Results 101 to 110 of about 194,882 (123)
Rib‐Reinforced Ultralight and Ultra‐Strong Shell Lattices
This study thoroughly reveals the relation between the curvature and stress direction of triply periodic minimal surface (TPMS) thin shell lattices and proposes a novel rib reinforcement design strategy to incorporate ribs along the line of asymptotes (LOA) and the line of principal curvatures (LOC) to enhance the strength of ultralight TPMS shell ...
Winston Wai Shing Ma +6 more
wiley +1 more source
Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang +3 more
wiley +1 more source
Programmable Multifunctional Bistable Structures for Energy Transfer and Dissipation
Utilizing the energy conversion characteristics of asymmetric bistable beams, this study develops a programmable multifunctional system composed of multiple bistable beams for energy transfer and dissipation. The high energy density enables the system to demonstrate potential in transient scenarios such as target delivery and shock absorption ...
Xin Na +6 more
wiley +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang +7 more
wiley +1 more source
Thermally Induced Creep and Viscoelastic Behavior of Copper Micropillar Arrays
Copper micropillar arrays are fabricated by electrodeposition within through‐glass‐via, and their thermally induced time‐dependent deformation is quantified. Nanoindentation creep, EBSD, and TEM reveal a heat‐treatment‐driven transition between grain‐boundary‐mediated deformation and dislocation‐dominated creep, while Kelvin modeling captures ...
Miao Wang +14 more
wiley +1 more source
By engineering the PVA/H3PO4 ionic elastomer with optimized viscoelasticity and a height‐graded microstructure, the pressure sensor achieves a broad linear range up to 2000 kPa and a high sensitivity of 2.70 nF/kPa. These advancements underscore its strong potential for wearable electronics, including bio‐signal detection, health monitoring, and ...
Allen J. Cheng +13 more
wiley +1 more source
Nanoscopic Imaging the Lithiation of Sulfur Nanoparticles under Electron Beam Irradiation
ABSTRACT In situ Transmission Electron Microscopy (TEM) provides powerful insights into the reaction mechanisms of Lithium‐Sulfur (Li‐S) batteries. However, distinguishing intrinsic electrochemical behaviors from artifacts induced by high‐energy electron beam irradiation remains a critical challenge.
Rui Huang +13 more
wiley +1 more source
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source

