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‘Fighting fire with fire’ — using LLMs to combat LLM hallucinations
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Learning Electromagnetic Metamaterial Physics With ChatGPT
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Exploring the Educational Applications of Large Language Models: A Systematic Review and Topic Analysis
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Large language models predicting the corrosion inhibition efficiency of magnesium dissolution modulators
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Towards philosophical reasoning with agentic LLMs: Socratic method for scientific assistance
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Tackling Structured Knowledge Extraction from Polymer Nanocomposite Literature as an NER/RE Task with seq2seq
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Enhanced Chemical Reaction Mining through Combined Model Adaptation and Prompt Engineering
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AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
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Big data-driven machine learning transformation for atomic-scale heterogeneous catalyst design: a critical review
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Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use
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Boosting Computational Catalysis and Chemical Reactivity with Artificial Intelligence
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Mitigating Grand Challenges in Life Cycle Inventory Modeling through the Applications of Large Language Models
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Dara: Automated Multiple-Hypothesis Phase Identification and Refinement from Powder X-ray Diffraction
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ChatGPT Material Explorer: Design and Implementation of a Custom GPT Assistant for Materials Science Applications
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DuctGPT: A Generative Transformer for Forward Screening of Ductile Refractory Multi-Principal Element Alloys
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Constructing surrogates for atomistic simulations via deep learning and generative large language models
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ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis
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Knowledge-Informed Molecular Design for Zeolite Synthesis Using General-Purpose Pretrained Large Language Models Toward Human-Machine Collaboration
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Enabling large language models for real-world materials discovery
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Future-proofing geotechnics workflows: accelerating problem-solving with large language models
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Large Language Models as Spectrographic Assistants: Opportunities and Challenges in Laboratory Data Analysis
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Bridging Machine Learning and Thermodynamics for Accurate pKa Prediction
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Foundation models for materials discovery – current state and future directions
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An integrated AI system for multi-objective screening of MOF materials
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Large Language Model‐Assisted Additive Selection for Synergistic Defect and Crystallization Control in Efficient Inverted Perovskite Solar Cells
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Machine learning approaches for intentional materials engineering
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Interfacing Nanophotonics with Deep Neural Networks: AI for Photonic Design and Photonic Implementation of AI
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ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models
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Dynamic in-context learning with conversational models for data extraction and materials property prediction
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PDGPT: A large language model for acquiring phase diagram information in magnesium alloys
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MatMMFuse: Multimodal fusion model for material property prediction
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General-Purpose Models for the Chemical Sciences: LLMs and Beyond
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Quantum chemical package Jaguar: A survey of recent developments and unique features
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Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents
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Emerging Directions for Carbon Capture Technologies: A Synergy of High-Throughput Theoretical Calculations and Machine Learning
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Automating alloy design and discovery with physics-aware multimodal multiagent AI
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Generative AI and process systems engineering: The next frontier
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AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
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Mapping of specialized metabolite terms onto a plant phylogeny using text mining and large language models
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Artificial Intelligence Paradigms for Next-Generation Metal–Organic Framework Research
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Understanding and optimization of large language models for corrosion inhibition efficiency prediction
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Data-driven prediction of solid state reaction pathways in the synthesis of ferrites
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From pages to patterns: Towards extracting catalytic knowledge from structure and text for transition-metal complexes and metal-organic frameworks
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Probing the limitations of multimodal language models for chemistry and materials research
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Large Language Model Evaluation Criteria Framework in Healthcare: Fuzzy MCDM Approach
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Large Language Models for Inorganic Synthesis Predictions
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A fine-tuned large language model based molecular dynamics agent for code generation to obtain material thermodynamic parameters
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Structured information extraction from scientific text with large language models
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ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development
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A framework for evaluating the chemical knowledge and reasoning abilities of large language models against the expertise of chemists
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Enhancing magnetocaloric material discovery: A machine learning approach using an autogenerated database by large language models
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Beyond designer's knowledge: Generating materials design hypotheses via a large language model
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32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery
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From Words to Frameworks: Transformer Models for Metal–Organic Framework Design in Nanotheranostics
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Generative LLMs in Organic Chemistry: Transforming Esterification Reactions into Natural Language Procedures
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Autogenerating a Domain-Specific Question-Answering Data Set from a Thermoelectric Materials Database to Enable High-Performing BERT Models
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Accelerating materials recipe acquisition via LLM-mediated reinforcement learning
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Opportunities for retrieval and tool augmented large language models in scientific facilities
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Nodeology: Creating Graph-based Agentic Workflows for AI-Assisted Electron Microscopy
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aLLoyM: a large language model for alloy phase diagram prediction
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Harnessing Large Language Models to Collect and Analyze Metal–Organic Framework Property Data Set
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Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
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Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling
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Crystal structure generation with autoregressive large language modeling
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