Results 161 to 170 of about 23,600 (270)

Atomic Wires of Transition Metal Chalcogenides: A Family of 1D Materials for Flexible Electronics and Spintronics. [PDF]

JACS Au, 2021
Shang C, Fu L, Zhou S, Zhao J.
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

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

Data-Driven Crystal Structure Prediction for Ternary Metal Chalcogenides. [PDF]

Chem Mater
Li T, Park H, Walsh A.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Progress of Metal Chalcogenides as Catalysts for Efficient Electrosynthesis of Hydrogen Peroxide. [PDF]

Materials (Basel)
Kim JH, Lee JG, Choi MJ.
europepmc   +1 more source

Ultra‐High Spin Hall Angle in Sputtered Sb2Te3 Topological Insulators via Pt Interfacial Engineering

Advanced Physics Research, EarlyView.
Topological insulator Sb2Te3 demonstrates exceptional charge‐to‐spin conversion efficiency and thermal stability up to 400°C, showing great promise for spin–orbit torque memory applications. This study achieves high‐quality Sb2Te3 films on silicon substrates through optimized sputtering and introduces an ultrathin Pt interlayer to suppress interfacial ...
Qi Zhang, Xu Liu, Meihong Liu, Yining Wang, Pengxiang Zhao, Hanyuan Guo, Baoshan Cui, Yalu Zuo, Xiaoxi Liu, Li Xi   +9 more
wiley   +1 more source

Auger Recombination and Carrier-Surface Optical Phonon Interaction in Van Der Waals Heterostructures Composed of Graphene and 2D Transition Metal Chalcogenides. [PDF]

Materials (Basel)
Mahdouani M, Bourguiga R, Gardelis S.
europepmc   +1 more source

Two-Dimensional Noble-Metal Chalcogenides and Phosphochalcogenides. [PDF]

Angew Chem Int Ed Engl, 2020
Kempt R, Kuc A, Heine T.
europepmc   +1 more source