BetaCitation Atlas

RESEARCH PAPER · Chemical Society Reviews · 2024

From text to insight: large language models for chemical data extraction

Mara Schilling-Wilhelmi, Martiño Ríos-García, Sherjeel Shabih, M.V. Gil, Santiago Miret, Christoph T. Koch, J.A. Marquez, Kevin Maik Jablonka

Read original paper ↗

See where this research leads.

142 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

From text to insight: large language models for chemical data extractionOriginalLatent Variable Leakage in Materials AI: A Conceptual Risk Framework0Primacy Effect or Recency Effect? The Interplay of Travel Duration and Hedonic Trends in Multi-Destination Tourism3Beyond self-report surveys: Leveraging multimodal large language models (MLLMs) for farmers market data harvesting from public digital resources1Can large language models predict the hydrophobicity of metal–organic frameworks?8Current status and perspective of metal-free materials as catalysts in acetylene hydrochlorination: active site, dopant, and mechanism7DT-MIM: A network suitable for alloy microstructure evolution prediction and characterization0Extraction of chemical synthesis information using the World Avatar4NMRExtractor: leveraging large language models to construct an experimental NMR database from open-source scientific publications14Text mining in MOF research: from manual curation to large language model-based automation11Advances in innovative extraction techniques for polysaccharides, peptides, and polyphenols from distillery by-products: Common extraction techniques, emerging technologies, and AI-driven optimization21From pages to patterns: Towards extracting catalytic knowledge from structure and text for transition-metal complexes and metal-organic frameworks6Empowering Generalist Material Intelligence with Large Language Models29A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists84Rapid SERS Analysis: From Laboratory to Real Sample31Unlocking deep eutectic solvent knowledge through a large language model-driven framework and an interactive AI agent14Artificial Intelligence Paradigms for Next-Generation Metal–Organic Framework Research54Automated construction of inorganic materials databases and materials discovery based on large language models0The converging moment of chemistry and artificial intelligence: a review and outlook0Software implementation of probabilistic-deterministic design of a chemical experiment on R1Chemistries Moonshot: An Entirely Recyclable Car3Implementation of an open chemistry knowledge base with a Semantic Wiki2Enabling large language models for real-world materials discovery39Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskites via Language Models5Cognition-enhanced instruction framework: Accelerating structured battery knowledge extraction with low-parameter models1Probing the limitations of multimodal language models for chemistry and materials research39Use of Large Language Models for Extracting and Analyzing Data from Heterogeneous Catalysis Literature18Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study6Finding the dark matter: Large language model‐based enzyme kinetic data extractor and its validation9Automating Data Extraction From Scientific Literature and General PDF Files Using Large Language Models and KNIME : An Application in Toxicology9Co-intelligent Design of Catalysis Research with Large Language Models: Hype or Reality?5Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 20240ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining14Distilling Knowledge from Catalysis Literature with Long-Context Large Language Model Agents24Do LLMs Understand Why We Write Diaries? A Method for Purpose Extraction and Clustering0Empowering Chemistry Experts with Large Language Models for Literature Interpretation in Single‐Atom Catalysis Toward Advanced Oxidation3Empowering Chemistry Experts with Large Language Models for Literature Interpretation in Single‐Atom Catalysis Toward Advanced Oxidation15LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels2Digitale Chemie: Ein neues Zeitalter0Comparing the accuracy of AI-assisted data extraction versus human double extraction in evidence synthesis: a randomised controlled trial protocol3Data engineering for AI applications in energetic materials4Decoding the Buried Interface: A Synergistic Framework for Mastering the Core Challenges of Solid‐State Batteries6Machine learning accelerated data generation, process modelling and system optimization for biomass conversion and valorization16MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research32Role of Peptides in Skeletal Muscle Wasting: A Scoping Review6Identifying Biomedical Entities for Datasets in Scientific Articles: 4-Step Cache-Augmented Generation Approach Using