Results 211 to 220 of about 3,944,515 (307)
Barrier‐Assisted Plasma Doping for Spatially Selective Resistance Engineering in MoS2 Transistors
Barrier‐assisted NH3 plasma doping enables damage‐free, spatially selective carrier modulation in monolayer MoS2 transistors. An ultrathin pV3D3/Al2O3 protective‐dielectric stack acts as a chemical filter that allows NHx radicals to reach the MoS2 surface while blocking plasma damage. This process achieves a high electron concentration of 4.3 × 1013 cm−
Inseong Lee +15 more
wiley +1 more source
Application of Machine Learning in Predicting the Properties of Two-Dimensional Semiconductor Materials. [PDF]
Yang J, Tang L, Wang Y, Wen J, Chen W.
europepmc +1 more source
Chloride Ions: Essential Agents for Achieving Spontaneous Delamination of MXene
This work first identifies chloride ions as essential agents for spontaneous MXene delamination. Without Cl−, etched Ti3C2Tx remains multilayered; with Cl−, interlayer modification enables Li+ intercalation and osmotic swelling. The SPEED process couples HF‐assisted Al extraction, Cl−‐mediated interlayer expansion, and Li+‐driven swelling to produce ...
Sukhyeun Jang +11 more
wiley +1 more source
Reducing Ni nanoparticle coverage on n‐Si photoanodes enhances photovoltage by promoting thicker interfacial SiOx formation during photoelectrochemical oxygen evolution reaction (OER). Experiments, analytical modeling, and finite‐element simulations reveal that coverage‐dependent chemical interface evolution, rather than geometric effects alone ...
Aarti Mathur, Ahmet Sert, Suljo Linic
wiley +1 more source
Wave propagation in a photo-thermomechanical medium with triple porosity and voids under the Lord-Shulman theory. [PDF]
Moulahi T +3 more
europepmc +1 more source
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
EPreNet: A Condition-Guided Network Accelerates Etching Profile Prediction. [PDF]
Lu M, Jin Z, Wang W, He J, Liu Q.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Time-Domain Simulation and Optimization of the Memory Window for HZO-Based FeFETs Using the NLS Model. [PDF]
Han S, Lü W, Liang Y, Dai T.
europepmc +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source

