Next-Generation Experimentation with Self-Driving Laboratories

Cited by (427)

Items 201–300 of 427

1. Sensitive multichannel zero-to ultralow-field NMR with atomic magnetometer arrays
   Blake Andrews, Matthew Lai, Zhen Wang, Norihisa Kato, Michael C. D. Tayler, Emanuel Druga, Ashok Ajoy · 2025 · PNAS Nexus
2. AMPERE-2: an open-hardware, robotic platform for automated electrodeposition and electrochemical validation
   Nis Fisker‐Bødker, Daniel Persaud, Yang Bai, Mark Kozdras, Tejs Vegge, Jason R. Hattrick-Simpers, Jin Hyun Chang · 2025 · Digital Discovery
3. AI in Drug Discovery: Clinical Failures, Regulatory Reality, and the Validation Crisis Behind the Hype
   Lisa Khairil, Koay Hean Seng Benny, Jesreena Jerry, Farhat Mussa Khatib, Muhammad Danial Che Ramli, Suresh Kumar · 2026 · Pharmaceuticals
4. Promoting Sustainability through Next-Generation Biologics Drug Development
   Katharina Paulick, Simon Seidel, Christoph Lange, Annina Kemmer, Mariano Nicolás Cruz Bournazou, André Baier, Daniel Haehn · 2022 · Sustainability
5. The Blockchain Integrated Automatic Experiment Platform (BiaeP)
   Yanheng Xu, Rulin Liu, Jiagen Li, Yao Xu, Xi Zhu · 2020 · The Journal of Physical Chemistry Letters
6. The Duckbot: A system for automated imaging and manipulation of duckweed
   Blair Subbaraman, Orlando de Lange, Sam Ferguson, Nadya Peek · 2024 · PLoS ONE
7. Management of experimental workflows in robotic cultivation platforms
   Lucas Kaspersetz, Britta Englert, Fabian Krah, Ernesto Carlos Martinez, Peter B. Neubauer, Mariano Nicolás Cruz Bournazou · 2024 · SLAS TECHNOLOGY
8. Scalable Accelerated Materials Discovery of Sustainable Polysaccharide-Based Hydrogels by Autonomous Experimentation and Collaborative Learning
   Yang Liu, Xubo Yue, Junru Zhang, Zhenghao Zhai, Ali Moammeri, Kevin J. Edgar, Albert S. Berahas, Raed Al Kontar, Blake N. Johnson · 2024 · ACS Applied Materials & Interfaces
9. Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision
   Graig S. Ganitano, Benji Maruyama, Gilbert L. Peterson · 2025 · Advanced Intelligent Systems
10. Advancing Organic Chemistry Using High‐Throughput Experimentation
    Reem Nsouli, Gaurav Galiyan, Laura K. G. Ackerman · 2025 · Angewandte Chemie
11. AI-driven protein engineering: A new paradigm for plant trait design
    Ran Fu, Shan Jiang, Tong Wu, Can Yin, Jun Yan, Xiangfeng Wang · 2026 · Molecular Plant
12. A semi-automated material exploration scheme to predict the solubilities of tetraphenylporphyrin derivatives
    Raku Shirasawa, Ichiro Takemura, Shinnosuke Hattori, Yuuya Nagata · 2022 · Communications Chemistry
13. Autonomous Drug Design with Multi-Armed Bandits
    Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani · 2022 · IEEE International Conference on Big Data (BigData)
14. Quantifying and rationalizing polarization curves of Zn-air fuel-cells: A simple enabling contribution to device-scale analysis and monitoring
    Benedetto Bozzini, Sonia Bagheri, Marco Virginio Boniardi, Lucia Mancini, Emanuele Marini, Ivonne Sgura, Claudio Mele · 2022 · Electrochimica Acta
15. Phase stability studies on transition metal phosphates aided by an automated synthesis
    Stephanos Karafiludis, Tom William Ryll, Ana Guilherme Buzanich, Franziska Emmerling, Tomasz Maciej Stawski · 2023 · CrystEngComm
