Results 191 to 200 of about 2,041,584 (301)

Complex subtelomeric architectures in a complete rhesus macaque reference genome. [PDF]

Cell
Zhang S, Xu N, Lu Y, Nie Y, Li Z, de Gennaro L, La Torraca A, Fu L, Zhang Z, Chen J, Ma K, Yang X, Zhang J, Schmitz MT, Antonacci F, Bakken TE, Ventura M, Phillippy AM, Sun Q, Mao Y.   +19 more
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Accuracy of CBCT and dental-MRI for detecting peri-implant bone defects at single titanium implants: an in-vitro pilot study. [PDF]

Int J Implant Dent
Hartung K, Miotk N, Lauer A, Schwindling FS, Nittka M, Özen A, Ludwig U, Hövener JB, Bock M, Flügge T, Eisenbeiss AK, Rammelsberg P, Heiland S, Bendszus M, Hilgenfeld T.   +14 more
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Comparative Evaluation of Magnetic Field Strength and Fat Suppression for Magnetic Resonance Sialography in Healthy Dogs. [PDF]

Vet Radiol Ultrasound
Shin SB, Park NW, Jung YJ, Yoo HS, Kim JH, Eom KD.   +5 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Comparative analysis of temperature effect on bandgap characteristics in 1D phononic crystals: Periodic versus quasiperiodic structures. [PDF]

PLoS One
Heravi FJ, Elsayed HA, Hajjiah A, Bin-Jumah M, Alqhtani HA, Abukhadra MR, Solouma E, Nayak S, Al Zoubi W, Mehaney A.   +9 more
europepmc   +1 more source

Modified MXene Aerogel With Broadband Microwave Absorption Inspired by Melanophila Acuminata Beetle

Advanced Science, EarlyView.
This work introduces a novel biomimetic strategy inspired by the infrared‐sensing sensilla of the Melanophila acuminata beetle. We have designed a multi‐level aerogel, featuring a three‐dimensional carbon framework decorated with synergistic CeO2 nanoparticles and Ti3C2Tx MXene nanosheets.
Zhiwei Liu, Dingyu Xu, Zhaobo Liu, Haitian Song, Qianqian Zhang, Junxiao Zhou, Xiewen Wen   +6 more
wiley   +1 more source

The Novel HLA-DQA1*01:204 Allele Identified in Asian Female Donor by Next-Generation Sequencing. [PDF]

HLA
Ge J, Eravelli V, Austria S, Park C, Ruiz P.   +4 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source