Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis
Fuente:
arXiv
Saved in:
| Main Authors: | Nair, Akhil S., Foppa, Lucas, Scheffler, Matthias |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Materials Database from All-electron Hybrid Functional DFT Calculations
by: Nair, Akhil S., et al.
Published: (2025)
by: Nair, Akhil S., et al.
Published: (2025)
A Critical Examination of Active Learning Workflows in Materials Science
by: Nair, Akhil S., et al.
Published: (2026)
by: Nair, Akhil S., et al.
Published: (2026)
Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups
by: Foppa, Lucas, et al.
Published: (2024)
by: Foppa, Lucas, et al.
Published: (2024)
Unveiling the Core of Materials Properties via SISSO and Sensitivity Analysis
by: Foppa, Lucas, et al.
Published: (2026)
by: Foppa, Lucas, et al.
Published: (2026)
Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization
by: Schwarting, Marcus, et al.
Published: (2025)
by: Schwarting, Marcus, et al.
Published: (2025)
Sustainable Materials Discovery in the Era of Artificial Intelligence
by: Mannan, Sajid, et al.
Published: (2026)
by: Mannan, Sajid, et al.
Published: (2026)
Operationalizing Serendipity: Multi-Agent AI Workflows for Enhanced Materials Characterization with Theory-in-the-Loop
by: Yao, Lance, et al.
Published: (2025)
by: Yao, Lance, et al.
Published: (2025)
"DIVE" into Hydrogen Storage Materials Discovery with AI Agents
by: Zhang, Di, et al.
Published: (2025)
by: Zhang, Di, et al.
Published: (2025)
Guided Diffusion for the Discovery of New Superconductors
by: Prakash, Pawan, et al.
Published: (2025)
by: Prakash, Pawan, et al.
Published: (2025)
AI-accelerated Discovery of Altermagnetic Materials
by: Gao, Ze-Feng, et al.
Published: (2023)
by: Gao, Ze-Feng, et al.
Published: (2023)
Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships
by: Lambard, Guillaume
Published: (2026)
by: Lambard, Guillaume
Published: (2026)
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials - A review
by: Nematov, Dilshod, et al.
Published: (2025)
by: Nematov, Dilshod, et al.
Published: (2025)
LLMatDesign: Autonomous Materials Discovery with Large Language Models
by: Jia, Shuyi, et al.
Published: (2024)
by: Jia, Shuyi, et al.
Published: (2024)
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
by: Ding, Qianggang, et al.
Published: (2024)
by: Ding, Qianggang, et al.
Published: (2024)
Artificial Intelligence and Generative Models for Materials Discovery -- A Review
by: Handoko, Albertus Denny, et al.
Published: (2025)
by: Handoko, Albertus Denny, et al.
Published: (2025)
Aligning Reasoning LLMs for Materials Discovery with Physics-aware Rejection Sampling
by: Hyun, Lee, et al.
Published: (2025)
by: Hyun, Lee, et al.
Published: (2025)
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists
by: Zhou, Lianhao, et al.
Published: (2025)
by: Zhou, Lianhao, et al.
Published: (2025)
LLM-Fusion: A Novel Multimodal Fusion Model for Accelerated Material Discovery
by: Boyar, Onur, et al.
Published: (2025)
by: Boyar, Onur, et al.
Published: (2025)
PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
by: Lai, Zheyuan, et al.
Published: (2025)
by: Lai, Zheyuan, et al.
Published: (2025)
Are LLMs Ready for Real-World Materials Discovery?
by: Miret, Santiago, et al.
Published: (2024)
by: Miret, Santiago, et al.
Published: (2024)
AI-Guided Discovery of Novel Ionic Liquid Solvents for Industrial CO2 Capture
by: Garbelotto, Davide, et al.
Published: (2026)
by: Garbelotto, Davide, et al.
Published: (2026)
Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Generative Discovery of Magnetic Insulators under Competing Physical Constraints
by: Zeng, Qiulin, et al.
Published: (2026)
by: Zeng, Qiulin, et al.
Published: (2026)
LLM Agents for Knowledge Discovery in Atomic Layer Processing
by: Werbrouck, Andreas, et al.
Published: (2025)
by: Werbrouck, Andreas, et al.
Published: (2025)
Multi-AI Agent Framework Reveals the "Oxide Gatekeeper" in Aluminum Nanoparticle Oxidation
by: Lu, Yiming, et al.
Published: (2025)
by: Lu, Yiming, et al.
Published: (2025)
MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery
by: Kong, Lingyu, et al.
Published: (2025)
by: Kong, Lingyu, et al.
Published: (2025)
Generative Hierarchical Materials Search
by: Yang, Sherry, et al.
Published: (2024)
by: Yang, Sherry, et al.
Published: (2024)
Discovery of Interpretable Physical Laws in Materials via Language-Model-Guided Symbolic Regression
by: Guan, Yifeng, et al.
Published: (2026)
by: Guan, Yifeng, et al.
Published: (2026)
LLM-Driven Discovery of High-Entropy Catalysts via Retrieval-Augmented Generation
by: Scientists, AI, et al.
Published: (2026)
by: Scientists, AI, et al.
Published: (2026)
An Agentic Framework for Autonomous Materials Computation
by: Xia, Zeyu, et al.
Published: (2025)
by: Xia, Zeyu, et al.
Published: (2025)
Towards Agentic Intelligence for Materials Science
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence
by: Zhang, Shiyun, et al.
Published: (2026)
by: Zhang, Shiyun, et al.
Published: (2026)
Artificial Intelligence in Concrete Materials: A Scientometric View
by: Li, Zhanzhao, et al.
Published: (2022)
by: Li, Zhanzhao, et al.
Published: (2022)
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks
by: Zhou, Zhenhao, et al.
Published: (2025)
by: Zhou, Zhenhao, et al.
Published: (2025)
LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery
by: Peivaste, Iman, et al.
Published: (2026)
by: Peivaste, Iman, et al.
Published: (2026)
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials
by: Ihsan, Ahmad Zainul, et al.
Published: (2024)
by: Ihsan, Ahmad Zainul, et al.
Published: (2024)
A Generation Framework with Strict Constraints for Crystal Materials Design
by: Huang, Chao, et al.
Published: (2024)
by: Huang, Chao, et al.
Published: (2024)
QMBench: A Research Level Benchmark for Quantum Materials Research
by: Wang, Yanzhen, et al.
Published: (2025)
by: Wang, Yanzhen, et al.
Published: (2025)
PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation
by: Schlesinger, Claire, et al.
Published: (2026)
by: Schlesinger, Claire, et al.
Published: (2026)
Similar Items
-
Materials Database from All-electron Hybrid Functional DFT Calculations
by: Nair, Akhil S., et al.
Published: (2025) -
A Critical Examination of Active Learning Workflows in Materials Science
by: Nair, Akhil S., et al.
Published: (2026) -
Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups
by: Foppa, Lucas, et al.
Published: (2024) -
Unveiling the Core of Materials Properties via SISSO and Sensitivity Analysis
by: Foppa, Lucas, et al.
Published: (2026) -
Steering an Active Learning Workflow Towards Novel Materials Discovery via Queue Prioritization
by: Schwarting, Marcus, et al.
Published: (2025)