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Machine learning methods for small data challenges in molecular science
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …
Hierarchically structured bioinspired nanocomposites
Next-generation structural materials are expected to be lightweight, high-strength and tough
composites with embedded functionalities to sense, adapt, self-repair, morph and restore …
composites with embedded functionalities to sense, adapt, self-repair, morph and restore …
Graph of thoughts: Solving elaborate problems with large language models
Abstract We introduce Graph of Thoughts (GoT): a framework that advances prompting
capabilities in large language models (LLMs) beyond those offered by paradigms such as …
capabilities in large language models (LLMs) beyond those offered by paradigms such as …