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LearnFlat · AI Applications (Interdisciplinary) · AI for Scientific Research

AI for Materials Discovery

Leverage AI to design and discover novel materials with specific properties, accelerating innovation in fields from batteries to semiconductors.

1389 courses

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Machine Learning for Electronic Design Automation

★ 4.1 (217)
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Introduction to Plasmonics and Nanophotonics

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Introduction to Nanomagnetism and Spintronics

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Introduction to Magnetic Materials and Magnetocaloric Applications

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Introduction to Nanoelectronics and Quantum Devices

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Introduction to Smart Magnetorheological Materials and Multiferroics

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Essential Materials Science for Modern Engineering

★ 4.7 (4 526)
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Nanotechnology for Makers: Nanofabrication and Characterization Basics

★ 4.8 (3 127)
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Material Behavior: Properties and Microstructure

★ 4.8 (1 309)
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Organic Solar Cells: Theory and Practical Applications

★ 4.7 (1 238)
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Foundations of Nanotechnology and Nanosensors

★ 4.6 (1 216)
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Material Science and Engineering Fundamentals

★ 4.8 (1 076)
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Nanotechnology Fundamentals: Materials, Fabrication, and Applications

★ 4.4 (458)
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Materials Informatics for Data-Driven Design

★ 4.5 (351)
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Foundations of Materials Science for Technology

★ 4.7 (281)
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Foundations of Materials Science: Properties and Applications

★ 4.7 (219)
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Materials Science for Modern Technology

★ 4.5 (203)
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Foundations of Materials Science: Structure and Properties

★ 4.6 (201)
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Introduction to High-Throughput Materials Discovery

★ 4.6 (180)
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Designing Advanced Functional Ceramics

★ 4.7 (159)
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Introduction to Silicon Thin-Film Solar Cells

★ 4.2 (121)
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AI for Scientific Research and Hypothesis Discovery

★ 3.3 (103)
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AI Infrastructure and Platforms: From Edge to Cloud

★ 4.8 (94)
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Simulating Nanostructure Band Structures with Matlab

★ 4.4 (92)
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Showing 1–24 of 1,389 courses