Copertina

Generative Language Model for Catalyst Discovery

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mok, Dong Hyeon, Back, Seoin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model Framework
di: Mok, Dong Hyeon, et al.
Pubblicazione: (2026)

Validating ΔΔG Selectivity Descriptor for Electrosynthesis of H2O2 from Oxygen Reduction Reaction
di: Dong Hyeon Mok, et al.
Pubblicazione: (2024)

Enhanced Fe IV ═O Generation via Peroxymonosulfate Activation by an Edge‐Site Engineered Single‐Atom Iron Catalyst
di: Donghyun Lee, et al.
Pubblicazione: (2025)

Lightweight Geometric Deep Learning for Molecular Modelling in Catalyst Discovery
di: Geitner, Patrick
Pubblicazione: (2024)

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
di: Li, Wenhu, et al.
Pubblicazione: (2025)

Generalized Category Discovery with Large Language Models in the Loop
di: An, Wenbin, et al.
Pubblicazione: (2023)

SMIXAE: Towards Unsupervised Manifold Discovery in Language Models
di: Francel, Collin
Pubblicazione: (2026)

REINFORCE-ING Chemical Language Models for Drug Discovery
di: Thomas, Morgan, et al.
Pubblicazione: (2025)

Sequential Causal Discovery with Noisy Language Model Priors
di: Verma, Prakhar, et al.
Pubblicazione: (2025)

Automated Statistical Model Discovery with Language Models
di: Li, Michael Y., et al.
Pubblicazione: (2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
di: Baek, In-Chang, et al.
Pubblicazione: (2025)

Bayesian Network Structure Discovery Using Large Language Models
di: Zhang, Yinghuan, et al.
Pubblicazione: (2025)

GoalLadder: Incremental Goal Discovery with Vision-Language Models
di: Zakharov, Alexey, et al.
Pubblicazione: (2025)

Generative Modeling for Mathematical Discovery
di: Ellenberg, Jordan S., et al.
Pubblicazione: (2025)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
di: Zhang, Yuzhe, et al.
Pubblicazione: (2024)

Active Slice Discovery in Large Language Models
di: Zhang, Minhui, et al.
Pubblicazione: (2025)

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
di: Xia, Yingce, et al.
Pubblicazione: (2025)

Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search
di: Ji, Junkai, et al.
Pubblicazione: (2025)

Leveraging Lightweight Generators for Memory Efficient Continual Learning
di: Lamers, Christiaan, et al.
Pubblicazione: (2025)

Conditional Chemical Language Models are Versatile Tools in Drug Discovery
di: Zhu, Lu, et al.
Pubblicazione: (2025)

EcoScaleNet: A Lightweight Multi Kernel Network for Long Sequence 12 lead ECG Classification
di: Kang, Dong-Hyeon, et al.
Pubblicazione: (2025)

Test-Time Compositional Generalization in Diffusion Models via Concept Discovery
di: Wang, Zekun, et al.
Pubblicazione: (2026)

LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models
di: Bideh, Amirmohammad Ziaei, et al.
Pubblicazione: (2026)

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
di: Majumder, Bodhisattwa Prasad, et al.
Pubblicazione: (2024)

A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
di: Wang, Ziqing, et al.
Pubblicazione: (2025)

Generative Chemical Language Models for Energetic Materials Discovery
di: Salij, Andrew, et al.
Pubblicazione: (2026)

Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
di: Jang, Won-Jun, et al.
Pubblicazione: (2025)

ARMA Block: A CNN-Based Autoregressive and Moving Average Module for Long-Term Time Series Forecasting
di: Kim, Myung Jin, et al.
Pubblicazione: (2025)

RelP: Faithful and Efficient Circuit Discovery in Language Models via Relevance Patching
di: Jafari, Farnoush Rezaei, et al.
Pubblicazione: (2025)

Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
di: Huang, Qi, et al.
Pubblicazione: (2024)

Large Language Models are Effective Priors for Causal Graph Discovery
di: Darvariu, Victor-Alexandru, et al.
Pubblicazione: (2024)

Automated Attention Pattern Discovery at Scale in Large Language Models
di: Katzy, Jonathan, et al.
Pubblicazione: (2026)

Causal Discovery from Data Assisted by Large Language Models
di: Barakati, Kamyar, et al.
Pubblicazione: (2025)

Role of Large Language Models and Retrieval-Augmented Generation for Accelerating Crystalline Material Discovery: A Systematic Review
di: Oche, Agada Joseph, et al.
Pubblicazione: (2025)

A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery
di: Semnani, Parastoo, et al.
Pubblicazione: (2024)

Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
di: Costa, Nuno, et al.
Pubblicazione: (2025)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
di: Kim, Jaekyeom, et al.
Pubblicazione: (2024)

Knowledge Boundary Discovery for Large Language Models
di: Wang, Ziquan, et al.
Pubblicazione: (2026)

A Generic Method for Fine-grained Category Discovery in Natural Language Texts
di: Tian, Chang, et al.
Pubblicazione: (2024)

Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model
di: Malusare, Aditya, et al.
Pubblicazione: (2024)