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Papers citing Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams

  1. Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys

    Materials · 2024-08-14

    Nathan Scott Johnson, Aashwin Mishra, Dylan J. Kirsch, Apurva Mehta

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  2. Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward

    Macromolecules · 2024-09-07

    Peter A. Beaucage, Duncan R. Sutherland, Tyler B. Martin

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  3. Active learning assisted piezoelectric materials synthesis on the basis of composite decision-making

    MedMat. · 2024-09-25

    En Liang Zhao, Tingyu Wang, Yutong Wang, Zeng Fan, Ling Chen, Zhiyuan Zhu, Wei Tang

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  4. Black-box optimization technique for investigation of surface phase diagram

    AIP Advances · 2024-12-01

    Makoto Urushihara, Kenji Yamaguchi, Ryo Tamura

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  5. Polymorphous nature of the local structure of δ − B i 2 O 3

    Physical Review Materials · 2024-12-26

    Xingang Zhao, Oleksandr I. Malyi, Alex Zunger

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  6. Autonomous Laboratories and Closed-Loop Materials Discovery: A Conceptual Framework for Self-Driving Experimentation

    Journal of Computational and Data-Driven Materials Engineering · 2025-01-01

    Thabo Nkosi, Lerato Molefe, Sipho Dlamini, Ayanda Mokoena, Kabelo Ndlovu

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  7. Gaussian processes for dynamics learning in model predictive control

    Annual Reviews in Control · 2025-01-01

    Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger

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  8. Physics-informed Gaussian process classification for constraint-aware alloy design

    Digital Discovery · 2025-01-01

    Christofer Hardcastle, Ryan O'Mullan, Raymundo Arróyave, Brent Vela

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  9. Resource Allocation without Deliberation: Governance Structures in Autonomous Materials Experimentation

    Journal of Computational and Data-Driven Materials Engineering · 2025-01-01

    Fatima Zahra Amrani, Youssef Benali

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  10. Runaway Discovery Trajectories: Intervention Thresholds in Self-Reinforcing Materials AI Systems

    Journal of Computational and Data-Driven Materials Engineering · 2025-01-01

    Claire Martin, Julien Robert, Sophie Bernard

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  11. The Problem of Negative Results in Materials AI: A Conceptual Proposal for Failure-Aware Learning Systems

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

    Fatima Zahra Amrani, Youssef Benali

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  12. Accelerating CALPHAD-based phase diagram predictions in complex alloys using universal machine learning potentials: Opportunities and challenges

    Acta Materialia · 2025-01-22

    Siya Zhu, ‪Doğuhan Sarıtürk, Raymundo Arróyave

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  13. Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations

    Nature Communications · 2025-03-06

    Enze Zhu, Zheng Zong, Erji Li, Yang Lu, Jingwei Zhang, Hao Xie, Ying Li, Wen‐Yan Yin, Zhun Wei

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  14. Laser‐Induced Crystallization and Oxidation Phase Diagrams for High‐Throughput Evaluation of MoS 2 /MoO x Optical Thin Films

    Advanced Optical Materials · 2025-05-05

    Drake Austin, Brian M. Everhart, Michael Altvater, Arthur R. Woll, Christopher Muratore, Benjamin Robertson, Lirong Sun, Mario Hofmann, Michael E. McConney, Peter R. Stevenson, Nicholas R. Glavin

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  15. Probabilistic phase labeling and lattice refinement for autonomous materials research

    npj Computational Materials · 2025-05-24

    Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla Pedro Gomes, Robert Bruce Van Dover, Michael O. Thompson

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  16. Artificial Intelligence‐Driven Approaches in Semiconductor Research

    Advanced Materials · 2025-06-19

    Yanping Zheng, Hao Xu, Zhexin Li, Linlin Li, Yongchao Yu, Pengfei Jiang, Yanmeng Shi, Jing Zhang, Yuqing Huang, Qing Luo, Zheng Lou, Lili Wang

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  17. Machine Learning-Based High Entropy Alloys-Algorithms and Workflow: A Review

    Acta Metallurgica Sinica (English Letters) · 2025-06-28

    Hao Cheng, Chenglei Wang, Xiao-Du Li, Li Pan, Chaojie Liang, Weijie Liu

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  18. Real-time experiment-theory closed-loop interaction for autonomous materials science

