Results 231 to 240 of about 2,371,896 (336)

Surgical process modelling strategies: which method to choose for determining workflow? [PDF]

, 2019
Maryam Gholinejad, Arjo J. Loeve, Jenny Dankelman   +2 more
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

Advanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir, Yuhao Wang, Jingwei Li, Yunfeng Tian, Francesco Ciucci   +4 more
wiley   +1 more source

Enhanced Bioprinting of 3D Corneal Stroma Patches with Reliability, Assessing Product Consistency and Quality through Optimized Electron Beam Sterilization

Advanced Healthcare Materials, Volume 14, Issue 9, April 4, 2025.
This study optimizes sterilization methods for bioprinted 3D corneal stroma patches made from cornea‐derived decellularized extracellular matrix (Co‐dECM) hydrogels and human keratocytes. It demonstrates the superiority of electron beam sterilization in preserving the mechanical, biochemical, and immunomodulatory properties of hydrogels, ensuring ...
Jungbin Yoon, Yeon‐ju Lee, Minji Kim, Ju Young Park, Jinah Jang   +4 more
wiley   +1 more source

Systematic Comparison of Commercial Uranyl‐Alternative Stains for Negative‐ and Positive‐Staining Transmission Electron Microscopy of Organic Specimens

Advanced Healthcare Materials, EarlyView.
Negative‐ and positive‐staining TEM is essential for rapid nanometer‐resolution characterization of organic specimens ranging from nanoparticles to cells. Uranyl salts are widely used negative‐/positive‐stains but are radioactive and highly toxic to users and the environment.
Vera M. Kissling, Stephanie Eitner, Davide Bottone, Gea Cereghetti, Peter Wick   +4 more
wiley   +1 more source

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

Advanced 3D Food Printing with Simultaneous Cooking and Generative AI Design

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
An in‐situ heating solution for 3D food printing is developed by incorporating noncontact graphene heaters as cooking sources during the printing process. This technique ensures food quality control and reduces microbial contamination. The AI‐generated 3D food shape design allows users to create digital models using text input without prior ...
Connie Kong Wai Lee, Yang Xu, Qiaoyaxiao Yuan, Yee Him Chan, Wing Yan Poon, Haosong Zhong, Siyu Chen, Mitch Guijun Li   +7 more
wiley   +1 more source

Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices

Advanced Materials, Volume 37, Issue 14, April 9, 2025.
Multi‐objective Bayesian optimization algorithm designs high‐strength nanolattices made of pyrolytic carbon which offer the compressive strength of carbon steel at the density of Styrofoam. This study combines machine learning with nanoscale strengthening and nanoscale 3D printing to achieve unattained material properties with millimeter scalability ...
Peter Serles, Jinwook Yeo, Michel Haché, Pedro Guerra Demingos, Jonathan Kong, Pascal Kiefer, Somayajulu Dhulipala, Boran Kumral, Katherine Jia, Shuo Yang, Tianjie Feng, Charles Jia, Pulickel M. Ajayan, Carlos M. Portela, Martin Wegener, Jane Howe, Chandra Veer Singh, Yu Zou, Seunghwa Ryu, Tobin Filleter   +19 more
wiley   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

Feasibility and acceptability of the Comprehensive Oncology Rehabilitation and Exercise (CORE) clinical workflow algorithm in patients with newly diagnosed stage I-III breast cancer who undergo surgery as first-line treatment. [PDF]

Cancer
Simon LH, Saviers-Steiger C, Dunston ER, Galyean P, Kimball ER, Mendez J, Zickmund SL, Hansen PA, Ulrich CM, LaStayo PC, Steinberg D, Noren CS, Finch A, Seckinger L, Braun E, Chipman J, Brownson KE, Oza S, Coletta AM.   +18 more
europepmc   +1 more source