Results 101 to 110 of about 51,080 (235)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Is there a speed-accuracy trade-off in reading?

The relationship between speed and comprehension remains a pivotal and highly debated topic in the field of reading research within cognitive science. While commercial programs claim to enhance reading rates without comprehension loss, there is limited empirical evidence to support such claims.
openaire   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source

Nonplanar Bouligand Architectures for Enhanced Mechanical Performance in Cementitious Composites

Advanced Materials, EarlyView.
Inspired by the impact region of the Mantis shrimp dactyl club, nonplanar additive manufacturing translates sinusoidal Bouligand architectures into cementitious composites. Printing‐induced anisotropy and architected interfaces promote distributed damage and arrest crack propagation, enhancing strength and energy absorption.
Yu Wang, Loukham Shyamsunder, Phani Saketh Dasika, Andrew Nguyen, David Kisailus, Jan Olek, Jeffrey P. Youngblood, Pablo D. Zavattieri   +7 more
wiley   +1 more source

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

Advanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee, Hyoungwook Cho, Sang Heon Lee, Ohhyun Kwon, Minil Kang, Dong Gyu Lee, Seongwon Lee, Tae Kyung Lee, Gyeong Min Lee, Minseong Um, Sung Su Yoon, Gayoung Ham, Hyojung Cha, Hyungju Ahn, SungWoo Nam, Hyung‐Min Lee, Jae Won Shim   +16 more
wiley   +1 more source

Speed-accuracy trade-offs in Roulette betting

To investigate real-time decision-making in a simplified context, we analyze the trade-offs individuals make using a game of Roulette. In this game, players observe a ball that gradually decelerates as it moves around a circular track, and the participants must predict where the ball will ultimately stop. Players are rewarded for making rapid, accurate
Siheng Chen, S Ganga Prasath, Andrew Marantan, L Mahadevan   +3 more
openaire   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Pupillometric investigation into the speed-accuracy trade-off in a visuo-motor aiming task. [PDF]

Psychophysiology, 2020
Naber M, Murphy P.
europepmc   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source