GPT-4o and PubTator 3.04Towards greener-by-design fine chemicals. Part 2: technological frontiers12Bridging the synthesizability gap in perovskites by combining computations, literature data, and PU learning1Practical guide for food scientists to build AI: data, algorithms, and applications10Data-driven curation of organometallic precursor boiling points via natural language processing0Optimizing data extraction from materials science literature: a study of tools using large language models7Large Language Models (LLMs) for Materials Design14MaterialBrain: High-Performance Material Synthesis Extraction via Human–AI-Curated Few-Shot Large Language Models2A fine-tuned large language model approach for compound information extraction0AI-Powered Standard Operating Procedure Generation and Optimization Using Large Language Models for Chemical Laboratory Applications1An Automated Extraction System for Material Chemistry Experimental Protocols0Chat-RFB: a flow battery chat system leveraging knowledge graphs and large language models2Clever materials: when models identify good materials for the wrong reasons0Domain-adapted discovery of PET depolymerisation routes using in-house curated scientific literature0From Regulatory Text to Structured Data: A Domain-Specific LLM Framework for Extracting Hydropower Operational Constraints0From Regulatory Text to Structured Data: A Domain-Specific LLM Framework for Extracting Hydropower Operational Constraints0Interpretable, low-compute machine learning integrating experimental and catalytic descriptors for sustainable CO 2 electroreduction1Journal research data policies in materials science0MOFReasoner: think like a scientist—a reasoning large language model via knowledge distillation2Research Progress of Machine Learning in Surfactant Performance Prediction and Design1SmartCIF: a context-aware multi-agent system for automated preprocessing and curation of MOF CIFs1Toward self-driving laboratory 2.0 for chemistry and materials discovery15Predictive Chemical Kinetic Modeling: Where We Succeed, Where We Struggle, and What Comes Next14A general LLM-powered text mining framework: Applied to extract high entropy alloys4Towards Practical Ethics for AI1Applications of machine learning-based quantitative structure activity relationship (ML-QSAR) models in environmental science7Accelerating catalytic process optimization for water treatment via automated knowledge extraction and machine learning7General-Purpose Models for the Chemical Sciences: LLMs and Beyond6AI for materials: leading a new era in materials development0Machine learning unveils three layers of food complexity8Verifying LLM-extracted text with token alignment0Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy3DT-MIM: A network suitable for alloy microstructure evolution prediction and characterization0Boosting Computational Catalysis and Chemical Reactivity with Artificial Intelligence12Use of Machine Learning and Large Language Models in Chemical Information Extraction0A family of large language models for materials research with insights into model adaptability in continued pretraining6DressingGraphRAG: A domain-specific research assistant integrating GraphRAG and LLMs for wound dressing research1Large language model-based topic modeling for analyzing research trends in polymer science literature2New Opportunities For the Integration of Artificial Intelligence With Materials Science: From Large Language Models to Embodied Large Models2Unveiling the correlation between high-entropy alloy element systems and electrocatalytic activity7Mining Multimodal Fatigue Data Using Reasoning Foundation Models and Formalized Domain Knowledge0Sodium-ion Batteries: A comprehensive review of materials chemistry, interfacial challenges, and industrialization progress1Democratizing AI‐Enhanced Experimental Optimization: An Accessible Workflow for Chemists0schema-miner pro: Agentic AI for Ontology Grounding Over LLM-Discovered Scientific Schemas in a Human-in-the-Loop Workflow2Toward the intelligent robotics era: Multimodal flexible haptic sensors for advanced perception systems7Transforming the cytokine literature into a resource for experimental analysis and discovery0CurveHunter: A Multi-Agent Vision-Language System for Automated Adsorption Isotherm Curve Extraction0Automatic Workflow for Chemical Reaction Data Processing: A Case Study of Suzuki Reactions0KnowMat: An Agentic Approach to Transforming Unstructured Materials Science Literature into Structured Data1NMR-Challenge for LLMs: Evaluating Chemical Reasoning in Humans and AI3A survey of agentic materials science and engineering: where are we and where are we going?0Accelerating Perovskite Solar Cell Development Through High‐Throughput Technologies: Computational