AI for Materials Discovery — WalkSelf

AI for Materials Discovery

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

1388 courses

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Applying AI to Energy and Biomedical Systems

4.6 (75)
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Plastics and Polymers: Chemistry, Applications, and Sustainability

4.5 (75)
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Science and Technology Innovation Policy

4.8 (55)
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AI in Materials Science: A Practical Introduction

4.7 (50)
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Introduction to Phase Diagrams in Materials Science

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Thin Film Characterization: Optical and X-Ray Analysis

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Understanding Phase Diagrams in Materials Science

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Introduction to Nanotechnology and Nanosensors

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Introduction to Electron and Ion Beam Characterization

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Research Methods: Quantitative, Qualitative, and Case Study Design

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Nanotechnology for a Sustainable Future

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Applied Electronics: From Transistors to Sensor Systems

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Advanced Engineering Studies: Foundations and Career Pathways

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Foundations of MEMS: Micro and Nanofabrication Techniques

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Spotfire for Semiconductor Data Analysis

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Welding Symbols and Standards for TIG and SMAW

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Semiconductor Thin Film Process Technology and Process Development

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Polymer Physics and Technology Fundamentals

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Nanotechnology in Agriculture: Foundations of Smart Farming

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Specialized Process Techniques in Microfabrication

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Mathematical Foundations for Materials Science and Engineering

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Applied Mathematics for Materials Science and Engineering

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Introduction to Micro Electro Mechanical Systems (MEMS)

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Introduction to Microfabrication and Semiconductor Manufacturing

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Showing 25–48 of 1,388 courses