Results 241 to 250 of about 25,467 (307)

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

Chemistry in Extreme Environments: The Mystery of Molecular Complexity in Space. [PDF]

ACS Cent Sci
Puzzarini C, Alessandrini S.
europepmc   +1 more source

Enhancing Elderly Health Through Physical Activities: Insights From a Global Bibliometric Review, 1900–2023

AGING MEDICINE, EarlyView.
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang, Bo Xie, Can Liu, Yifan Song   +3 more
wiley   +1 more source

Satellite quantification of enhanced methane oxidation applied to the stratospheric plume following Hunga Tonga-Hunga Ha'apai eruption. [PDF]

Nat Commun
van Herpen MMJW, De Smedt I, Meidan D, Saiz-Lopez A, Johnson MS, Röckmann T, de Laat J.   +6 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Labeled dataset of X-ray protein ligand images in 3D point cloud and validated deep learning models. [PDF]

Sci Data
Bazzano CF, Alves LFG, Telles GP, Trivella DBB.   +3 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

Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel. [PDF]

PLoS Comput Biol
Zhao W, Sutherland DJ, Dao Duc K.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Enhanced spatial clustering of single-molecule localizations with graph neural networks. [PDF]

Nat Commun
Pineda J, Masó-Orriols S, Masoliver M, Bertran J, Goksör M, Volpe G, Manzo C.   +6 more
europepmc   +1 more source