Simulation, Automated Experimentation, and Intelligent Integration0Information extraction for materials science using large language models: A survey of recent advances and new frontiers1From unstructured to structured: opportunities, risks and engineering practices for LLM-based data extraction in chemistry and materials4A Large-Scale Nanocrystal Database with Aligned Synthesis and Properties, Enabling Generative Inverse Design0Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design0LC Agent: Toward AI-Driven Recommendation of Liquid Chromatography Conditions for Chemical Reactions0Librarian of Alexandria: A Modular Chemical Data Extraction Pipeline to Compare LLM Performance0Challenges and Vision for Standardization of Biopolymer Data Sets for Machine Learning0Multimodal Machine Learning Models on Aqueous Direct Photodisappearance Rate Constants of Chemicals Exhibit Previously Unattainable Performance1Design and realization of high performance textured lead-free piezoelectric ceramics through human-AI collaboration1Structure-function relationship and intelligent regulation of polysaccharide and protein-based hydrogels in food fresh-keeping packaging: A review2Automated Extraction of Parameters from Optical Transceiver Datasheets using Multi-Stage LLM Pipeline0ChemRANG: Building AI-ready datasets via mechanism-informed curation to learn reaction feasibility boundaries0From engineering knowledge to engineering decisions: The emerging role of large language models in process systems engineering0Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction0Literature Screening and Knowledge Extraction via Domain-Adaptive Transfer Learning with Large Language Models0From Chatbots to Chemists: Autonomous Agents for Heterogeneous Catalysis0Can LLMs Solve Solubility Tasks? The SoluBench Benchmark for Pure and Mixed Solvent Systems0Intelligent Agent-Driven Design of Dynamically Reconstructed Metal-Organic Frameworks toward Industrial-Scale Anion-Exchange-Membrane Water Electrolysis1To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity0From literature to knowledge graphs: automated extraction and retrieval of life cycle assessment data with large language models1Information extraction from literature for ORR catalyst in fuel cell0LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems0Matching Artificial Intelligence Methods to Research Problems in Medical Informatics0Evaluating AI Agent prompting and fine-tuning strategies for structured data extraction from industrial PDFs0From prediction to realization: large language models and AI agents for inorganic materials discovery1New Frontiers in Single-Atom Catalysis: Active-Site Dynamics and AI-Enabled Design1A GPT-Driven De Novo Discovery of SIRT2 Inhibitors Against Breast Cancer0Harnessing Machine Learning to Enhance UV-based Advanced Oxidation Processes for Sustainable Micropollutant Abatement0A domain-enhanced multi-agent framework for trustworthy literature screening in water research0Human-in-the-loop AI in analytical chemistry: a critical review from large language models to agentic systems0Large language model-guided high-throughput screening for accelerated discovery of Pt-based high-entropy electrocatalysts0Aromatic Heterocycle Ligands for Perovskite Photovoltaics: Balancing Defect Passivation and Heterostructure Formation0Large language models for environmental research: systematic literature screening, relational knowledge mining, and quantitative data extraction0A reflection-enhanced LLM literature-to-design framework for surrogate-guided inverse design of high-entropy alloys0Progress and prospects of amine-based chemical absorption for post-combustion CO2 capture in thermal power plants0Toward trustworthy LLM-based scientific information extraction: An ontology-guided, validation-aware workflow and a single-domain case study0MXLLM: An integrated literature-to-experiment framework for MXene electromagnetic absorbers0Logical Structure Aware Multi-relation Extraction for Materials Scientific Literature0Artificial Intelligence in Organic Synthesis0Large Language Model-Assisted Development of Reliable Machine Learning Models for Hydrogen Evolution Reaction Catalysts0Biodegradable electronic materials and devices0Photothermal‐Seek: Literature‐Grounded Knowledge Graphs for Discovering High‐Performance Solar Evaporators0AI algorithms empowered terahertz functional devices design and perception applications0Toward Autonomous Extraction and Building of Machine-Readable Molecular Models from Publications Using Large Language Models0Digital twins for energy wells through multiscale physics-data fusion: Review, challenges, and a conceptual framework0Datasets for AI‐Driven Energetic Materials Research: Construction, Progress, and Challenges0

