Results 221 to 230 of about 3,892,377 (304)

Type‐II Dirac Fermions in Monolayer In2O: Interplay of Magnetotransport, Spin Hall Effect, and Superconductivity

Advanced Science, EarlyView.
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu, De‐Ming Feng, Wen‐Neng Zhao, Yu‐Yang Zhao, Lun Xiong, Xing‐Yi Tan, Hua‐Hua Fu   +6 more
wiley   +1 more source

Atypical development of white matter structural networks in children and adolescents with autism spectrum disorder: a graph theory study. [PDF]

Front Neurosci
Li M, Kurita K, Yamada T, Wang Y, Izumoto M, Iwatani Y, Mohri I, Shou Q, Yamashita M, Hamatani S, Matsuzaki H, Okazawa H, Yoshida T, Kitagawa H, Sasaki T, Matsumoto K, Nagano T, Isobe Y, Kamashita R, Sudo Y, Shimizu E, Kawasaki R, Hirano Y, Mizuno Y, Kagitani-Shimono K.   +24 more
europepmc   +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

Exploring anticancer drug structures through vertex based resolving parameters. [PDF]

Sci Rep
Chaudhry F, Hussain M, Hanif MF, Alzahrani AK, Fiidow OA.   +4 more
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Degree-Based Topological Indices and Machine Learning for QSPR Modeling of Arthritis Drugs. [PDF]

ACS Omega
Tang JH, Noureen S, Ashraf N, Azam S, Aslam A.   +4 more
europepmc   +1 more source

Two‐Dimensional Triferroics: From Fundamental Couplings to Multifunctional Applications

Advanced Science, EarlyView.
This graphic summarizes the three main types of currently reported 2D triferroic couplings. From the structural perspective, existing systems can be broadly classified into two categories, which exhibit distinct symmetry features and coupling behaviors. Beyond the lattice difference, a third type involves the interplay among ferroelectricity, magnetism,
Yang Li, Jialin Gong, Zhiqing Li
wiley   +1 more source

A pan-cancer multi-omic <i>SuperLearner</i> for regulated cell death survival topologies. [PDF]

Front Artif Intell
Rodrigues de Souza E, Almeida Cordeiro Nogueira H, Lopes VDS, Medina-Acosta E.   +3 more
europepmc   +1 more source

Engineering of Crystal and Domain Structures in Epitaxial Y:HfO2 Thin Films by YSZ Substrate Miscut

Advanced Science, EarlyView.
We investigate how YSZ substrate miscut influences crystal structure and domain formation in epitaxial Y‐doped HfO2 thin films. Using magnetron sputtering, high‐resolution X‐ray diffraction, atomic‐resolution scanning transmission electron microscopy, and first‐principles calculations, we systematically examine the characteristics of thickness‐ and ...
Jun Young Lee, Hyung‐Jin Choi, Kun Hee Ye, Haneul Choi, Byeong‐hyeon Lee, Min‐Seok Kim, Dong‐Hun Han, June Hyuk Lee, Sung Ok Won, Tae Heon Kim, Hye Jung Chang, Jung‐Hae Choi, Seung‐Hyub Baek   +12 more
wiley   +1 more source

Exploring topological indices and power curve fitting models for predicting heat of formation in magnesium aluminate network. [PDF]

Sci Rep
Nazir S, Siddiqui MK, Hayat H, Gegbe B.
europepmc   +1 more source