Results 241 to 250 of about 64,706 (306)

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Evaluating Large Language Models for Decision Support in Minimally Invasive Spine Surgery Triage and Procedural Categories. [PDF]

Global Spine J
Kartal A, Manalil NF, Cheng CD, Chung LK, Gebhard H, Greenberg M, Härtl R, Elsayed GA.   +7 more
europepmc   +1 more source

Toward developing an online information search model

, 2010
Hsu, Maxwell, Maity, Moutusy
core  

Resolving passive heat transfer and phase‐change heat in cryogenic CO2 deposition (Desublimation) from CO2/N2 mixtures

AIChE Journal, EarlyView.
Abstract In cryogenic CO2 desublimation systems where phase change dominates both heat transfer and separation, conventional lumped thermal‐resistance treatments embed interfacial latent heat into an overall heat‐transfer coefficient, obscuring how phase‐change heat is partitioned between the gas phase and the coolant and limiting diagnostic insight ...
Shengwen Xiao, Hiroshi Machida, Koyo Norinaga   +2 more
wiley   +1 more source

Synthesis and Characterization of CNC/CNF/rGO Composite Films for Advanced Functional Applications. [PDF]

Micromachines (Basel)
Ramezani G, Stiharu I, van de Ven TGM, Ramezani H, Nerguizian V.   +4 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

An Electrohydrodynamic Phase-Field Model for Contact Angle Hysteresis in Electrowetting Pixels: Decoupling Physical Pinning and Charge Trapping. [PDF]

Micromachines (Basel)
Lu Q, Wang L, Li F, Yang Y, Liu Q, Wang X, Chi F, Liu L, Yi Z.   +8 more
europepmc   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

Density-functional tight binding meets Maxwell: unraveling the mysteries of (strong) light-matter coupling efficiently. [PDF]

Nanophotonics
Sidler D, Bustamante CM, Bonafé FP, Ruggenthaler M, Sukharev M, Rubio A.   +5 more
europepmc   +1 more source

Nonlinear viscoelastic models improve characterisation of 6 DOF intervertebral disc load response at low strain rates. [PDF]

Proc Inst Mech Eng H
Hayward S, Keogh PS, Miles AW, Gheduzzi S.   +3 more
europepmc   +1 more source