Results 151 to 160 of about 21,815 (240)

AP‐Lab: An AI‐Driven Autonomous Pilot‐Scale Platform Bridging Materials Discovery and Industrial Manufacturing

Advanced Science, EarlyView.
AP‐Lab bridges materials discovery and industrial manufacturing by coupling proprietary datasets with an application benchmark (PCR Ct). A closed‐loop optimization workflow integrates ML, LLM, and autonomous synthesis/testing to refine magnetic nanoparticles–based nucleic‐acid extraction systems.
Zhan‐Long Wang, Zhifen Ma, Wenxing Song, Guolai Jiang, Boshi Jiang, Mingyang Jiang, Weiliang Shu, Bing Wang, Zhiyuan Wan, Shengyong Geng, Zhen Zhao, Wenhua Zhou, Xue‐Feng Yu   +12 more
wiley   +1 more source

A systematic review of quantum machine learning for digital health. [PDF]

NPJ Digit Med
Gupta RS, Wood CE, Engstrom T, Pole JD, Shrapnel S.   +4 more
europepmc   +1 more source

Power of data in quantum machine learning. [PDF]

Nat Commun, 2021
Huang HY, Broughton M, Mohseni M, Babbush R, Boixo S, Neven H, McClean JR.   +6 more
europepmc   +1 more source

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation

Advanced Science, EarlyView.
Nanozymes, as enzyme‐mimicking nanomaterials, exhibit unique catalytic properties for the treatment of liver diseases. By regulating redox homeostasis, modulating immune responses, and enabling targeted delivery, nanozymes overcome the limitations of natural enzymes.
Xiandi Meng, Ge Zhu, Siyu Sun, Wenbo Yao, Yuning Zhang, Yong‐Guang Yang, Tianmeng Sun   +6 more
wiley   +1 more source

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

Advanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal, Yeong‐Her Wang, Sanjay Kumar, Themis Prodromakis   +3 more
wiley   +1 more source

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data. [PDF]

Sci Rep
Priyadharshini M, Raju BD, Banu AF, Kumar PJ, Murugesh V, Rybin O.   +5 more
europepmc   +1 more source

Shattering cancer with quantum machine learning: A preview. [PDF]

Patterns (N Y), 2021
Geraci J.
europepmc   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

QTFPred: robust high-performance quantum machine learning modeling that predicts main and cooperative transcription factor bindings with base resolution. [PDF]

Brief Bioinform
Matsubara T, Machida S, Owusu SPK, Asakura A, Hashimoto H, Matsuoka M, Nagasaki M.   +6 more
europepmc   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source