Results 171 to 180 of about 35,884 (262)

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Yttrium-Enriched Phosphate Glass-Ceramic Microspheres for Bone Cancer Radiotherapy Treatment. [PDF]

ACS Omega
Milborne B, Arjuna A, Islam MT, Arafat A, Layfield R, Thompson A, Ahmed I.   +6 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Enhanced Thermal Conductivity and Dielectric Performance of CMZBS-Glass-Ceramic Composites with AlN Whisker Incorporation for LTCC Applications. [PDF]

Materials (Basel)
Xue T, Su X, Yu S, Meng M, Xu X, Xin J, Ran J.   +6 more
europepmc   +1 more source

Hybrid Two‐Step Inkjet Printing and Dip‐Coating Enable Scalable 30%‐Efficient Perovskite/Silicon Tandem Solar Cells

Advanced Energy Materials, EarlyView.
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch, Lena P. Rothbauer, Johannes Schenk, Lingyi Fang, Theresa Kuechle, Julian Petry, Uma K. Dangudubiyyam, Richard Thelen, David B. Ritzer, Ting Pan, Daniel O. Baumann, Mohammad Gholipoor, Tonghan Zhao, Nils W. Rosemann, Jinzhao Li, Ulrich Lemmer, Ulrich W. Paetzold   +16 more
wiley   +1 more source

A Minimally Invasive Approach for Correction of Anterior Spacing and Proclination With Lithium Disilicate Glass-Ceramic Veneers: A Case Report. [PDF]

Cureus
Mall V, Gaikwad A, Sachdev SS, Handa A, Chavan S, Kaul M.   +5 more
europepmc   +1 more source

Membrane‐aided simultaneous reaction–separation for liquid phase products

AIChE Journal, EarlyView.
Abstract Conventionally, reaction and separation are conducted as separate steps in liquid‐phase manufacturing, with products formed during reaction and subsequently separated from unreacted reagents, solvents, and byproducts. Integrating these steps into a simultaneous reaction–separation process can improve efficiency and reduce costs.
Yihan Song, Abdulmalik Dahiru, Alan Tirado, Cliff Kowall, Lei Li   +4 more
wiley   +1 more source

Nanostructured Glass-Ceramic Materials from Glass Waste with Antimicrobial Activity. [PDF]

Molecules
Caland JP, Baptista J, Peiter GC, de Aguiar KMFR, Coelho-Júnior H, Sinnecker JP, Felix JF, Schneider R.   +7 more
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Fabrication and Characterization of Ce³⁺-Doped Lithium Alumino-Silicate Scintillating Glass-Ceramic and Fiber. [PDF]

Materials (Basel)
Wang Y, Meng F, Chen H, Luo W, Xu S, Lv C.   +5 more
europepmc   +1 more source