16. Synthetic approaches toward small molecule libraries
    Elena Lenci, Andrea Trabocchi · 2020 · Elsevier eBooks
17. Data Analytics for Catalysis Predictions: Are We Ready Yet?
    Difan Zhang, Brett A. Smith, Haiyi Wu, Manh‐Thuong Nguyen, Roger J. Rousseau, Vassiliki‐Alexandra Glezakou · 2024 · ACS Catalysis
18. The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
    Simon Krarup Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli · 2025 · Advanced Intelligent Discovery
19. Automating Synthetic Organic Electrochemistry: Concepts and Advancements
    Eduardo Rial‐Rodríguez, Christian Oliver Kappe, Gabriele Laudadio · 2025 · Chemistry - Methods
20. Accurate and uncertainty-aware multi-task prediction of HEA properties using prior-guided deep Gaussian processes
    Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolás Vicente Flores, Danial Khatamsaz, Jan Janssen, Danny Pérez, Douglas Allaire, Vahid Attari, Raymundo Arróyave · 2025 · npj Computational Materials
21. Toward Sustainable Solar Energy: Predicting Recombination Losses in Perovskite Solar Cells with Deep Learning
    Syed Raza Abbas, Bilal Ahmad Mir, Ji-Hyoung Ryu, Seung Won Lee · 2025 · Sustainability
22. A Mild Synthesis of Aryl Triflates Enabling the Late‐Stage Modification of Drug Analogs and Complex Peptides
    Stefan Schießer, Joanna Ceklarz, Johanna Kollback, Lucie Borowiec, Julia Fågerlund, Shakiba Vahdat, Marika Lindhagen, Okky Dwichandra Putra · 2023 · Chemistry - A European Journal
23. Flexible formulation of value for experiment interpretation and design
    Matthew R. Carbone, Hyeong Jin Kim, Chandima Fernando, Shinjae Yoo, Daniel Olds, Howie Joress, Brian DeCost, Bruce Ravel, Yugang Zhang, Phillip M. Maffettone · 2023 · Matter
24. Dynamic sampling in autonomous process optimization
    Melodie M. Christensen, Yuting Xu, Eugene E. Kwan, Michael J. Di Maso, Yining Ji, Mikhail Reibarkh, Alexandra C. Sun, Andy I. Liaw, Patrick S. Fier, Shane T. Grosser et al. · 2024 · Chemical Science
25. Learnable features for predicting properties of metal-organic frameworks with deep neural networks
    Van-Quyen Nguyen, Phuoc‐Anh Le, Phi Long Nguyen, Tien-Lam Pham, Thi Viet Bac Phung, Kostya S. Novoselov, Laurent El Ghaoui · 2024 · Cell Reports Physical Science
26. A streamlined synthesis of the neurosteroid 3β-methoxypregnenolone assisted by a statistical experimental design and automation
    Valentina Mancino, Federico Croci, Anna Maria Lozza, Bruno Cerra, Antimo Gioiello · 2019 · Reaction Chemistry & Engineering
27. Computational framework for polymer synthesis to study dielectric properties using polarizable reactive molecular dynamics
    Ankit Mishra, Lihua Chen, ZongZe Li, Kenichi Nomura, Aravind Krishnamoorthy, Shogo Fukushima, Subodh Tiwari, Rajiv K. Kalia, Aiichiro Nakano, Rampi Ramprasad et al. · 2023 · Computational Materials Science
28. OpenMEA: Open-Source Microelectrode Array Platform for Bioelectronic Interfacing
    Gerard O’Leary, Iouri Khramtsov, Rakshith Ramesh, Aidan Perez-Ignacio, Prajay T. Shah, Homeira Moradi Chameh, Adam Gierlach, Roman Genov, Taufik A. Valiante · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
29. AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support
    Yuxi Zhao, Xingrui Li, Yaying Du · 2026 · Journal of Translational Medicine
30. A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research
    Lukas Nolte, Sven Tomforde · 2025 · Applied Sciences
31. Molecular Machine Learning Approach to Enantioselective C–H Bond Activation Reactions: From Generative AI to Experimental Validation
    Ajnabiul Hoque, Taiwei Chang, Jin‐Quan Yu, Raghavan B. Sunoj · 2025 · Chemical Science
