Results 101 to 110 of about 385 (218)

PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media. [PDF]

J Imaging, 2022
Aboulhassan A, Brun F, Kourousias G, Lanzafame G, Voltolini M, Contillo A, Mancini L.   +6 more
europepmc   +1 more source

The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study

Advanced Science, EarlyView.
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley   +1 more source

Perspectives on the physics of late-type stars from beyond low earth orbit, the moon and mars. [PDF]

NPJ Microgravity
Mathur S, Santos ÂRG.
europepmc   +1 more source

Small-scale dosimetry for alpha particle ²⁴¹Am source cell irradiation and estimation of γ-H2AX foci distribution in prostate cancer cell line PC3. [PDF]

EJNMMI Phys, 2022
Mellhammar E, Dahlbom M, Vilhelmsson-Timmermand O, Strand SE.   +3 more
europepmc   +1 more source

Orbital Magnetic Moment Controlled Converse Magnetoelectric Effect in bcc‐Co3Mn/Fe/V/PMN‐PT Multiferroic Heterostructures

Advanced Science, EarlyView.
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami, Yuichi Murakami, Ryota Watarai, Yu Shiratsuchi, Yoshihiro Gohda, Kohei Hamaya   +5 more
wiley   +1 more source

Primordial black holes and their gravitational-wave signatures. [PDF]

Living Rev Relativ
Bagui E, Clesse S, De Luca V, Ezquiaga JM, Franciolini G, García-Bellido J, Joana C, Kumar Jain R, Kuroyanagi S, Musco I, Papanikolaou T, Raccanelli A, Renaux-Petel S, Riotto A, Ruiz Morales E, Scalisi M, Sergijenko O, Ünal C, Vennin V, Wands D, LISA Cosmology Working Group.   +20 more
europepmc   +1 more source

Perspectives on fundamental cosmology from Low Earth Orbit and the Moon. [PDF]

NPJ Microgravity, 2023
Bertone G, Buchmueller OL, Cole PS.
europepmc   +1 more source

Tunable Negative Thermal Expansion in Fe/Cr‐Substituted Nd2Co17 Compounds via Magnetoelastic Coupling

Advanced Science, EarlyView.
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li, Chenfei Qv, Haoran Tu, Qinfen Gu, Wayne D. Hutchison, Stewart J. Campbell, Zhenxiang Cheng, Wenquan Wang, Jianli Wang   +8 more
wiley   +1 more source

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

Advanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan, Yechuan Deng, Zixin Hu, Yanwei He, Xinting Feng, Jun Ma, Yisheng Chen, Zhijie Zhao, Jie Mei, Zhiheng Lin, Wei Luo, Zhengyuan Fang, Zhufeng Hu, Kunlun Feng, Xinrong Li, Dan Wu, Bowen Han, James Hoi po Hui, Xuanyong Liu, Chen Chen, Gang Chen, Shiyi Chen, Nirong Bao, Jiajun Qiu, Zhiwen Luo   +24 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source