard Ramstein, Franck Tancret

    Read original paper ↗ ·

  26. Advances in Palladium-Based Membrane Research: High-Throughput Techniques and Machine Learning Perspectives

    Processes · 2024-12-12

    Eric Kolor, Muhammad Usman, Sasipa Boonyubol, Köichi Mikami, Jeffrey S. Cross

    Read original paper ↗ ·

  27. Machine learning applied to the design and optimization of polymeric materials: A review

    Next Materials · 2024-12-14

    Sudarsan M. Pai, Karim Ali Shah, Sruthi Sunder, Rodrigo Queiroz Albuquerque, Christian Brütting, Holger Ruckdäschel

    Read original paper ↗ ·

  28. Virtual screening of n-type organic semiconductors using exhaustive band structure calculations

    Science and Technology of Advanced Materials Methods · 2024-12-16

    Tomoharu Okada, Wataru Fujiwara, Hiroshi Katagiri, Hiroyuki Matsui

    Read original paper ↗ ·

  29. From Prediction to Prescription: A Conceptual Transition Model for AI-Enabled Materials Decision Systems

    Journal of Artificial Intelligence for Materials Science · 2025-01-01

    Ahmed Mansour, Omar Saeed

    Read original paper ↗ ·

  30. Integrating graph convolutional networks with large language models for structured biomedical material knowledge representation

    Regenerative Biomaterials · 2025-01-01

    Mufei Li, Yan Zhuang, Yao Hou, Ke Gong Chen, Lin Han, Kefeng Wang, Xiangfeng Li, Xiangdong Zhu, Mingli Yang, Guangfu Yin, Jiangli Lin, Xingdong Zhang

    Read original paper ↗ ·

  31. Machine Learning-Based Methods for Materials Inverse Design: A Review

    Computers, materials & continua/Computers, materials & continua (Print) · 2025-01-01

    Yingli Liu, Yuting Cui, Haihe Zhou, Tao Shen, Sheng Lei, Haibin Yuan, Jiancheng Yin

    Read original paper ↗ ·

  32. Recent advances in heterostructure-based organic field-effect transistor memory

    Nanoscale · 2025-01-01

    Wengting Zhang, Shuang Li, Cheng Zhang, Junliang Shang, Mengqi Ma, Dongping Ma

    Read original paper ↗ ·

  33. The Problem of Unbounded Search Spaces in Conceptual Materials Discovery

    Journal of Artificial Intelligence for Materials Science · 2025-01-01

    Peter Novak, Jana Svoboda

    Read original paper ↗ ·

  34. In‐Depth Discussion on Electrocatalytic Barrier with Electron Structure of High‐Entropy Alloy Predicted by Transfer Learning and Neural Networks

    Advanced Functional Materials · 2025-01-19

    Chen Li, Rui Zhang, Peijie Ma, Kun Zheng

    Read original paper ↗ ·

  35. Advancing perovskite photovoltaic technology through machine learning‐driven automation

    InfoMat · 2025-02-24

    Jiyun Zhang, Jianchang Wu, Vincent Marc Le Corre, Jens Hauch, Yicheng Zhao, Christoph Josef Brabec

    Read original paper ↗ ·

  36. Machine Learning-Driven Prediction of Composite Materials Properties Based on Experimental Testing Data

    Polymers · 2025-03-05

    Христина Володимирівна Берладір, Katarzyna Antosz, Vitalii Ivanov, Zuzana Mitaľová

    Read original paper ↗ ·

  37. Machine Learning Enhanced Self‐Charging Power Sources

    Advanced Functional Materials · 2025-05-05

    Rui Gu, Wei Ping Liang, Nuo Xu, Yao Xiong, Qijun Sun, Zhong Lin Wang

    Read original paper ↗ ·

  38. Unveiling the statistical behaviors of metal‐halide perovskites from films to devices through a high‐throughput experimental platform

