Results 201 to 210 of about 29,458 (256)

W-Class States-Identification and Quantification of Bell-CHSH Inequalities' Violation. [PDF]

Entropy (Basel)
Kalaga JK, Leoński W, Peřina J.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Ultrafast Dense Immobilization of Noble Metal Nanoparticles on Customizable Multifunctional Polymer Microspheres for Heterogeneous Catalysis and Multiplexed Biodetection. [PDF]

Adv Sci (Weinh)
Zhao J, Liu X, Li D, Jing X, Wu W, He L, Tang Y, Liu Z, Zeng Y, Sha H, Qiu H, Yu X, Li W.   +12 more
europepmc   +1 more source

Engineering Trace‐Amount Electrolyte Additives for Aqueous Zinc Batteries

Advanced Energy Materials, EarlyView.
Large‐amount additives primarily modify the bulk electrolyte by coordinating with Zn2+ or reshaping the hydrogen‐bond network, thereby altering the overall solution chemistry. In contrast, trace‐amount additives mainly operate at the electrode–electrolyte interface, regulating Zn deposition through electric double‐layer modulation, interfacial ...
Zhaoxin Li, Jinhua Guo, Longjun Chang, Zhenyu Jiang, Shuchang Liu, Chao Wang, Qi Liu, Baohua Li, Zhiqiang Niu, Qing Li   +9 more
wiley   +1 more source

CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states. [PDF]

Sci Rep
Wang S, Chen K, Yu M, Zhao P, Duan H.
europepmc   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

Securing and optimizing optical transmission in quantum wells using OAM and advanced modulation techniques. [PDF]

Sci Rep
Ahmad M, Wang Z, Fang M, Huang Z, Xie G.
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

High-Speed, Pixel-Super-resolved Compressive Second Near-Infrared Fluorescence In Vivo Imaging. [PDF]

Research (Wash D C)
Pan Z, Qi D, Zhang H, Yao J, Cheng L, Xu N, Zhou C, Lin W, Ma H, Yao Y, Shen Y, Deng L, Zhang F, Sun Z, Zhang S.   +14 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source