Results 261 to 270 of about 5,483,277 (408)

Mechanical Properties of Nanoporous Graphenes: Transferability of Graph Machine‐Learned Force Fields Compared to Local and Reactive Potentials

Advanced Functional Materials, Volume 35, Issue 13, March 25, 2025.
Machine learning force fields (MLFFs) enable molecular simulations of molecules, materials and interfaces with ab initio accuracy at a fraction of the cost. This study benchmarks graph‐based and local MLFFs for nanoporous graphenes, demonstrating that graph‐based models excel at capturing stress‐strain behavior, phonon dispersion, and failure ...
Adil Kabylda, Bohayra Mortazavi, Xiaoying Zhuang, Alexandre Tkatchenko   +3 more
wiley   +1 more source

Met-ID: An Open-Source Software for Comprehensive Annotation of Multiple On-Tissue Chemical Modifications in MALDI-MSI. [PDF]

Anal Chem
Bjärterot P, Nilsson A, Shariatgorji R, Vallianatou T, Kaya I, Svenningsson P, Käll L, Andrén PE.   +7 more
europepmc   +1 more source

Analytical Application of MapGIS for Quality Control in Geological Map Spatial Database Constructing [PDF]

, 2012
MA Yu-hong, Jicun Wang, Xie Songshi
openalex   +1 more source

Recent Advances in Single‐Atom Catalyst for Solar Energy Conversion: A Comprehensive Review and Future Outlook

Advanced Functional Materials, Volume 35, Issue 16, April 18, 2025.
This review highlights the potential of single‐atom catalysts in three key photocatalytic reactions: the hydrogen evolution reaction (HER), nitrogen reduction reaction for ammonia synthesis, and carbon dioxide reduction reaction (CO2RR) for chemical fuels.
Saad Mehmood, Saddam Sk, B. Moses Abraham, Mohsen Ahmadipour, Ujjwal Pal, Joydeep Dutta   +5 more
wiley   +1 more source

Highly Crystalline Selenium‐Substituted C‐Shaped Ortho‐Benzodipyrrole‐Based A‐D‐A‐Type Nonfullerene Acceptor Enabling Solution‐Processed Single‐Crystal‐Like Thin Films for Air‐Stable, High‐Mobility N‐Type Transistors

Advanced Functional Materials, Volume 35, Issue 15, April 10, 2025.
Symmetric selenium‐substituted CB‐2Se forms a highly ordered, kaleidoscope‐like 3D single‐crystal structure with enhanced intermolecular interactions, enabling solution‐processed single‐crystal‐like thin film, which transitions from a kinetically trapped face‐on π–π stacking orientation to a thermodynamically stable edge‐on configuration upon thermal ...
Kuo‐Hsiu Huang, Chi‐Chun Tseng, Chia‐Lin Tsai, Yung‐Jing Xue, Han‐Cheng Lu, Chia‐Fang Lu, Yung‐Yung Chang, Ching‐Li Huang, I‐Jui Hsu, Yu‐Ying Lai, Yang‐Pei Zheng, Bing‐Huang Jiang, Chih‐Ping Chen, Su‐Ying Chien, U‐Ser Jeng, Chain‐Shu Hsu, Yen‐Ju Cheng   +16 more
wiley   +1 more source

Identification of the disulfidptosis-related key gene CD2AP as a potential biomarker and new therapeutic target for LUAD patients by comprehensive multi-omics analysis. [PDF]

Discov Oncol
Lin Z, Lv J, Dai C, Zhai Y, Jiang J, Gao Y, Li R, Fan J, Yu Y, Wu L, Yang Y.   +10 more
europepmc   +1 more source

Chiral Engineered Biomaterials: New Frontiers in Cellular Fate Regulation for Regenerative Medicine

Advanced Functional Materials, Volume 35, Issue 20, May 16, 2025.
Chiral engineered biomaterials can selectively influence cell behaviors in regenerative medicine. This review covers chiral engineered biomaterials in terms of their fabrication methods, cellular response mechanisms, and applications in directing stem cell differentiation and tissue function.
Yuwen Wang, Xin Zhang, Denghui Xie, Chunying Chen, Zhifeng Huang, Zhong Alan Li   +5 more
wiley   +1 more source

Spatial analysis of drug resistant tuberculosis (DRTB) incidence and relationships with determinants in Rio de Janeiro state, 2010 to 2022. [PDF]

PLoS One
Pungartnik PC, Viana PVS, Santos JPCD, Macedo LR, Berra TZ, Paiva NS.   +5 more
europepmc   +1 more source

Clustering with Obstacles in Spatial Databases

, 2009
Mohamed A. El-Zawawy, Mohamed E. El-Sharkawi   +1 more
openalex   +2 more sources

A Physically‐Based Machine Learning Approach Inspires an Analytical Model for Spider Silk Supercontraction

Advanced Functional Materials, Volume 35, Issue 15, April 10, 2025.
Starting from an experimental database, a physically‐based machine learning approach is used to gain new insights into spider silk supercontraction. These insights inspire a microstructure‐based analytical model that quantitatively predicts supercontraction based on protein primary structure properties. New experiments to further elucidate the physical
Vincenzo Fazio, Ali D. Malay, Keiji Numata, Nicola M. Pugno, Giuseppe Puglisi   +4 more
wiley   +1 more source