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

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

  1. Latent Variable Leakage in Materials AI: A Conceptual Risk Framework

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

    Fatima Zahra Amrani, Youssef Benali

    Read original paper ↗ ·

  2. Primacy Effect or Recency Effect? The Interplay of Travel Duration and Hedonic Trends in Multi-Destination Tourism

    Journal of Travel Research · 2024-12-29

    Yizhi Liu, Yizhi Liu, Yuhong Wang, Yu Liu, Yu Liu

    Read original paper ↗ ·

  3. Beyond self-report surveys: Leveraging multimodal large language models (MLLMs) for farmers market data harvesting from public digital resources

    Journal of Agriculture Food Systems and Community Development · 2025-01-01

    Huy Pham, Yue Cui

    Read original paper ↗ ·

  4. Can large language models predict the hydrophobicity of metal–organic frameworks?

    Journal of Materials Chemistry A · 2025-01-01

    Xiaoyu Wu, Jianwen Jiang

    Read original paper ↗ ·

  5. Current status and perspective of metal-free materials as catalysts in acetylene hydrochlorination: active site, dopant, and mechanism

    Chemical Communications · 2025-01-01

    Huijie Wang, LingLing Shang, Baiyu Wang, Xiaoying Sun, Bo Li

    Read original paper ↗ ·

  6. DT-MIM: A network suitable for alloy microstructure evolution prediction and characterization

    SSRN Electronic Journal · 2025-01-01

    Yue‐Fei Zhang, Ze Sheng Lu, Jianli Zhou, Jiahao Li, Ao Liu, Ze Zhang

    Read original paper ↗ ·

  7. Extraction of chemical synthesis information using the World Avatar

    Digital Discovery · 2025-01-01

    Simon D. Rihm, Fabio Saluz, Aleksandar Kondinski, Jiaru Bai, Patrick W. V. Butler, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

    Read original paper ↗ ·

  8. NMRExtractor: leveraging large language models to construct an experimental NMR database from open-source scientific publications

    Chemical Science · 2025-01-01

    Qinggong Wang, Wei Zhang, Mingan Chen, Xutong Li, Zhaoping Xiong, Jiacheng Xiong, Zunyun Fu, Mingyue Zheng

    Read original paper ↗ ·

  9. Text mining in MOF research: from manual curation to large language model-based automation

    Chemical Communications · 2025-01-01

    Suyeon Bae, Mingyu Jeon, Hoi Ri Moon

    Read original paper ↗ ·

  10. Advances in innovative extraction techniques for polysaccharides, peptides, and polyphenols from distillery by-products: Common extraction techniques, emerging technologies, and AI-driven optimization

    Food Chemistry · 2025-02-18

    Kouadio Jean Eric‐Parfait Kouamé, Ebenezer Ola Falade, Yanyun Zhu, Yunyun Zheng, Xingqian Ye

    Read original paper ↗ ·

  11. From pages to patterns: Towards extracting catalytic knowledge from structure and text for transition-metal complexes and metal-organic frameworks

    Journal of Catalysis · 2025-05-02

    Aditya Nandy

    Read original paper ↗ ·

  12. Empowering Generalist Material Intelligence with Large Language Models

    Advanced Materials · 2025-05-12

    Wenhao Yuan, Guangyao Chen, Zhilong Wang, Fengqi You

    Read original paper ↗ ·

  13. A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists

    Nature Chemistry · 2025-05-20

    Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Martiño Ríos-García, Benedict Emoekabu, Aswanth Krishnan, Tanya Gupta, Mara Schilling-Wilhelmi, Macjonathan Okereke, Anagha Aneesh, Mehrdad Asgari, Juliane Eberhardt, Amir Mohammad Elahi, Hani M. Elbeheiry, M.V. Gil, Christina Glaubitz, Maximilian Greiner, Caroline T. Holick, Tim Hoffmann, Abdelrahman Ibrahim, Lea C. Klepsch, Yannik Köster, Fabian Alexander Kreth, Jakob Meyer, Santiago Miret, Jan Matthias Peschel, Michael Ringleb, Nicole C. Roesner, Johanna Schreiber, Ulrich S. Schubert, Leanne M. Stafast, A. D. Dinga Wonanke, Michael Pieler, Philippe Schwaller, Kevin Maik Jablonka

