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 …
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 …
Designing microplastic-binding peptides with a variational quantum circuit–based hybrid quantum-classical approach
RC Vendrell, A Ajagekar, MT Bergman, CK Hall… - Science …, 2024 - science.org
De novo peptide design exhibits great potential in materials engineering, particularly for the
use of plastic-binding peptides to help remediate microplastic pollution. There are no known …
use of plastic-binding peptides to help remediate microplastic pollution. There are no known …
Chitosan-ricobendazole complex: Synthesis, characterization and anthelmintic activity
A Blinov, V Orobets, E Kastarnova, A Gvozdenko… - International Journal of …, 2024 - Elsevier
Synthesis, characterization and assessment of therapeutic efficacy of chitosan-
ricobendazole complex were carried out for the first time in this work. Study of physico …
ricobendazole complex were carried out for the first time in this work. Study of physico …
Synergizing quantum techniques with machine learning for advancing drug discovery challenge
Abstract The Quantum Computing for Drug Discovery Challenge, held at the 42nd
International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month …
International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month …
Computer-aided Molecular Design by Aligning Generative Diffusion Models: Perspectives and Challenges
A Ajagekar, B Decardi-Nelson, C Shang… - Computers & Chemical …, 2024 - Elsevier
Deep generative models like diffusion models have generated significant interest in
computer-aided molecular design by enabling the automated generation of novel molecular …
computer-aided molecular design by enabling the automated generation of novel molecular …
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 …
Electron transport and quantum phase transitions in cumulene-connected C80H20 fulleryne: DFT and tight-binding studies
M Qasemnazhand, F Khoeini, MA Bazrafshan… - Journal of Physics and …, 2025 - Elsevier
Molecular bridges are opening up exciting new applications in diverse fields, improving the
efficiency of conductive inks, enhancing the performance of devices such as organic light …
efficiency of conductive inks, enhancing the performance of devices such as organic light …
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 …
Harnessing quantum power: Revolutionizing materials design through advanced quantum computation
Z Guo, R Li, X He, J Guo, S Ju - Materials Genome Engineering …, 2024 - Wiley Online Library
The design of advanced materials for applications in areas of photovoltaics, energy storage,
and structural engineering has made significant strides. However, the rapid proliferation of …
and structural engineering has made significant strides. However, the rapid proliferation of …