    Science Advances · 2025-07-02

    Haotong Liang, C Wang, Heshan Yu, Dylan J. Kirsch, Rohit Kumar Pant, Austin McDannald, Aaron Gilad Kusne, Ji‐Cheng Zhao, Ichiro Takeuchi

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  19. 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

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  20. AutoSAS: A new human-aside-the-loop paradigm for automated SAS fitting for high throughput and autonomous experimentation

    APL Machine Learning · 2025-08-12

    Duncan R. Sutherland, Rachel R. Ford, Yun Liu, Tyler B. Martin, Peter A. Beaucage

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  21. Bayesian Optimization for Multicomponent Supramolecular Systems

    Journal of the American Chemical Society · 2025-09-04

    Stef A. H. Jansen, Albert Jan Markvoort, Freek V. de Graaf, Martin G. T. A. Rutten, Patricia Y. W. Dankers, Ghislaine Vantomme, Tom F. A. de Greef, Egbert W. Meijer

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  22. Benchmarking self-driving labs

    Digital Discovery · 2025-10-09

    Adedire D. Adesiji, Jiashuo Wang, Cheng-Shu Kuo, Keith A. Brown

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  23. Building an affordable self-driving lab: Practical machine learning experiments for physics education using Internet-of-Things

    APL Machine Learning · 2025-10-29

    Yang Liu, Quan Lei, Xiaolong He, Yizhe Xue, Kexin He, Haitao Yang, Yong Wang, Xian Zhang, Li Yang, Yichun Zhou, Ruiqi Hu, Yong Jun Xie

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  24. Dynamical mean field theory for real materials on a quantum computer

    npj Computational Materials · 2025-10-31

    Johannes Selisko, Maximilian Amsler, Christopher Wever, Yukio Kawashima, Ge. G. Samsonidze, Rukhsan Ul Haq, Francesco Tacchino, Ivano Tavernelli, Thomas Eckl

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  25. PhaseXplorer Creates High-Dimensional Phase Diagrams with Closed-Loop Active Learning

    ACS Nano · 2025-11-03

    Stef A. H. Jansen, Lasse Sander Dreyer, Jule van Basten, Yihan Yao, Daniel E. Otzen, Tom F. A. de Greef, Tuomas P. J. Knowles, Egbert W. Meijer, Nadia A. Erkamp

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  26. A self-driving physical vapor deposition system making sample-specific decisions on the fly

    npj Computational Materials · 2025-11-05

    Yu Zheng, Connor Blake, Layla Mravac, Fengxue Zhang, Yuxin Chen, Shuolong Yang

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  27. Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy

    npj Computational Materials · 2025-11-19

    Siya Zhu, ‪Doğuhan Sarıtürk, Raymundo Arróyave

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  28. Intelligent screening of porous materials: A review of active-learning approaches in MOF research

    Chemical Physics Reviews · 2025-12-01

    Etinosa Osaro, Yamil J. Colón

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  29. Networking autonomous material exploration systems through transfer learning

    npj Computational Materials · 2025-12-09

    Naoki Yoshida, Yutaro Iwabuchi, Yasuhiko Igarashi, Yuma Iwasaki

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  30. Role of the thermomagnetic coupling mechanism in phase-change materials for advanced applications

    Discover Applied Sciences · 2025-12-24

    Wubshet Getachew Mengesha

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  31. Bayesian diversity control for batch-based phase diagram determination

    Digital Discovery · 2026-01-01

    Peiheng Zou, Ryo Tamura, Koji Tsuda

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  32. Metallurgy-informed Bayesian optimization: rethinking alloy discovery and design

    Digital Discovery · 2026-01-01

    Raymundo Arróyave

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  33. Review of module designs for organic and perovskite solar cells

    Energy & Environmental Science · 2026-01-01

    Jae Won Kim, You‐Hyun Seo, Hee Jeong Jeong, Eun Chong Chae, Helen Hejin Park, Bong Joo Kang, Kyungsik Kim, Jinho Lee, Soonil Hong, Nam Joong Jeon

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  34. Instabilities and phase transitions in architected metamaterials: a gradient-enhanced continuum approach

