Janghoon Ock

According to our database, Janghoon Ock authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent.

Achuth Chandrasekhar, Janghoon Ock, Amir Barati Farimani

CoRR, March, 2026

Large Language Model Agent for Modular Task Execution in Drug Discovery.

Janghoon Ock, Radheesh Sharma Meda, Srivathsan Badrinarayanan, Neha S. Aluru, Achuth Chandrasekhar, Amir Barati Farimani

J. Chem. Inf. Model., 2026

2025

Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction.

Srivathsan Badrinarayanan, Yue Su, Janghoon Ock, Alan Pham, Sanya Ahuja, Amir Barati Farimani

CoRR, October, 2025

Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations.

Shagun Maheshwari, Janghoon Ock, Adeesh Kolluru, Amir Barati Farimani, John R. Kitchin

CoRR, June, 2025

NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research.

Achuth Chandrasekhar, Omid Barati Farimani, Olabode Ajenifujah, Janghoon Ock, Amir Barati Farimani

CoRR, February, 2025

Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction.

Ying-Ting Yeh, Janghoon Ock, Amir Barati Farimani

CoRR, January, 2025

LLM-guided chemical process optimization with a multi-agent approach.

Tong Zeng, Srivathsan Badrinarayanan, Janghoon Ock, Cheng-Kai Lai, Amir Barati Farimani

Mach. Learn. Sci. Technol., 2025

2024

Multimodal language and graph learning of adsorption configuration in catalysis.

Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Amir Barati Farimani

Nat. Mac. Intell., 2024

UniMat: Unifying Materials Embeddings through Multi-modal Learning.

Janghoon Ock, Joseph H. Montoya, Daniel Schweigert, Linda Hung, Santosh K. Suram, Weike Ye

CoRR, 2024

Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent.

Janghoon Ock, Tirtha Vinchurkar, Yayati Jadhav, Amir Barati Farimani

CoRR, 2024

Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis.

Tirtha Vinchurkar, Janghoon Ock, Amir Barati Farimani

CoRR, 2024

GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation.

Janghoon Ock, Parisa Mollaei, Amir Barati Farimani

CoRR, 2024

Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis.

Janghoon Ock, Rishikesh Magar, Akshay Antony, Amir Barati Farimani

CoRR, 2024

2023

Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models.

Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani

CoRR, 2023