32. Exploring Novel Biologically-Relevant Chemical Space Through Artificial Intelligence: The NCATS ASPIRE Program
    Katharine K. Duncan, Dobrila D. Rudnicki, Christopher P. Austin, Danilo A. Tagle · 2020 · Frontiers in Robotics and AI
33. A forward view for Digital Discovery : the scientific challenges of the twenty-first century require accelerated discovery approaches
    Alán Aspuru‐Guzik · 2022 · Digital Discovery
34. THE IMPACT OF INDUSTRY 4.0 ON THE FORMATION OF SCIENCE 4.0
    Tahmasib Kh. Fataliyev, Shakir Mehdiyev · 2022 · Problems of Information Technology
35. Gemini: Dynamic Bias Correction for Autonomous Experimentation and Molecular Simulation
    Riley J. Hickman, Florian Häse, Loı̈c M. Roch, Alán Aspuru‐Guzik · 2021 · arXiv (Cornell University)
36. Brokering between tenants for an international materials acceleration platform
    Monika Vogler, Jonas Busk, Hamidreza Hajiyani, Peter Bjørn Jørgensen, Nehzat Safaei, Ivano E. Castelli, Francisco Ramirez, Johan Martin Carlsson, Giovanni Pizzi, Simon Clark et al. · 2022 · ChemRxiv
37. Affordable Automated Modules for Lab‐Scale High‐Throughput Synthesis of Inorganic Materials
    Icíar Monterrubio, Joseba Orive, Maha Ismail, Evaristo Castillo, Javier García, Ismael Redondo, Jean‐Luc Dauvergne, Amaia Saracibar, Javier Carrasco, Montse Casas‐Cabanas et al. · 2025 · Chemistry - A European Journal
38. Boron containing energetic ionic liquids: Sustainable propellants for green aerospace propulsion
    Daolun Liang, Xuxuan Guo, Dekui Shen, Binghong Chen, Jianzhong Liu, Kai Hong Luo · 2025 · Renewable and Sustainable Energy Reviews
39. Artificial Intelligence-Guided Pulsed Synthesis of Zinc Oxide Nanostructures on Thin Metal Shells
    Serguei P. Murzin · 2025 · Processes
40. Enabling Synthetically Feasible Molecular Editing in Drug Discovery via Reaction-Regulated Graph-Based Genetic Algorithms
    Sung Wook Moon, Se Hwan Ahn, Jin Hee Ahn, Hyun Woo Kim · 2026 · JACS Au
41. Harnessing Artificial Intelligence (AI) for a greener future: a review of AI advancements in green chemistry, chemical processes and sustainable materials
    Ahmed M. Elkhatat, Shaheen A. Al‐Muhtaseb · 2026 · Applied Intelligence
42. Curiosity driven exploration to optimize structure–property learning in microscopy
    Aditya Vatsavai, Ganesh Narasimha, Yongtao Liu, Jawad Chowdhury, Jan‐Chi Yang, Hiroshi Funakubo, Maxim A Ziatdinov, Rama Krishnan Vasudevan · 2025 · Digital Discovery
43. Self-driving lab discovers principles for steering spontaneous emission beyond conventional Fourier optics
    Saaketh Desai, Sadhvikas Addamane, Jeff Y. Tsao, Igal Brener, Rémi Dingreville, Prasad P. Iyer · 2025 · Nature Communications
44. Exploring Chemistry in Virtual Reality: A Comparative Analysis of VR Simulations for Chemistry Education
    Jamshid Kayumov, Durbek Abdikhoshimovich Usmanov, Ugiloy Yusufovna Yusupova, Zulayho Asanaliyevna Smanova, Bakhtiyor Rasulev · 2025 · Applied Sciences
45. The evolving role of programming and LLMs in the development of self-driving laboratories
    John R. Kitchin · 2025 · APL Machine Learning
46. Exploring Benchmarks for Self-Driving Labs using Color Matching
    Tobias S. Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T Foster · 2023 · International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
47. Nonlinear Potentiodynamic Battery Charging Protocols for Fun, Education, and Application
    Helge Sören Stein · 2024 · ACS Engineering Au
48. Machine Learning at the (Nano)materials-biology Interface
    David Alan Winkler · 2020 · Royal Society of Chemistry eBooks
49. Autonomous Titration for Chemistry Classrooms: Preparing Students for Digitized Chemistry Laboratories