    Read original paper ↗ ·

  14. Rapid SERS Analysis: From Laboratory to Real Sample

    ACS Applied Materials & Interfaces · 2025-06-02

    Haoyu Guo, Shengfu Zhi, Zeyu Zhao, Tianchu Gao, Hao Ma, Si-Heng Luo, Wei Zhang, Ping Guo, Bin W. Ren, Zhong‐Qun Tian, Guokun Liu

    Read original paper ↗ ·

  15. Unlocking deep eutectic solvent knowledge through a large language model-driven framework and an interactive AI agent

    Green Chemical Engineering · 2025-06-05

    Xiting Peng, Yi Shen Tew, Kai Zhao, Chi Wang, Ren’ai Li, Shanying Hu, Xiaonan Wang

    Read original paper ↗ ·

  16. Artificial Intelligence Paradigms for Next-Generation Metal–Organic Framework Research

    Journal of the American Chemical Society · 2025-06-24

    Aydın Özcan, François‐Xavier Coudert, Sven M. J. Rogge, Greta Heydenrych, Dong Fan, Antonios P. Sarikas, Seda Keskın, Guillaume Maurin, George E. Froudakis, Stefan Wuttke, İlknur Eruçar

    Read original paper ↗ ·

  17. Automated construction of inorganic materials databases and materials discovery based on large language models

    Journal of Computational Methods in Sciences and Engineering · 2025-06-25

    Tianrui Yang

    Read original paper ↗ ·

  18. The converging moment of chemistry and artificial intelligence: a review and outlook

    Scientia Sinica Chimica · 2025-06-25

    Wei Zhang, Yidong Zhang, Jiacheng Xiong, Mingyue Zheng, Kaixian Chen

    Read original paper ↗ ·

  19. Software implementation of probabilistic-deterministic design of a chemical experiment on R

    BULLETIN of the L N Gumilyov Eurasian National University Chemistry Geography Ecology Series · 2025-06-30

    Vitaliy N. Fomin

    Read original paper ↗ ·

  20. Chemistries Moonshot: An Entirely Recyclable Car

    ACS Central Science · 2025-07-02

    Robin M. Schoemaker, Chunning Sun, Davide Chiarugi, Theodore Tyrikos‐Ergas, Peter H. Seeberger

    Read original paper ↗ ·

  21. Implementation of an open chemistry knowledge base with a Semantic Wiki

    Journal of Cheminformatics · 2025-07-06

    Charlotte Neidiger, Tarek Saier, Kai Kühn, Victor Larignon, Michael Färber, Claudia Bizzarri, Helena Šimek, Laura Holzhauer, Michael A. Erdmann, An Nguyen, Dean Harvey, Pierre Tremouilhac, Claudia Kramer, Daniel Hansch, Fabian Schönle, Jana Alpin, Maximilian Hartmann, Jérome Wagner, Nicole Jung, Stefan Bräse

    Read original paper ↗ ·

  22. Enabling large language models for real-world materials discovery

    Nature Machine Intelligence · 2025-07-10

    Santiago Miret, N. M. Anoop Krishnan

    Read original paper ↗ ·

  23. Uncertainty-Informed Screening for Safer Solvents Used in the Synthesis of Perovskites via Language Models

    Journal of Chemical Information and Modeling · 2025-07-22

    Arpan Mukherjee, Deepesh Giri, Krishna Rajan

    Read original paper ↗ ·

  24. Cognition-enhanced instruction framework: Accelerating structured battery knowledge extraction with low-parameter models

    Journal of Energy Chemistry · 2025-07-30

    Yuejiu Zheng, Suran Li, Zhiyong Liu, Yi Duo Wang, Dongxu Guo, Yu Wang, Xuebing Han, Minggao Ouyang

    Read original paper ↗ ·

  25. Probing the limitations of multimodal language models for chemistry and materials research

    Nature Computational Science · 2025-08-11

    Nawaf Alampara, Mara Schilling-Wilhelmi, Martiño Ríos-García, Indrajeet Mandal, Pranav Khetarpal, Hargun Singh Grover, N. M. Anoop Krishnan, Kevin Maik Jablonka

    Read original paper ↗ ·

  26. Use of Large Language Models for Extracting and Analyzing Data from Heterogeneous Catalysis Literature

    ACS Catalysis · 2025-08-11

    Benjamin W. Walls, Suljo Linic

    Read original paper ↗ ·

  27. Automated Literature Screening for Hepatocellular Carcinoma Treatment Through Integration of 3 Large Language Models: Methodological Study

