Results 241 to 250 of about 7,037,410 (298)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

A long-lived impact-generated hydrothermal system at the Chicxulub impact structure. [PDF]

Commun Earth Environ
Pickersgill AE, Christou E, Tremblay MM, Barfod DN, Rasmussen C, Lee MR, Schmieder M, Collins GS, Dymock R, Gulick SPS, Kring DA, Morgan JV, Osinski GR, Swindle T, Tikoo SM, Wittmann A, Expedition 364 Scientists, Mark DF.   +17 more
europepmc   +1 more source

Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback

Advanced Intelligent Systems, EarlyView.
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim, Jaeu Park, Minseok Kang, Yongwoo Kim, Sanghoon Lee   +4 more
wiley   +1 more source

Understanding health literacy within the nexus of environmental, planetary, and one health: Mapping the evidence via bibliometric content analysis. [PDF]

J Clim Chang Health
Reismann L, Kallenbach J, Jochem C.
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Ionic Liquid Biospheres. [PDF]

Life (Basel)
Seager S, Bains W, Iakubivskyi I, Agrawal R, Jenkins J, Shinde P, Petkowski JJ.   +6 more
europepmc   +1 more source

The phase behaviour of epsomite (MgSO₄⋅7H₂O) to 50 kbar: planetary implications [PDF]

, 2006
Brand, HEA, Joy, KH, Wood, IG, Tucker, MG, Vocadlo, L, Grindrod, PM, Fortes, AD   +6 more
core  

Aerosols and hydrocarbons in the atmosphere of a white dwarf planet. [PDF]

Nature
MacDonald RJ, O'Connor CE, Boehm VA, May EM, Sing DK, Mullens E, Mayorga LC, Foote TO, Blouin S, Pearce LA, Lewis NK, Valenti J, Batalha NE, Lally M, Lothringer JD, Marley MS, Mishra I, Mullally SE.   +17 more
europepmc   +1 more source

Life resists chemistry not conditions. [PDF]

FEMS Microbes
Kish A.
europepmc   +1 more source

Climate Change Research in Nursing: A Bibliometric Analysis. [PDF]

Public Health Nurs
Yalcinkaya T.
europepmc   +1 more source