Results 231 to 240 of about 906,093 (293)

Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines. [PDF]

Sci Rep
Dong R, Du J, Liu C.
europepmc   +1 more source

Charge Transport in Ternary Charge‐Transfer Solid Solution Single Crystals

Advanced Functional Materials, EarlyView.
This study deconvolutes the roles of indirect (superexchange) and direct electronic coupling on charge transport in single crystals of an organic charge‐transfer molecular semiconductor (OSC). This model system elegantly demonstrates that structural defects introduced by chemical dopants play a significant role in the electronic performance ...
Jonathan C. Novak, Manikanta Makala, Edith L. MacKenzie, Veaceslav Coropceanu, Kimberly Agosto, Abigail A. Moravek, Oana D. Jurchescu, Ren A. Wiscons   +7 more
wiley   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source

Hyperspectral imaging with machine learning for non-destructive prediction of quality attributes in Lanzhou frozen pears. [PDF]

Food Chem X
Qiao W, Yang M, Hu J, Yan H, Guo Y, Guo F.   +5 more
europepmc   +1 more source

Intrabandgap States Engineering in Functionalized Nanodiamond to Generate Solvated Electrons for Photocatalysis Under Solar Illumination

Advanced Functional Materials, EarlyView.
The negative electron affinity of diamond allows to emit highly reductive electrons. By introducing intra‐bandgap states and an optimized electron transfer mechanism by surface functionalization with Ru(bpy)3, the formation of solvated electrons is achieved upon solar irradiation.
Benjamin Kiendl, Arsène Chemin, Adam H. Day, Rocio B. Rodriguez, Sneha Choudhury, Franziska Buchner, Kaan Atak, Christoph Merschjann, Emina Hadzifejzovic, Tim D. W. Claridge, Karin Larsson, Amélie Venerosy, Mailis M. Lounasvuori, Natalia Zabarska, Boyan Iliev, Thomas J. S. Schubert, Hugues A. Girard, Jean‐Charles Arnault, John S. Foord, Tristan Petit, Anke Krueger   +20 more
wiley   +1 more source

Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction. [PDF]

Food Chem X
Marimuthu Murugesan, Prakash Pandurangan, Anitha Murugesan, Halan Senthilkumar, Krishnamurthy K Hegde, Sheela Thangaraj, Meivelu Moovendhan.   +6 more
europepmc   +1 more source

Cardiac‐Derived ECM Microspheres for Enhanced hiPSC‐CMs Maturation

Advanced Functional Materials, EarlyView.
Cardiac extracellular matrix microspheres derived from decellularized porcine heart provide a biomimetic 3D microenvironment for human induced pluripotent stem cell–derived cardiomyocytes (hiPSC‐CMs). This platform supports short‐ and long‐term culture, enhances structural organization, and promotes electrophysiological and functional maturation of ...
Jiazhu Xu, Joel Aboagye, Marcella Edwards, Nick Rogozinski, Yufeng Wen, Angello Huerta Gomez, Zui Pan, Ge Zhang, Huaxiao Yang, Yi Hong   +9 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Water quality index prediction via a robust machine learning model using oxygen-related indices for river water quality monitoring. [PDF]

Sci Rep
Arzhangi A, Partani S.
europepmc   +1 more source

Scalable Thermal Engineering via Femtosecond Laser‐Direct‐Written Phononic Nanostructures

Advanced Functional Materials, EarlyView.
This study demonstrates that femtosecond laser‐induced periodic surface structures (fs‐LIPSS) can function as phononic metasurfaces, reducing thermal conductivity below the plain thin‐film limit. Phonon Monte Carlo analysis reveals that the periodic structures restrict phonon mean free paths.
Hiroki Hamma, Roman Anufriev, Kazuyoshi Fushinobu, Masahiro Nomura, Byunggi Kim   +4 more
wiley   +1 more source