Results 211 to 220 of about 60,447 (263)

AI-Driven Defect Engineering for Advanced Thermoelectric Materials. [PDF]

Adv Mater
Fu CL, Cheng M, Hung NT, Rha E, Chen Z, Okabe R, Carrizales DC, Mandal M, Cheng Y, Li M.   +9 more
europepmc   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches. [PDF]

PLoS One
Fazal M, Kanwal S, Raza MT, Razzaque A.
europepmc   +1 more source

Synergetic Lattice and Surface Engineering: Stable High‐Voltage Cycle Performance in P3‐Type Layered Manganese Oxide

Advanced Energy Materials, EarlyView.
A dual lattice‐surface strategy employing NaTi2(PO4)3 is adopted to enhance the performance of P3‐type Na0.67[Zn0.3Mn0.7]O2, whereby Ti stabilizes the bulk lattice and surface P species mitigate degradation, collectively improving high‐voltage cycling stability, Na+ diffusion, and oxygen redox reversibility through synergistic structural and ...
Natalia Voronina, Konstantin Köster, Jun Ho Yu, Sungkyu Kim, A‐Yeon Kim, Hun‐Gi Jung, Kyuwook Ihm, Koji Yazawa, Hitoshi Yashiro, Aishuak Konarov, Mark Huijben, Olivier Guillon, Payam Kaghazchi, Seung‐Taek Myung   +13 more
wiley   +1 more source

A quantum-driven multi-stage framework integrating variational entanglement, reinforcement learning, and federated explainability for climate-resilient farming. [PDF]

Sci Rep
Khan AH, Saini DKJB, Khan TH, Rai BK, Pimpalkar A, Kumar G.   +5 more
europepmc   +1 more source

Decoding Short‐Range Order in Amorphous Two‐Dimensional Nanosheets for Efficient and Durable Ampere‐Level Seawater Electrolysis: A Case Study of Amorphous Ni(OH)2

Advanced Energy Materials, EarlyView.
This work uncovers the atomic‐scale origins of exceptional HER performance in amorphous Ni(OH)2 nanosheets by combining atom probe tomography, DFT simulations, and operando spectroscopy. We identify distinct short‐range‐order motifs that accelerate water dissociation, proton transport, and hydrogen adsorption. Embedding Pt single atoms further enhances
Xin Geng, Xiaolong Lu, Zhi Mei, Zhenyu Wang, Baptiste Gault   +4 more
wiley   +1 more source

Enhanced Key Node Identification in Complex Networks Based on Fractal Dimension and Entropy-Driven Spring Model. [PDF]

Entropy (Basel)
Zhou Z, Huang X, Li Z, Jiang W.
europepmc   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Information entropy and relative entropy models for analyzing structural robustness in airway networks. [PDF]

Sci Rep
Zhao K, Li Y, Ren G, Zhang Z.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source