Results 71 to 80 of about 5,929 (217)

Impact of environmental factors on atmospheric radon variations at China Jinping Underground Laboratory

Scientific Reports
In this study, long-term and continuous monitoring of atmospheric radon concentration, temperature, air pressure, and humidity was conducted at China Jinping Underground Laboratory.
Pei Huang, Wenjie Lv, Rengui Huang, Yangyang Feng, Qibin Luo, Chengtao Yin, Yaxin Yang   +6 more
doaj   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

A small volume radon progeny aerosol control device and its performance

He jishu
BackgroundNuclear sites require monitoring of artificial radioactive aerosols, but existing instruments often encounter the problem of "measurement uncertainty (radon progeny interference)" in the measurement of artificial radioactive aerosols, requiring
DENG Tianyu, SHAN Jian, CAI Xiangming, LI Haoxuan, LI Hongliang, ZENG Xuwei   +5 more
doaj   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Splenic Tropism and Spleen‐Modulated Systemic Inflammation in Acute Plasmodium vivax Malaria

American Journal of Hematology, EarlyView.
ABSTRACT In chronic Plasmodium vivax (Pv) infection, the spleen accounts for over 98% of total‐body parasite biomass. Whether splenic tropism also occurs in acute infection and how the spleen influences pathogenesis have not been systematically explored. In Papua, Indonesia, we compared clinical and hematology data in 24 spleen‐intact and 25 previously
Steven Kho, Hasrini Rini, Noy N. Kambuaya, Syawal Satria, Freis Candrawati, Putu A. I. Shanti, King Alexander, Benediktus Andries, Aisah R. Amelia, Anjana Rai, Kim A. Piera, Agatha M. Puspitasari, Ristya Amalia, Pak Prayoga, Leo Leonardo, Maulina Hafidzah, Theo Situmorang, Dewi S. Margayani, Desandra A. Rahmayenti, Pengxing Cao, Enny Kenangalem, Leily Trianty, Damian Oyong, Julie A. Simpson, Rintis Noviyanti, Pierre A. Buffet, Jeanne R. Poespoprodjo, Nicholas M. Anstey   +27 more
wiley   +1 more source