    Computer Methods in Applied Mechanics and Engineering · 2026-01-15

    Sarvesh Joshi, S. Mohammad Mousavi, Craig M. Hamel, Stavros Gaitanaros, Prashant K. Purohit, Ryan Alberdi, Nikolaos Bouklas

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  35. Predicting DNA Origami Stability in Physiological Media by Machine Learning

    Small Structures · 2026-02-01

    Judith Zubia-Aranburu, Andrea Gardin, Lars J. M. M. Paffen, Matteo Tollemeto, Ane Alberdi, Maite Termenón, Francesca Grisoni, Tania Patiño

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  36. Machine Learning Toolkits and Frameworks for Materials Design

    Wiley Interdisciplinary Reviews Computational Molecular Science · 2026-03-01

    B. Moses Abraham, Yury G. Gogotsi

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  37. Next-generation hydrogen storage: Artificial intelligence-powered optimization for clean energy

    Next Energy · 2026-03-13

    Manikandan Palanichamy

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  38. Active Learning‐Guided Polymorph Control in Co‐Precipitation Synthesis

    Small Methods · 2026-03-19

    Tong Gang Zhao, Yan Zeng

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  39. LLMs, RAG systems, and agents in crystalline materials discovery and characterization: A systematic review

    MRS Bulletin · 2026-04-24

    Joseph Oche Agada, Arpan Biswas

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  40. Beyond Molecular Determinism: State‐Convergent Polymerization as a Functional Design Principle Under Chemical Complexity

    Advanced Science · 2026-06-09

    Seonki Hong

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  41. Real-time Multi-instrument Autonomous Materials Screening for Discovery of Novel Phase-change Memory Materials

    Research Square · 2026-06-24

    Ichiro Takeuchi, Chih‐Yu Lee, Haotong Liang, Ryan Kim, Carlos Rı́os, Austin McDannald, Aaron Gilad Kusne

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  42. Toward autonomous experimentation: Bayesian optimization over problem formulation space for accelerated alloy development

    Materials & Design · 2026-07-15

    Joseph Wagner, Danial Khatamsaz, Brent Vela, Raymundo Arróyave, Douglas Allaire

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  43. Autonomous Materials Exploration Integrates Automated Phase Identification and AI Agents Enhanced by Human Guidance

    PRX Intelligence · 2026-07-28

    Ming-Chiang Chang, Maximilian Amsler, Duncan R. Sutherland, Sebastian Ament, Katie R. Gann, Lan Zhou, Louisa Smieska, Arthur R. Woll, John M. Gregoire, Carla P. Gomes, Robert Bruce Van Dover, Michael O. Thompson

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  44. AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization

    Chemical Reviews · 2026-08-03

    Jiwoo Choi, Seongmin Kim, Junkil Park, Junyoung Choi, Sunggi An, Yousung Jung

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  45. A review of autonomous experimentation in lignocellulosic bioethanol production: Self-driving laboratory strategies for process optimization

    Chemical Engineering Journal Green and Sustainable · 2026-08-15

    Karan Kapoor, Sudarshan Sahu, Saumya Bharti, Anupreet Kaur, Shailendra Kumar Arya

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  46. Large-language-model-driven adaptive search space definition for autonomous closed-loop materials exploration

    Communications Materials · 2026-08-25

    Yuma Iwasaki, Ryo Toyama, Ryo Tamura, Shôichi Matsuda, Yuya Sakuraba, Masato Kotsugi, Yasuhiko Igarashi, Keitaro Sodeyama

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  47. Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

    Advanced Functional Materials · 2026-09-10

    Yu Liu, Aditya Raghavan, Utkarsh Pratiush, Ian Mercer, Pochun Hsieh, Albert Suceava, Chih‐Yu Lee, Edgar Dimitrov, Mauricio Terrones, Ichiro Takeuchi, Venkatraman Gopalan, Jon‐Paul Maria, Sergei V. Kalinin

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  48. From Coprecipitation to Nanostructure: Formation, Morphology, and Reactive-Site Accessibility in Fe-Containing Binary Layered Double Hydroxides

    Nanomaterials · 2026-09-24

    Alua Alikeyeva, Nurbolat Kudaibergenov, Kairzhan Shalmagambetov, A.I. Azimbay

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