Jacopo de Berardinis

King's College London, University of Manchester

Papers

Total Citations

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About

Jacopo de Berardinis is a researcher at the intersection of artificial intelligence, autonomous systems, and materials science. His work focuses on accelerating scientific discovery through deep learning and robotics, with particular emphasis on autonomous experimentation and service robotics. His most cited work, "SOLIS: Autonomous Solubility Screening using Deep Neural Networks" (2022, 9 citations), introduces a groundbreaking framework that combines deep neural networks with automated experimental platforms to dramatically speed up solubility screening—a critical bottleneck in pharmaceutical development and clean energy research. This contribution demonstrates how AI-driven automation can transform traditional laboratory workflows, reducing human intervention while increasing throughput and reproducibility. De Berardinis has also made notable contributions to service robotics, particularly in the hospitality sector. His "At Your Service" series (2020, 5 citations each) explores how machine learning and recommendation algorithms can enable robot assistants to perform complex tasks, such as coffee bean selection and preparation, addressing societal needs highlighted by the COVID-19 pandemic. His work bridges the gap between autonomous experimentation in materials science and practical service applications, showcasing the versatility of AI-driven robotics. With a growing citation record and interdisciplinary impact, de Berardinis is establishing himself as a promising voice in the future of autonomous scientific discovery and human-robot interaction.