    Florian Häse, Teresa Tamayo-Mendoza, Carmen Boixo, Jonathan Romero, Loı̈c M. Roch, Alán Aspuru‐Guzik · 2020 · ChemRxiv
50. Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
    Lauren Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon C. Rask, Graham Mackintosh, Adrienne Hoarfrost et al. · 2021 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
51. Pellet dispensomixer and pellet distributor: open hardware for nanocomposite space exploration via automated material compounding
    Miguel Hernández‐del‐Valle, Jorge Ilarraza-Zuazo, Enrique Dios-Lázaro, Javier Rubio, Joris Audoux, Maciej Harańczyk · 2024 · Digital Discovery
52. Leveraging feature gradient for efficient acquisition function maximization in material composition design
    Yuehui Xian, Yunfan Wang, Pengfei Dang, Xinquan Wan, Yumei Zhou, Xiangdong Ding, Jun Sun, Dezhen Xue · 2025 · Digital Discovery
53. A data-driven approach to the generalization of free radical polymerization kinetic models via automated flow chemistry
    Amna Binte Asghar, Bo Zhang, Vianna F. Jafari, Tanja Junkers · 2025 · Reaction Chemistry & Engineering
54. Converging pathways of microfluidic metal-organic framework and artificial intelligence: A novel research frontier
    Aslam Hossain, Zhengyou Li, P.D. Kuznetsova, Ilia A. Pankin, Alexander Vladimirovich Soldatov, Jun Ho Shim · 2025 · Chemical Engineering Journal
55. Toward full automation in synthetic biology: A progressive conceptual framework integrating robotics and intelligent agents
    Mirco Plante, Antoine Champie, François Michaud, Sébastien Rodrigue · 2025 · SLAS TECHNOLOGY
56. Tumor microenvironment conversion through intelligent nanomedicine: a paradigm shift in overcoming chemoresistance
    Maliheh Hasannia, Mahdi Abounoori, Fatemeh Mahmoudian, Maryam Shirzad, Abbas Rahdar, Selamu Duguna, Sadanand Pandey · 2026 · Frontiers in Oncology
57. AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization
    Jiwoo Choi, Seongmin Kim, Junkil Park, Junyoung Choi, Sunggi An, Yousung Jung · 2026 · Chemical Reviews
58. Exploration and reflection on the female labor industryin the era of artificial intelligence
    Shujia He · 2024 · Interdisciplinary Humanities and Communication Studies
59. From Sunlight to Solutions: Closing the Loop on Halide Perovskites
    Elham Foadian, Sheryl L. Sanchez, Sergei V. Kalinin, Mahshid Ahmadi · 2024 · ACS Materials Au
60. Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: Solvation free energy as a case study
    Jeffrey G. Ethier, Andrew S. Paluch, Vikas Varshney · 2025 · APL Machine Learning
61. Future medicinal chemists experience flow chemistry: optimization by experimental design of the limiting synthetic step to the antifungal drug econazole nitrate
    Bruno Cerra, Antimo Gioiello · 2021 · Journal of Flow Chemistry
62. Vloga umetne inteligence v izobraževanju in za izobraževanje
    Igor Pesek, Marjan Krašna · 2022
63. Self‐Driving Lab for Solid‐Phase Extraction Process Optimization and Application to Nucleic Acid Purification
    Sebastian Putz, Jonathan Döttling, Tim Ballweg, André Tschöpe, Vitaly Biniyaminov, Matthias Franzreb · 2024 · Advanced Intelligent Systems
64. Characterizing Transport Properties of Surface Charged Nanofiltration Membranes via Model-Based Data Analytics
    Xinhong Liu, Laurianne Estrada, Jonathan Aubuchon Ouimet, Matthew McClure, David R. Latulippe, William A. Phillip, Alexander William Dowling · 2025 · Industrial & Engineering Chemistry Research
65. Data Science, Machine Learning and Artificial Intelligence Applied to Metals and Alloys Research: Past, Present, and Future
