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RESEARCH PAPER · APL Materials · 2023

Experimental data management platform for data-driven investigation of combinatorial alloy thin films

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11 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Experimental data management platform for data-driven investigation of combinatorial alloy thin filmsOriginalAI-Empowered Database Management Platform for New Materials Discovery for Consumer Electronics2Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor2Recent strategies for enhancing the performance and lifespan of low-cost ceramic membranes in water filtration and treatment processes: A review49Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties11Data-driven discovery of ultrahigh specific hardness alloys6Data-driven investigation of magnetostructural phase distributions in Mn-Fe-Ni-Si-Al alloy library4Machine learning in X-ray diffraction for materials discovery and characterization19Unveiling key descriptors for electrical resistivity of alloys using high-throughput experiments and explainable AI7Experimental Data Integration into ML Workflows for Real Alloys: A Review of Noisy, Sparse, and Heterogeneous Fusion0Sustaining the growth of the materials informatics ecosystem0Multimodal Transformer for Sample-Aware Prediction of Metal–Organic Framework Properties0

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  1. AI-Empowered Database Management Platform for New Materials Discovery for Consumer Electronics

    IEEE Consumer Communications & Networking Conference (CCNC) · 2023-01-08

    Taeyeop Kim, Jae‐Seong Lee, Jaeho Song, Dongwoo Lee, Jun-Chae Na, Sung-Il Yang, Kyong-Jin Park, Youngjin Yoo, Juhye M. Lee, Won-Yong Shin

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  2. Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor

    APL Materials · 2024-02-01

    Namyong Kwon, Joonho Bang, Won Ju Sung, Jung Hoon Han, Dongin Lee, Ilwoo Jung, Se Guen Park, Hyodong Ban, Sangjoon Hwang, Won Yong Shin, Jinhye Bae, Dongwoo Lee

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  3. Recent strategies for enhancing the performance and lifespan of low-cost ceramic membranes in water filtration and treatment processes: A review

    Journal of Water Process Engineering · 2024-05-01

    Najib Meftah Almukhtar Omar, Mohd Hafiz Dzarfan Othman, Zhong Sheng Tai, Tonni Agustiono Kurniawan, Mohd Hafiz Puteh, Juhana Jaafar, Mukhlis A. Rahman, Ahmad Fauzi Ismail, Natarajan Rajamohan, Huda Abdullah, Keng Yinn Wong

    Read original paper ↗ ·
  4. Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties

    The Journal of Physical Chemistry Letters · 2024-05-29

    Jiyeon Kim, Donggeon Lee, Dongwoo Lee, Xin Li, Yea‐Lee Lee, Sooran Kim

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  5. Data-driven discovery of ultrahigh specific hardness alloys

    Journal of Materials Research and Technology · 2024-11-01

    Taeyeop Kim, Wook Ha Ryu, Geun Hee Yoo, Donghyun Park, Ji Young Kim, Eun Soo Park, Dongwoo Lee

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  6. Data-driven investigation of magnetostructural phase distributions in Mn-Fe-Ni-Si-Al alloy library

    Journal of Alloys and Compounds · 2025-05-01

    Piljun Choi, Jinsu Lee, Joonho Bang, Ki Hoon Kang, Jong‐Woo Kim, Shraddha Ganorkar, Dongwoo Lee

    Read original paper ↗ ·
  7. Machine learning in X-ray diffraction for materials discovery and characterization

    Matter · 2025-09-01

    Connor Davel, Nazanin Bassiri‐Gharb, Juan‐Pablo Correa‐Baena

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  8. Unveiling key descriptors for electrical resistivity of alloys using high-throughput experiments and explainable AI

    npj Computational Materials · 2025-10-10

    Taeyeop Kim, Dongwoo Lee

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  9. Experimental Data Integration into ML Workflows for Real Alloys: A Review of Noisy, Sparse, and Heterogeneous Fusion

    Journal of Computational and Data-Driven Materials Engineering · 2026-01-01

    Hassan Rahman, Tariq Mahmood, Ali Raza

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  10. Sustaining the growth of the materials informatics ecosystem

    Elsevier eBooks · 2026-01-01

    Krishna Rajan

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  11. Multimodal Transformer for Sample-Aware Prediction of Metal–Organic Framework Properties

    ACS Central Science · 2026-09-01

    Seunghee Han, Jaewoong Lee, Jihan Kim

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