Results 61 to 70 of about 13,060,318 (232)
Computational modelling of flows in porous scaffold materials using a lattice Boltzmann method [PDF]
, 2011 PhDPorous scaffold materials have been widely used in biological tissue engineering. It is known that fluid flow in porous media significantly increases the supply of oxygen and other nutrients to cells seeded in the porous material, and speeds up the
Ye, Shangjun
core +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Laser‐Assisted Phase Engineering of 2D MoS2 for Efficient Solution‐Processed Electronics
Advanced Materials, EarlyView.Here, local laser‐assisted phase transition from solution‐processed phase‐pure 1T′ to 2H MoS2 is shown to critically depend on the irradiation atmosphere. While processing in air leads to damaged insulating regions, inert conditions yield semiconducting 2H domains, enabling direct field‐effect transistor patterning with optimized lateral 1T′‐2H MoS2 ...
Anna Zhuravlova +10 more
wiley +1 more source
Modelling thermal flow in a transition regime using a lattice Boltzmann approach [PDF]
, 2007 Lattice Boltzmann models are already able to capture important rarefied flow phenomena, such as velocity-slip and temperature jump, provided the effects of the Knudsen layer are minimal.
Gu, X.J. +3 more
core +1 more source
Vertical Dense Jets in Crossflows: A Preliminary Study with Lattice Boltzmann Methods
FluidsThe dramatic increase in domestic and industrial waste over recent centuries has significantly polluted water bodies, threatening aquatic life and human activities such as drinking, recreation, and commerce.
Maria Grazia Giordano +4 more
doaj +1 more source
Learning spin liquids on a honeycomb lattice with artificial neural networks
Scientific Reports, 2021 Machine learning methods provide a new perspective on the study of many-body system in condensed matter physics and there is only limited understanding of their representational properties and limitations in quantum spin liquid systems.
Chang-Xiao Li, Sheng Yang, Jing-Bo Xu
doaj +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
Advanced Materials, EarlyView.This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source
Advanced Materials, EarlyView.Our work introduces a new framework that fundamentally changes how orientation in bismuth oxyhalide systems is approached. Comprehensive experiments, backed by theoretical models, reveal the pivotal role of halide anions to modify the van der Waals stacking energies required to direct orientation. Our method enables the fabrication of near perfect (001)
Gabriel Aygur +10 more
wiley +1 more source
An Improved Lattice Boltzmann Method for Simulating High-Conductivity-Ratio Conjugate Heat Transfer
EnergiesThis paper presents an improved lattice Boltzmann method for simulating conjugate heat transfer. In conventional lattice Boltzmann methods, the coupling between thermal conductivity and relaxation time limits numerical stability for high-conductivity ...
Zuoming Yang +4 more
doaj +1 more source
Materials Research Express, 2020 We have studied the lattice dynamics and lattice thermal conductivity of NaCoO _2 intercalation material with first-principles hybrid density functional methods.
Nina Mattila, Antti J Karttunen
doaj +1 more source