AI-Powered Innovation in Materials Science The Role of Language Models in Discovery and Design.
Accelerate materials innovation using language models and machine learning methods Language models and machine learning are transforming how researchers discover, design, and optimize advanced materials.
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| Format: | eBook |
| Language: | English |
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Newark :
John Wiley & Sons, Incorporated,
2026.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | Accelerate materials innovation using language models and machine learning methods Language models and machine learning are transforming how researchers discover, design, and optimize advanced materials. |
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| Item Description: | Description based upon print version of record. |
| Physical Description: | 1 online resource (594 p.) |
| Bibliography: | References -- Chapter 3: Reinforcement Learning in Materials -- 3.1 Introduction -- 3.1.1 The Basic Concepts of RL -- 3.1.2 The Development History of RL -- 3.2 Key Algorithm -- 3.2.1 Bellman Equation -- 3.2.2 Value-based Algorithm -- 3.2.3 Policy-based Algorithm -- 3.2.4 AC Methods -- 3.3 Typical Applications of RL -- 3.3.1 Applications of RL in Materials Science -- 3.3.2 Applications of RL in LLMs -- References -- Chapter 4: Materials Word Embedding Models -- 4.1 Introduction -- 4.2 Unsupervised Word Embeddings Capture Latent Knowledge References |
| ISBN: | 9783527855827 3527855823 |