About
The Journal of AI-Assisted Scientific Discovery (JAASD) is a scholarly publication dedicated to advancing research at the intersection of artificial intelligence (AI) and scientific discovery. With the increasing complexity of scientific problems and the growing availability of data, JAASD provides a platform for researchers, scientists, and engineers to explore innovative AI-assisted approaches that accelerate knowledge discovery, facilitate hypothesis generation, and optimize experimental design. The journal covers a wide range of scientific disciplines, including but not limited to chemistry, physics, biology, materials science, and environmental science. JAASD welcomes original research articles, review papers, and methodological developments that demonstrate the utility and effectiveness of AI technologies in scientific discovery. By fostering collaboration between AI researchers and domain experts, JAASD aims to accelerate scientific progress and promote interdisciplinary collaboration for the benefit of society.
Current IssueVol 4, No 2 (2024): Journal of AI-Assisted Scientific Discovery
Published July 1, 2024
Issue Description
Welcome to the latest volume of the Journal of AI-Assisted Scientific Discovery! Within these pages, we proudly present pioneering research at the confluence of artificial intelligence and scientific inquiry. From accelerating knowledge discovery to optimizing experimental design, our contributors showcase the transformative potential of AI in advancing scientific understanding and innovation.
In this volume, esteemed researchers delve into a diverse range of disciplines, offering insights and methodologies to address the complexities of scientific exploration. Through rigorous empirical analyses, computational simulations, and innovative algorithm development, we aim to harness the power of AI to unlock new insights, accelerate discovery, and push the boundaries of scientific kn... More
