Results 171 to 180 of about 470,881 (224)

A Thermodynamic Model of Antiferroelectics and Its Application to Electric Field Induced Antiferroelectric‐Ferroelectric Transition in PbZrO3

Advanced Functional Materials, Volume 36, Issue 81, 8 October 2026.
A thermodynamic model that incorporates ferroelectric, antiferroelectric, and antiferrodistortive orders of PbZrO3${\rm PbZrO}_3$ is established and parameterized based on experimental measurements and first‐principles calculations. We derive a Clapeyron‐like equation for describing the temperature‐dependence of critical electric fields for the ...
Zhiyang Wang, Guodong Zhao, Aiden Ross, Long‐Qing Chen   +3 more
wiley   +1 more source

Coconut Water Microfiltration Optimization Using Response Surface Modeling, Neural Networks, and Genetic Algorithms: Performance and Nutritional Retention. [PDF]

Membranes (Basel)
Viana JDDR, Souza ACR, Ribeiro PRV, Silva LMA, Canuto KM, Rezzadori K, Arend GD, Dionísio AP, Petrus JCC.   +8 more
europepmc   +1 more source

Dynamic Landau–Khalatnikov Modeling of Ferroelectric Hafnium–Zirconium Oxides Across Volatile and Non‐Volatile Switching

Advanced Electronic Materials, Volume 12, Issue 20, 26 October 2026.
Compositionally engineered hafnium–zirconium oxide capacitors are described by an extended Landau–Khalatnikov framework incorporating inertial and nonlinear damping terms. The unified model captures ferroelectric and volatile regimes within a single material platform, linking free‐energy landscapes to circuit‐level behavior.
Davide Rossetti, Yichun Xu, Shiva Asapu, Taehwan Moon, Seung Ju Kim, Drake R. Austin, Ruoyu Zhao, Tong Wang, Jian Zhao, Brian M. Everhart, Michele Bonnin, Alon Ascoli, Fernando Corinto, Nicholas R. Glavin, R. Stanley Williams, J. Joshua Yang   +15 more
wiley   +1 more source

Precision Drug Delivery of LY-11h for Acute Myeloid Leukemia Treatment Using Machine Learning-Assisted Hot Melt Extrusion and 3D-Printed Technologies. [PDF]

Pharmaceutics
Huang L, Li D, Yang T, Yang W, Zhu M, Zhao X, Zhang J.   +6 more
europepmc   +1 more source

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

Advanced Energy Materials, Volume 16, Issue 39, 21 October 2026.
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

Highly efficient long-range conduction through a biosynthetic nickel-organic framework. [PDF]

Nat Commun
Meysman FJR, Smets B, Hidalgo-Martinez S, Claes N, Schroeder BC, Geelhoed JS, Liu Y, Alingapoyil Choyikutty J, Chennit T, Bodson T, Collauto A, Roessler MM, Karpov D, Bohic S, Aramini M, Hayama S, Wetherington M, Zwijnenburg MA, Pankratova G, Pintelon I, Timmermans JP, Nuyts G, De Wael K, Bals S, Verbeeck J, Remaut H, Boschker HTS.   +26 more
europepmc   +1 more source

SOC Mismatch–Driven Inter‐Particle Synchronization via Internal Li‐Ion Transfer: An Unrecognized Electrode‐Emergent Degradation Pathway in Ni‐Rich Composite Cathodes

Advanced Energy Materials, Volume 16, Issue 39, 21 October 2026.
Composite cathode degradation is not merely the sum of its particles. Kinetically mismatched populations develop state‐of‐charge differences that drive spontaneous internal Li‐ion transfer; the accompanying transient currents accelerate surface degradation.
Seheon Oh, Suyoung Kim, Inho Kim, Kangwoo Ahn, Min Wook Pin, Minkyu Kim   +5 more
wiley   +1 more source

Validation of a polarized hyperspectral imaging (PHSI) probe using phantoms and biological tissues. [PDF]

Proc SPIE Int Soc Opt Eng
Ma L, Ha A, Cheverra I, Yuan M, Swain S, Fei B.   +5 more
europepmc   +1 more source

Multi‐modal Operando Analysis of Lithium–Sulfur Batteries: A Comparative Study on the Influence of Electrolyte Composition

Advanced Energy Materials, Volume 16, Issue 40, 28 October 2026.
The influence of different electrolytes on Lithium–sulfur batteries is investigated. Multimodal operando analysis, including Raman, UV–vis, and Impedance spectroscopy is used to study degradation mechanisms. The solubility of polysulfides in the electrolyte is crucial for battery capacity and lifetime.
Oliver Löhmann, Pouya Partovi‐Azar, Mirco Ruttert, Sebastian Risse   +3 more
wiley   +1 more source

A miniaturized wireless and passive antenna sensor with meandering structure for integrated multi-directional strain and temperature sensing. [PDF]

Microsyst Nanoeng
Guo L, Dong H, Liang S, Tian X, Fu H, Dong T, Guo L, Wu D, Tan Q.   +8 more
europepmc   +1 more source