    Raymundo Arróyave · 2021 · Elsevier eBooks
66. RetroPrime: A Chemistry-Inspired and Transformer-based Method for Retrosynthesis Predictions
    Xiaorui Wang, Jiezhong Qiu, Yuquan Li, Guangyong Chen, Huanxiang Liu, Ben Liao, Chang‐Yu Hsieh, Xiaojun Yao · 2020 · ChemRxiv
67. A Bag of Tricks for Automated De Novo Design of Molecules with the Desired Properties: Application to EGFR Inhibitor Discovery
    Maria V. Korshunova, Niles Huang, Stephen J. Capuzzi, Dmytro S. Radchenko, Olena Savych, Yurii S. Moroz, Carrow I. Wells, Timothy Mark Willson, Alexander Tropsha, Olexandr Isayev · 2021 · ChemRxiv
68. Correction of gas chromatography–mass spectrometry long-term instrumental drift using quality control samples over 155 days
    Jie Yu, Tong An, Daifeng Chen, Shining Zong, Dongxiao Bai, Dawei Qi, Luning Zhang, Junming Shi · 2025 · Scientific Reports
69. Elucidating the Electrochemical Properties of LiFe0.5Mn1.5O4 as a High-Voltage, Low-Cost Material
    Icíar Monterrubio, Oier Lakuntza, Montse Casas‐Cabanas, Marine Reynaud, Javier Carrasco, Amaia Saracibar · 2024 · The Journal of Physical Chemistry C
70. Synergizing Chemical and AI Communities for Advancing Laboratories of the Future
    Saejin Oh, Xinyi Fang, I-Hsin Lin, Paris Dee, Christopher S. Dunham, Stacy M. Copp, Abigail G. Doyle, Javier Read de Alaniz, Mengyang Gu · 2026 · ACS Central Science
71. Large Language Models for High-Entropy Alloys: Literature Mining, Design Orchestration, and Evaluation Standards
    Yutong GUO, Chao Yang · 2026 · Metals
72. Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
    Guoyue Xu, Renzheng Zhang, Tengfei Luo · 2026 · Advanced Intelligent Discovery
73. Computational Strategies for Design and Optimization of Polymer‐Supported Heterogenized Nanocatalysts
    H.F. Aslanova, Nigar Shikhverdiyeva, Ch.M. Seyidova, I. V. Shikhverdiyev, Sh.D. Tagiyev, Nizami Allahverdi Zeynalov, D. B. Tagiyev · 2026 · Journal of Computational Chemistry
74. Opportunities for artificial intelligence and synthetic biology in designing living drug delivery systems
    Jason H. Yang, Caleb J. Bashor · 2026 · Advanced Drug Delivery Reviews
75. Design and performance of AI agents interfacing with an atomic layer deposition tool
    Ángel Yanguas-Gil, Jessica C. Jones, Sungjoon Kim, Chi Thang Nguyen, Jeffrey W. Elam · 2026 · Review of Scientific Instruments
76. Advanced Computational Technologies for Experiment Control, Data Acquisition, and Data Analysis at the Advanced Photon Source
    John Hammonds, Steven F. Henke, Pete R. Jemian, Saugat Kandel, Hannah Parraga, Luca Rebuffi, Xianbo Shi, Siniša Veseli, Mark Wolfman, Max Wyman et al. · 2023 · Synchrotron Radiation News
77. Science 4.0 as a Model of Scientific Activity in an Innovative Environment of Industry 4.0
    Shakir Mehdiyev, Tahmasib Kh. Fataliyev · 2024 · International Journal of Cyber Research and Education
78. Self-exploring automated experiments for discovery, optimization, and control of unsteady vortex-dominated flow phenomena
    Karen Mülleners · 2024 · Physical Review Fluids
79. 69Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences
    Neha Minocha, Parijat Pandey · 2025 · De Gruyter eBooks
80. Re‐imagining Priorities for Chemistry: A Central Science for “Freedom from Fear and Want”
    Stephen A. Matlin, Alain Krief, Henning Hopf, Goverdhan Mehta · 2021 · Angewandte Chemie
81. Accelerated design of chromium carbide overlays via design of experiment and machine learning
    Jing Li, Bing Cao, Haohan Chen, Leijun Li · 2022 · Materials Letters
82. A Prediction of Future States: AI-powered Chemical Innovation for Defense Applications
