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1
Elemental Substitution at Tl Site of Tl1−xXx(Ba, Sr)CaCu2O7 Superconductor with X = Cr, Bi, Pb, Se, and Te
Elemental Substitution at Tl Site of Tl1−xXx(Ba, Sr)CaCu2O7 Superconductor with X = Cr, Bi, Pb, Se, and Te
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Elemental Substitution at Tl Site of Tl1−xXx(Ba, Sr)CaCu2O7 Superconductor with X = Cr, Bi, Pb, Se, and Te

Nur-Akasyah, Jaafar ; Abd-Shukor, Roslan ; Chong, Tet Vui

Materials, 2023-05, Vol.16 (11), p.4022 [Periódico revisado por pares]

Basel: MDPI AG

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2
Ultrafast Cylindrical Vector Beams for Improved Energy Feedthrough and Low Roughness Surface Ablation of Metals
Ultrafast Cylindrical Vector Beams for Improved Energy Feedthrough and Low Roughness Surface Ablation of Metals
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Ultrafast Cylindrical Vector Beams for Improved Energy Feedthrough and Low Roughness Surface Ablation of Metals

Pallarés-Aldeiturriaga, David ; Abou Khalil, Alain ; Colombier, Jean-Philippe ; Stoian, Razvan ; Sedao, Xxx

Materials, 2023-01, Vol.16 (1), p.176 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
Single- and Twin-Photons Emitted from Fiber-Coupled Quantum Dots in a Distributed Bragg Reflector Cavity
Single- and Twin-Photons Emitted from Fiber-Coupled Quantum Dots in a Distributed Bragg Reflector Cavity
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Single- and Twin-Photons Emitted from Fiber-Coupled Quantum Dots in a Distributed Bragg Reflector Cavity

Shang, Xiangjun ; Li, Shulun ; Liu, Hanqing ; Su, Xiangbin ; Hao, Huiming ; Dai, Deyan ; Li, Xiaoming ; Li, Yuanyuan ; Gao, Yuanfei ; Dou, Xiuming ; Ni, Haiqiao ; Niu, Zhichuan

Nanomaterials (Basel, Switzerland), 2022-04, Vol.12 (7), p.1219 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
Emulating Solar Spectral Reflectance of Natural Leaf with Bionic Leaf Prepared from 4A Zeolite-Derived Ultramarine Green Pigment
Emulating Solar Spectral Reflectance of Natural Leaf with Bionic Leaf Prepared from 4A Zeolite-Derived Ultramarine Green Pigment
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Emulating Solar Spectral Reflectance of Natural Leaf with Bionic Leaf Prepared from 4A Zeolite-Derived Ultramarine Green Pigment

Lv, Chenglong ; Zu, Mei ; Xie, Dongjin ; Cheng, Haifeng

Materials, 2021-03, Vol.14 (6), p.1406 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Strain-Gradient Bar-Elastic Substrate Model with Surface-Energy Effect: Virtual-Force Approach
Strain-Gradient Bar-Elastic Substrate Model with Surface-Energy Effect: Virtual-Force Approach
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Strain-Gradient Bar-Elastic Substrate Model with Surface-Energy Effect: Virtual-Force Approach

Limkatanyu, Suchart ; Sae-Long, Worathep ; Mohammad-Sedighi, Hamid ; Rungamornrat, Jaroon ; Sukontasukkul, Piti ; Prachasaree, Woraphot ; Imjai, Thanongsak

Nanomaterials (Basel, Switzerland), 2022-01, Vol.12 (3), p.375 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
Self-Healing Potential and Phase Evolution Characterization of Ternary Cement Blends
Self-Healing Potential and Phase Evolution Characterization of Ternary Cement Blends
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Self-Healing Potential and Phase Evolution Characterization of Ternary Cement Blends

Mohammadi, Mojtaba ; Youssef-Namnoum, Carol ; Robira, Maxime ; Hilloulin, Benoit

Materials, 2020-06, Vol.13 (11), p.2543 [Periódico revisado por pares]

Basel: MDPI AG

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7
Tomonaga–Luttinger Spin Liquid and Kosterlitz–Thouless Transition in the Spin-1/2 Branched Chains: The Study of Topological Phase Transition
Tomonaga–Luttinger Spin Liquid and Kosterlitz–Thouless Transition in the Spin-1/2 Branched Chains: The Study of Topological Phase Transition
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Tomonaga–Luttinger Spin Liquid and Kosterlitz–Thouless Transition in the Spin-1/2 Branched Chains: The Study of Topological Phase Transition

Arian Zad, Hamid ; Zoshki, Azam ; Ananikian, Nerses ; Jaščur, Michal

Materials, 2022-06, Vol.15 (12), p.4183 [Periódico revisado por pares]

Basel: MDPI AG

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8
A Method for Predicting the Creep Rupture Life of Small-Sample Materials Based on Parametric Models and Machine Learning Models
A Method for Predicting the Creep Rupture Life of Small-Sample Materials Based on Parametric Models and Machine Learning Models
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A Method for Predicting the Creep Rupture Life of Small-Sample Materials Based on Parametric Models and Machine Learning Models

Zhang, Xu ; Yao, Jianyao ; Wu, Yulin ; Liu, Xuyang ; Wang, Changyin ; Liu, Hao

Materials, 2023-10, Vol.16 (20), p.6804 [Periódico revisado por pares]

Basel: MDPI AG

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9
Selection Route of Precursor Materials in 3D Printing Composite Filament Development for Biomedical Applications
Selection Route of Precursor Materials in 3D Printing Composite Filament Development for Biomedical Applications
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Selection Route of Precursor Materials in 3D Printing Composite Filament Development for Biomedical Applications

Mocanu, Aura-Cătălina ; Miculescu, Florin ; Constantinescu, Andreea Elena ; Pandele, Mădălina-Andreea ; Voicu, Ștefan Ioan ; Cîmpean, Anișoara ; Miculescu, Marian ; Negrescu, Andreea Mariana

Materials, 2023-03, Vol.16 (6), p.2359 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Modelling of Fatigue Microfracture in Porous Sintered Steel Using a Phase-Field Method
Modelling of Fatigue Microfracture in Porous Sintered Steel Using a Phase-Field Method
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Modelling of Fatigue Microfracture in Porous Sintered Steel Using a Phase-Field Method

Tomić, Zoran ; Jarak, Tomislav ; Lesičar, Tomislav ; Gubeljak, Nenad ; Tonković, Zdenko

Materials, 2023-06, Vol.16 (11), p.4174 [Periódico revisado por pares]

Switzerland: MDPI AG

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