Results 91 to 100 of about 499 (172)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Machine-learning-assisted photonic device development: a multiscale approach from theory to characterization. [PDF]

Nanophotonics
Chen Y, Montes McNeil A, Park T, Wilson BA, Iyer V, Bezick M, Choi JI, Ojha R, Mahendran P, Singh DK, Chitturi G, Chen P, Do T, Kildishev AV, Shalaev VM, Moebius M, Cai W, Liu Y, Boltasseva A.   +18 more
europepmc   +1 more source

Cyclic Mechanical Loading of Cardiomyocytes via Pressure‐Driven Non‐Planar Membrane Deformation in a Bioreactor System

Advanced Science, EarlyView.
In this research article, Mansoor and coworkers present a novel device that applies controlled mechanical stimuli to cardiomyocytes using pressure‐driven membrane deformation. By exposing cells to physiologically and pathologically relevant loading conditions, the platform reproduces distinct structural, functional and molecular responses associated ...
Haris Mansoor, Gabrielle Juul, Jil Patel, Heran Pradhan, Gram Hepner, Jackson Jewell, Mark Bardin, Ryan Slusser, Abigail Glezer, Leda Klouda, Melikhan Tanyeri, Anita Saraf   +11 more
wiley   +1 more source

Fragme∩t: An Open-Source Framework for Multiscale Quantum Chemistry Based on Fragmentation. [PDF]

Wiley Interdiscip Rev Comput Mol Sci
Broderick DR, Bowling PE, Brandt C, Childress S, Shockey J, Higley J, Dickerson H, Ahmed SS, Herbert JM.   +8 more
europepmc   +1 more source

Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils

Advanced Science, EarlyView.
We show that immune cells (neutrophils) synthesize, uptake, and store catecholamine neurotransmitters such as dopamine or adrenaline. They also release them in response to specific stimuli (serotonin), which we directly visualize using fluorescent nanosensors. We further demonstrate that catecholamines affect neutrophil functions (NETosis) and platelet
Jennifer Mohr, Anne Schmitz, Meshkat Dinarvand, Franziska Wulfert, Sangeetha Shankar, Bjoern F. Hill, Michael Wojak, Juliana Gretz, Marie Britz, Elsa Neubert, Magdalena Shumanska, Sofia Kaushik, Linda Kartaschew, Ivan Bogeski, James Daniel, Sebastian Jung, Johannes Eble, Guido Wabnitz, Luise Erpenbeck, Sebastian Kruss   +19 more
wiley   +1 more source

Biological detail and graph structure in network neuroscience. [PDF]

Front Netw Physiol
Papo D, Buldú JM.
europepmc   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

QuPepFold: A python package for hybrid quantum-classical protein folding simulations with CVaR-optimized VQE. [PDF]

PLoS One
Uttarkar A, Niranjan V, Saxena A, Kumar V.   +3 more
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

A self-learning method with domain knowledge integration for intelligent welding sequence planning. [PDF]

Sci Rep
Shen W, Wang X, Li J, Wang Y, Qiao X.
europepmc   +1 more source