Results 211 to 220 of about 3,514,072 (290)

A Low Voltage-Powered Flexible Electroosmotic Actuator for Wearable Haptics. [PDF]

Small
Fu X, Liu J, Gao J, Xu J, Huang J, Liu K.   +5 more
europepmc   +1 more source

Barrier‐Assisted Plasma Doping for Spatially Selective Resistance Engineering in MoS2 Transistors

Advanced Materials, EarlyView.
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, Joonho Park, Seungsun Yoo, Seunghyun Yu, Mingu Kang, Seohak Park, Min Kyu Lee, Hyeongjin Lim, Dongyoung Kim, Kunwoo Roh, Sejin Kim, Kihyuk Kim, Wonbae Ahn, Kibum Kang, Yong‐Hoon Kim, Sung‐Yool Choi   +15 more
wiley   +1 more source

A physical reservoir involving frequency virtual nodes for structural damage detection. [PDF]

Sci Rep
Takashima K, Watanabe N, Hiraga M, Miura N, Masuda A.   +4 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
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

AI-Empowered Nuclear Medicine Education, Part 3: Practical AI Applications for Learners. [PDF]

J Nucl Med Technol
Jacobs KM, Peacock JG.
europepmc   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Delaying task failure in high-intensity exercise: a Pi-afferent-effort framework for targeted sports nutrition. [PDF]

J Int Soc Sports Nutr
Stout JR, Housh TJ, Bergstrom HC.
europepmc   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
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, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Direct Growth of 2D Bilayers on Au(111) for Low‐Coercive Sliding Ferroelectricity

Advanced Materials, EarlyView.
Controlled CVD growth of stacking‐defined bilayer ReS2 on Au(111) enables parallel‐stacked bilayers with intrinsic sliding ferroelectricity, a strong piezoelectric response, and an ultralow coercive voltage. Atomic‐resolution imaging and in situ measurements further reveal the decisive role of clean interfaces in achieving low‐barrier ferroelectric ...
Honglin Chen, Ke Yang, Yuhuan Li, Lingli Huang, Tianren Chen, Ming Yang, Jiong Zhao, Thuc Hue Ly   +7 more
wiley   +1 more source

An octopamine-glutamate cotransmitting neuron gates aggressive escalation through layered inhibition in <i>Drosophila</i>. [PDF]

Sci Adv
Prunier A, Sherer LM, Da Silva M, Chong S, Bihl L, Stowers RS, Certel SJ, Trannoy S.   +7 more
europepmc   +1 more source