Results 151 to 160 of about 21,993 (294)

Reconstruction of nonlinear ultrasound field of an annular therapeutic array from acoustic holograms of its individual elements. [PDF]

Proc Meet Acoust, 2017
Khokhlova VA, Yuldashev P, Rosnitskiy P, Sapozhnikov O, Dumont E, Hoogenboom M, den Brok M, Fütterer J, Adema G.   +8 more
europepmc   +1 more source

Ultrastable Self‐Cross‐linkable Electro‐Optic Materials Based on a Bisanthracene Scaffold

Advanced Electronic Materials, EarlyView.
A novel bisanthracene‐based self‐cross‐linkable electro‐optic chromophore (TD2) is developed. TD2 exhibits a high r33 of 141 pm/V and a cross‐linked Tg up to 195 °C, retaining 99.75% of its initial EO response after 500 h at 85 °C, showing record‐high thermal stability for single‐molecule self‐cross‐linking EO materials.
Xingtao Wang, Zhifan Liu, Qinghua Yang, Jiayan Xu, Lin Li, Fenggang Liu, Shengyu Cong   +6 more
wiley   +1 more source

A Kinetic–Energetic Bottleneck of Charge‐Transfer Injection Governs Energy Loss in Organic Solar Cells

Advanced Energy Materials, EarlyView.
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang, Tobias Osterrieder, Atul Shukla, Christos L. Chochos, Vasilis G. Gregoriou, Yakun He, Hua Tang, Julian Matthias Haffner‐Schirmer, Karen Forberich, Ning Li, Thomas Heumueller, Frédéric Laquai, Jens Hauch, Safa Shoaee, Dieter Neher, Larry Lüer, Christoph J. Brabec   +16 more
wiley   +1 more source

Design of HIFU transducers to generate specific nonlinear ultrasound fields. [PDF]

Phys Procedia, 2016
Khokhlova VA, Yuldashev PV, Rosnitskiy PB, Maxwell AD, Kreider W, Bailey MR, Sapozhnikov OA.   +6 more
europepmc   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

AIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy   +6 more
wiley   +1 more source

Linear and nonlinear ultrasound parameters attributed to anisotropy in granite. [PDF]

Sci Rep
Baek S, Kim KY, Kim G, Yun TS.
europepmc   +1 more source

Nonlinear ultrasound parameter measurement for clay suspended particles characterization

, 2012
International audienceFinite amplitude insert substitution method is used to measure the nonlinear ultrasound parameter in clay particles suspended in water.
Aouzale, Noureddine, Soucrati, Hanane, Jakjoud, Hicham, Chitnalah, Ahmed   +3 more
core  

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

A pulse-echo model for nonlinear ultrasound imaging

, 2007
A pulse-echo model for simulating nonlinear ultrasound images of multi-layered tissue-like media is described. Diffraction, attenuation, nonlinear propagation, and refraction and transmission losses at layer boundaries are accounted for on forward ...
Lam, Tobin (Toby) Yun Jing
core  

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source