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Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics (Adv. Mater. 10/2026)

Year: 2026

Type: article

Abstract: Active Learning In their Research Article (DOI: 10.1002/adma.202515054), Min-Wook Oh, Yeon Sik Jung, YongJoo Kim, and co-workers accelerate the discovery of high-entropy chalcogenides with zT > 2 via active learning. The framework pinpoints top materials in only 80 experiments out of 16 206 candidates (< 0.5% of the design space).

Source: Advanced Materials

DOI: 10.1002/adma.72275

Authors: Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim

Institutions: Korea Advanced Institute of Science and Technology, Seoul National University, Korea Research Institute of Standards and Science, Hanbat National University, Korea University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W7129277046

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