Results 221 to 230 of about 103,204 (298)

Text Mining of CVD Synthesis Recipes for 2D Materials

Advanced Materials, EarlyView.
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu, Richard A. Chen, Aijia Yao, Meng‐Chi Chen, Ji‐Hoon Park, Tianyi Zhang, Xudong Zheng, Nannan Mao, Jiangtao Wang, Zhien Wang, Tomás Palacios, Jing Kong   +11 more
wiley   +1 more source

Simulation and Optimization of Ballistic-Transport-Induced Avalanche Effects in Two-Dimensional Materials. [PDF]

Nanomaterials (Basel)
Wang H, Zhang W, Wu H, Li T, Cheng B, Luo J, Jiang R, Cai M, Huang S, Song H.   +9 more
europepmc   +1 more source

Kelvin Probe Force Microscopy in Bionanotechnology: Current Advances and Future Perspectives

Advanced Materials, EarlyView.
Kelvin probe force microscopy (KPFM) enables the nanoscale mapping of electrostatic surface potentials. While widely applied in materials science, its use in biological systems remains emerging. This review presents recent advances in KPFM applied to biological samples and provides a critical perspective on current limitations and future directions for
Ehsan Rahimi, Mario Palacios‐Corella, Arjan Mol, Salvador Pané, Josep Puigmartí‐Luis   +4 more
wiley   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Total Ionizing Dose Effect Simulation Study on 130 nm CMOS Processor. [PDF]

Micromachines (Basel)
Liu Y, Liu Y, Liao X, Xu C, He Y, Yang Y.   +5 more
europepmc   +1 more source

A Functional 2D Carbon Allotrope Combining Nanoporous Graphene and Biphenylene Segments

Advanced Materials, EarlyView.
The synthesis of a novel nanoporous graphene (NPG) is reported with biphenylene segments via thermal fusion of 12‐armchair porous graphene nanoribbons grown on gold surfaces. Characterization using STM, AFM, and DFT reveals low‐defect semiconducting behaviour and tunable band gaps.
Paula Angulo‐Portugal, Martin Irizar, Longfeng Huang, Mamun Sarker, Mustafa A. Ashoush, Zakaria M. Abd El‐Fattah, Johannes Barth, Frederik Schiller, Afaf El‐Sayed, Fei Gao, Dimas G. de Oteyza, Alexander Sinitskii, Aran Garcia‐Lekue, Martina Corso, Ignacio Piquero‐Zulaica   +14 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Transient thermoelastic and carrier wave behavior in laser-excited cylindrical semiconductor metamaterial disc. [PDF]

Sci Rep
Alshehri AM, Lotfy K.
europepmc   +1 more source

A Battery-Free, Data-Informed UV Dose Sensor Made of Laser-Induced Graphene and Bio-Derived Electrolytes. [PDF]

Micromachines (Basel)
Chimerad M, Borjian P, Kashem FB, Rajaraman S, Cho HJ.   +4 more
europepmc   +1 more source

A review of applications of machine learning in quantum dots research. [PDF]

Discov Nano
Malashin I, Martysyuk D, Nelyub V, Borodulin A, Gantimurov A, Tynchenko V.   +5 more
europepmc   +1 more source