    JMIR Medical Informatics · 2025-08-15

    Chen Pan, Wei Lu, Bingliang Chen, Gang Zhang, Zhiming Yang, Jingcheng Hao

    Read original paper ↗ ·

  28. Finding the dark matter: Large language model‐based enzyme kinetic data extractor and its validation

    Protein Science · 2025-08-15

    Galen Wei, Xinchun Ran, Runeem Al-Abssi, Zhongyue John Yang

    Read original paper ↗ ·

  29. Automating Data Extraction From Scientific Literature and General PDF Files Using Large Language Models and KNIME : An Application in Toxicology

    Wiley Interdisciplinary Reviews Computational Molecular Science · 2025-09-01

    José Teófilo Moreira‐Filho, Dhruv Ranganath, Ricardo Scheufen Tieghi, Robert M. Patton, Vicki L. Sutherland, Charles Schmitt, Andrew A. Rooney, Jennifer M. Fostel, Vickie R. Walker, Trey O Saddler, David M. Reif, Kamel Mansouri, Nicole Kleinstreuer

    Read original paper ↗ ·

  30. Co-intelligent Design of Catalysis Research with Large Language Models: Hype or Reality?

    ACS Catalysis · 2025-09-10

    David Balcells

    Read original paper ↗ ·

  31. Perspective on artificial intelligence for accelerated materials design (AI4Mat) workshops in 2024

    Machine Learning Science and Technology · 2025-09-30

    Santiago Miret, Marta Skreta, Geemi P. Wellawatte, Stefano Martiniani, N. M. Anoop Krishnan, George Karypis, Kevin Maik Jablonka

    Read original paper ↗ ·

  32. ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining

    IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2025-10-19

    Kexin Chen, Yuyang Du, Junyou Li, Hanqun Cao, Menghao Guo, Xilin Dang, Lanqing Li, Jiezhong Qiu, Guangyong Chen, Pheng‐Ann Heng

    Read original paper ↗ ·

  33. Distilling Knowledge from Catalysis Literature with Long-Context Large Language Model Agents

    ACS Catalysis · 2025-10-20

    Honghao Chen, Hongxuan Liu, Yishen Tew, Xiaotian Ren, Xiaojin Tang, Xiaonan Wang

    Read original paper ↗ ·

  34. Do LLMs Understand Why We Write Diaries? A Method for Purpose Extraction and Clustering

    Communications in computer and information science · 2025-10-20

    Валерия Сергеевна Головизнина, Alexander Sergeev, Mikhail Melnichenko, Евгений Вячеславович Котельников

    Read original paper ↗ ·

  35. Empowering Chemistry Experts with Large Language Models for Literature Interpretation in Single‐Atom Catalysis Toward Advanced Oxidation

    Angewandte Chemie · 2025-10-23

    Jing‐Hang Wu, Ran Shi, Xiao Yan Zhou, Liang Zhang, Kong Chen, Han‐Qing Yu, Yuen Shing Wu

    Read original paper ↗ ·

  36. Empowering Chemistry Experts with Large Language Models for Literature Interpretation in Single‐Atom Catalysis Toward Advanced Oxidation

    Angewandte Chemie International Edition · 2025-10-23

    Jing‐Hang Wu, Ran Shi, Xiao Yan Zhou, Liang Zhang, Kong Chen, Han‐Qing Yu, Yuen Shing Wu

    Read original paper ↗ ·

  37. LLMs and NLP integration enables ion irradiation-induced swelling prediction in stainless steels

    Journal of Nuclear Materials · 2025-10-25

    Jian Zhou, Weiren Wang, Xue Feng Jiang, Bing Bai, Yanjing Su

    Read original paper ↗ ·

  38. Digitale Chemie: Ein neues Zeitalter

    Nachrichten aus der Chemie · 2025-10-30

    Jan Leodolter, Simon D. Rihm, Markus Kraft, Aleksandar Kondinski

    Read original paper ↗ ·

  39. Comparing the accuracy of AI-assisted data extraction versus human double extraction in evidence synthesis: a randomised controlled trial protocol