    Tyler S. Stukenbroeker, Jonathan Clausen · 2020 · Royal Society of Chemistry eBooks
83. Advancing the Pareto front using a self-driving laboratory
    Benjamin P. MacLeod, Fraser G. L. Parlane, Kevan E. Dettelbach, Michael S. Elliott, Connor C. Rupnow, Thomas D. Morrissey, Ted H. Haley, Oleksii Proskurin, Michael B. Rooney, Nina Taherimakhsousi et al. · 2021 · arXiv (Cornell University)
84. Overview of AI in the Understanding and Design of Nanoporous Materials
    Seyed Mohamad Moosavi, Frits F. D. Daeyaert, Michael W. Deem, Germán Sastre · 2023
85. Safe Reinforcement Learning in Simulated Environment of Self-Driving Laboratory
    Andrey V. Chernov, Ilias Κ. Savvas, Maria A. Butakova, Oleg O. Kartashov · 2021 · European Symposium on Software Engineering (ESSE)
86. Application and Prospect of Machine Learning in the Field of Materials and Chemical Engineering
    Fuzhi Wang · 2024 · Architecture Engineering and Science
87. Data integration and data fusion approaches in self-driving labs: A perspective
    Alexey V. Gulyuk, Nahed Abu Zaid, Rada Y. Chirkova, Yaroslava G. Yingling · 2025 · APL Machine Learning
88. Special Issue “Bioceramics: Challenges and Medical Applications of Calcium-Phosphate-Based Biocompatible Ceramics”
    Kazuaki Hashimoto, Mamoru Aizawa · 2025 · International Journal of Molecular Sciences
89. A Brief Introduction to the Convergence of Artificial Intelligence and Biotechnology
    Megan C. Marcellin, Gianluca Pescaroli, Markus Schmidt, Benjamin D. Trump, Travis B. Tubbs, María Francisca Villegas-Torres, James H. Lambert, Christian Haggenmiller, Ya. B. Blume, Alexander J. Kamrud et al. · 2026 · NATO science for peace and security series. A, Chemistry and biology
90. A transferable data driven framework for electrolyte discovery
    Neal Kapadia, Jiaqi Ke, Laisuo Su · 2026 · Discover Energy
91. Machine Learning and Autonomous Systems for Accelerated Synthesis
    Matthew A. McDonald, Klavs F. Jensen · 2026 · Annual Review of Analytical Chemistry
92. Cognitive AI beyond prediction: toward reasoning and discovery
    Jianliang Gong, Han Zhou, Shicheng Yu, Yiwang Chen · 2026 · Materials Horizons
93. Toward autonomous discovery in small-molecule organic photovoltaics: A review integrating artificial intelligence and machine learning within the molecular design landscape
    Sania Ismaeel, Sidra Manzoor, Muhammad Zohaib Sabir · 2026 · Organic Electronics
94. Experimental High‐Throughput Electrochemistry
    Jens N. Noack · 2026 · ChemElectroChem
95. Navigating the landscape of modular reconfigurable laboratory automation in chemistry
    Rodrigo Moreno, Jonas Jensen, Andrés Faíña, Kasper Støy · 2026 · Digital Discovery
96. Data Science for Chemistry, Energy and Materials: Building the Foundations for Data-Driven Discovery
    Yongqing Cai · 2026 · Data
97. Membrane Formation by Phase Separation: Mechanisms, Simulation, and Machine-Learning-Assisted Modeling
    Peilin Han, Shilong Feng, Yi Feng, Renyao Huang, Xingzheng Peng, Xiaojie Zhang · 2026 · ACS Applied Polymer Materials
98. Coupling High-Throughput Density Functional Theory, Automated Experimentation, and Adaptive Experimental Design To Achieve Selective Rare-Earth Element Separations
    Logan J. Augustine, Yufei Wang, Michael G. Taylor, Michael Tynes, Sara L. Adelman, Enrique R. Batista, Stosh A. Kozimor, Nicholas Lubbers, Danny Pérez, Ping Xiong Yang · 2026 · Journal of the American Chemical Society
99. Autonomous laboratories for sustainable nanomaterials discovery
    Aarti Jathar, Beena R. Nawghare, Ketankumar A. Ganure · 2026 · Next Materials
100. Closed-loop agentic AI in drug discovery
     Pranal Chhetri · 2026 · RSC Medicinal Chemistry