    InfoMat · 2025-06-10

    Can Deng, Tang Liu, Pingping Luo, Heng Li, Liyi Yang, Ziyi Liu, Bowen Liu, Xi Lu, Yushan Song, Xiangyu Sun, Yicheng Zhao

    Read original paper ↗ ·

  39. Artificial Intelligence for Materials Discovery, Development, and Optimization

    ACS Nano · 2025-07-25

    Benediktus Madika, Aditi Saha, Chaeyul Kang, Batzorig Buyantogtokh, Joshua Agar, Chris M. Wolverton, Peter W. Voorhees, P. B. Littlewood, Sergei V. Kalinin, Seungbum Hong

    Read original paper ↗ ·

  40. Prediction of luminescence lifetimes of Mn4+/Eu3+ doped phosphors based on interpretable machine learning

    Sensors and Actuators A Physical · 2025-08-18

    Jiayang Zhou, Haozhe Chen, Xiangfu Wang

    Read original paper ↗ ·

  41. Application of CASTEP Code to the Simulation of Soft X-ray Emission Spectra of Light Element Materials

    e-Journal of Surface Science and Nanotechnology · 2025-08-22

    Masahito Niibe, Takeru Nakashima, Yōko Saitō, Yasunobu Ando, Teruyasu Mizoguchi, Iwao Matsuda

    Read original paper ↗ ·

  42. Emergent properties and the multiscale characterization challenge in condensed matter, from crystals to complex materials: a review

    Journal of Physics D Applied Physics · 2025-09-04

    Elisabetta Nocerino

    Read original paper ↗ ·

  43. Atomic Structure Design for Enhancing Metal‐Support Frontier Orbital Interaction to Achieve Efficient Photocatalytic H 2 O 2 Generation

    Angewandte Chemie International Edition · 2025-09-14

    Chen Li, Zhiyi Sun, Jiawei Song, Bing Tang, Peijie Ma, Rui Zhang, Lanlu Lu, Kun Zheng

    Read original paper ↗ ·

  44. Atomic Structure Design for Enhancing Metal‐Support Frontier Orbital Interaction to Achieve Efficient Photocatalytic H 2 O 2 Generation

    Angewandte Chemie · 2025-09-14

    Chen Li, Zhiyi Sun, Jiawei Song, Bing Tang, Peijie Ma, Rui Zhang, Lanlu Lu, Kun Zheng

    Read original paper ↗ ·

  45. Past, present, prospect: AI‐driven evolution of low‐dimensional material design for sustainable environmental solutions

    Rare Metals · 2025-09-29

    Bo-Ru Su, Jianqiao Liu, Dan Zhao, Di Wu, Chuqiao Hu, Peilun Qiu, Yanan Zhang, Ce Fu, Qianru Zhang

    Read original paper ↗ ·

  46. From Data‐Driven to Intelligence‐Driven: Innovating Research Paradigms of Perovskite Solar Cells

    Solar RRL · 2025-10-04

    Ang Li, Chenyi Yi

    Read original paper ↗ ·

  47. Smart design of thermoplastic vulcanizate products: Linking process to performance via interpretable machine learning

    Composites Communications · 2025-10-09

    Héctor Lobato, Ignacio Trojaola, Felipe Garitaonandia, Jon Haitz Badiola, Pablo Larreategi, Aizeti Burgoa

    Read original paper ↗ ·

  48. Accelerated Cu-Ti alloy design under data scarcity through fine-tuned transfer learning

    Materials & Design · 2025-11-01

    Qiao Yin, Yuwei Liu, Hongliang Zhao, Jincheng Wang, Shuya Zhang, Yuheng Fan, Xianglei Dong, Yang Song, Chunwen Guo

    Read original paper ↗ ·

  49. Subsampling factorization machine annealing

    Physical Review Research · 2025-11-19

    Yusuke Hama, Tadashi Kadowaki

    Read original paper ↗ ·

  50. Machine Learning-Driven Design and Discovery of High-Entropy Alloys: A Critical Review of Recent Advances and Future Perspectives

    Metals and Materials International · 2025-11-26

    Mohammad Javad Akbari

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