    BMJ Open · 2025-11-01

    Zhen Peng, Shiqi Fan, Yuan Yu Tian, Yingxia Wang, Zongshi Qin, Suhail A.R. Doi, Chang Xu

    Read original paper ↗ ·

  40. Data engineering for AI applications in energetic materials

    FirePhysChem · 2025-11-01

    Xiaowei Zang, Quan Feng, Peng Zhu, Yinghua Ye, Ruiqi Shen

    Read original paper ↗ ·

  41. Decoding the Buried Interface: A Synergistic Framework for Mastering the Core Challenges of Solid‐State Batteries

    Small · 2025-11-02

    Weiheng Chen, Weiheng Chen, Jialong Wu, Ling Li, Xiaoping Chen, Thandavarayan Maiyalagan, Wenhua Chen, Wenhua Chen, Zhongqing Jiang

    Read original paper ↗ ·

  42. Machine learning accelerated data generation, process modelling and system optimization for biomass conversion and valorization

    Renewable and Sustainable Energy Reviews · 2025-11-03

    Peng Jiang, Chenhan Wang, Wenjie She, Wenkai Ye, Yinchen Li, Tuo Ji, Liwen Mu, Xiaohua Lu, Jiahua Zhu

    Read original paper ↗ ·

  43. MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research

    Journal of the American Chemical Society · 2025-11-10

    Thomas Michael Pruyn, Amro Aswad, Sartaaj Takrim Khan, Ju Hua Huang, Robert Black, Seyed Mohamad Moosavi

    Read original paper ↗ ·

  44. Role of Peptides in Skeletal Muscle Wasting: A Scoping Review

    Journal of Cachexia Sarcopenia and Muscle · 2025-11-13

    Petar Naumovski, Bart M. J. De Spiegeleer, Aster Wakjira Garedow, Christophe Van de Wiele, Vincent Mouly, Katarzyna Goljanek‐Whysall, Kauê Santana da Costa, Ewerton Cristhian Lima de Oliveira, Evelien Wynendaele, Anton De Spiegeleer

    Read original paper ↗ ·

  45. Identifying Biomedical Entities for Datasets in Scientific Articles: 4-Step Cache-Augmented Generation Approach Using GPT-4o and PubTator 3.0

    JMIR Formative Research · 2025-11-20

    Claudia Giuliani, Gita Benadi, Felix Engel, Jonas Werner, Manuel Watter, Guido Schwarzer, Olaf Groß, Robert Zeiser, Harald Binder, Klaus Kaier

    Read original paper ↗ ·

  46. Towards greener-by-design fine chemicals. Part 2: technological frontiers

    Chemical Society Reviews · 2025-11-20

    Theodore A. Gazis, Rodolfo I. Teixeira, Giulio Volpin, Ashish Yewale, Mert Can Ince, Mark James Ford, Jan Harmsen, Marco Uboldi, Alice Melocchi, Mattia Sponchioni, Andrea Aramini, Renzo Luisi, Brahim Benyahia, Gianvito Vilé

    Read original paper ↗ ·

  47. Bridging the synthesizability gap in perovskites by combining computations, literature data, and PU learning

    Machine Learning Science and Technology · 2025-11-24

    Rushik Desai, Junyeong Ahn, Alejandro H. Strachan, Arun Mannodi‐Kanakkithodi

    Read original paper ↗ ·

  48. Practical guide for food scientists to build AI: data, algorithms, and applications

    Food Chemistry · 2025-11-25

    Dachuan Zhang

    Read original paper ↗ ·

  49. Data-driven curation of organometallic precursor boiling points via natural language processing

    Materials & Design · 2025-12-01

    Jungjae Hwang, Taehyun Park, Jinyoung Jeong, Seungpyo Kang, Junho Song, Jonghyuk Kim, Ahhyun Jeong, Woojin Shin, Jungim Han, Joonghee Won, Kyoungmin Min

    Read original paper ↗ ·

  50. Optimizing data extraction from materials science literature: a study of tools using large language models

    Digital Discovery · 2025-12-10

    Wenkai Ning, Musen Li, Jeffrey R. Reimers, Rika Kobayashi

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