Advancements and prospects of deep learning in biomaterials evolution
S You, Y Fan, Y Chen, X Jiang, W Liu, X Zhou… - Cell Reports Physical …, 2024 - cell.com
In recent decades, significant strides have been made in advancing biomaterials for
biomedical applications. Ideal biomaterials necessitate suitable mechanical properties …
biomedical applications. Ideal biomaterials necessitate suitable mechanical properties …
Quantum Computing in The Cloud-A Systematic Literature Review
Sažetak Quantum computing was proposed to simulate processes that surpass the
capabilities of its counterpart, classical computing. Utilizing the principles of quantum …
capabilities of its counterpart, classical computing. Utilizing the principles of quantum …
Estimating eigenenergies from quantum dynamics: A unified noise-resilient measurement-driven approach
Ground state energy estimation in physics and chemistry is one of the most promising
applications of quantum computing. In this paper, we introduce a novel measurement-driven …
applications of quantum computing. In this paper, we introduce a novel measurement-driven …
Metabolomics in the era of artificial intelligence
Artificial intelligence (AI) is rapidly revolutionizing our daily lives, as it automates mundane
tasks, enhances productivity, and transforms how we interact with technology. We believe it …
tasks, enhances productivity, and transforms how we interact with technology. We believe it …
A brief review on quantum computing based drug design
Abstract Design and development of new drug molecules are essential for the survival of
human society. New drugs are designed for therapeutic purposes to combat new diseases …
human society. New drugs are designed for therapeutic purposes to combat new diseases …