Results 181 to 190 of about 53,071 (272)

Observation of the Charge Density Wave Excitonic Order Parameter in Topological Insulator Monolayer WTe₂. [PDF]

ACS Nano
Watson L, Ripoll J, Tong Z, Kumar A, Que Y, Chan YH, Lin H, Mukherjee S, Garnica M, Edmonds MT, Papaj M, Vazquez de Parga AL, Weber B, Di Bernardo I, Fuhrer MS.   +14 more
europepmc   +1 more source

Role of Rare‐Earth Lanthanum Doping on Electrical Performance and Stability of Atomic Layer Deposition Processed Indium Oxide Thin‐Film Transistors

Advanced Electronic Materials, EarlyView.
The work demonstrates La doping in In2O3 via ALD super‐cycles. The strong La─O bond suppresses oxygen vacancies, resulting in a decrease in mobility and a positive shift in threshold voltage. The effective suppression of VO decreases oxygen‐related defects under gate bias, leading to exceptional negative bias stability.
Jinxiu Zhao, Zhiyu Lin, Ziheng Wang, Liankai Zheng, Kai Jiang, Haoran Zhao, Mengwei Si   +6 more
wiley   +1 more source

Ion‐Lock Storage With Multi‐Logic Circuitry Gated by Polar–Dipolar Interactions in Poly(Ionic Liquids)

Angewandte Chemie, EarlyView.
Precise building block design of poly(ionic liquids) creates an opportunity to achieve ionic conductivity, energy storage, and multi‐value logic in one material while eliminating elaborate fabrication processes. ABSTRACT In these studies, we developed a new generation of polymeric materials capable of electrical energy storage and forming higher‐than ...
Sourav Biswas, Jiahui Liu, Jack Austin, Marek W. Urban   +3 more
wiley   +2 more sources

Proximity induced signatures of elusive Bose metal phase in topological insulator- superconductor junction. [PDF]

Sci Rep
Yadav R, Kaur M, Saravanan MP, Husale S.
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

Topological insulators [PDF]

Scholarpedia, 2015
openaire   +2 more sources

Antiferromagnetic topological insulator with selectively gapped Dirac cones. [PDF]

Nat Commun, 2023
Honma A, Takane D, Souma S, Yamauchi K, Wang Y, Nakayama K, Sugawara K, Kitamura M, Horiba K, Kumigashira H, Tanaka K, Kim TK, Cacho C, Oguchi T, Takahashi T, Ando Y, Sato T.   +16 more
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

Realization of a three-dimensional photonic higher-order topological insulator. [PDF]

Nat Commun
Wang Z, Meng Y, Yan B, Zhao D, Yang L, Chen J, Cheng M, Xiao T, Shum PP, Liu GG, Yang Y, Chen H, Xi X, Zhu ZX, Xie B, Gao Z.   +15 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source