Results 151 to 160 of about 21,566 (301)

Cadmium and Zinc‐Doped p‐type Sb2Se3 Single Crystals and Solar Cells

Advanced Energy and Sustainability Research, EarlyView.
Cd and Zn were assessed as candidate p‐type dopants in Sb2Se3 single crystals in concentrations between 1016‐1020 cm−3. Both are effective in inducing p‐type conductivity, however Cd doped crystals exhibit lower resistivity across a wider range of dopant levels.
Thomas P. Shalvey, Theodore D. C. Hobson, Frank Herklotz, Reelika Kaupmees, Aeshah A. Almushawwah, Bradley G. Lewis, Christopher H. Don, Sean R. Kavanagh, David O. Scanlon, Vin Dhanak, Maarja Grossberg‐Kuusk, Eduard Lavrov, Ken Durose, Jonathan D. Major   +13 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Crater Observing Bioinspired Rolling Articulator (COBRA)

Advanced Intelligent Systems, EarlyView.
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame, Henry Noyes, Eric Sihite, Arash Kalantari, Alireza Ramezani   +4 more
wiley   +1 more source

All-Oxide Thermoelectric Module with in Situ Formed Non-Rectifying Complex p-p-n Junction and Transverse Thermoelectric Effect. [PDF]

ACS Omega, 2018
Kanas N, Bittner M, Desissa TD, Singh SP, Norby T, Feldhoff A, Grande T, Wiik K, Einarsrud MA.   +8 more
europepmc   +1 more source

Toward More Autonomous Soft Robots: Development and Characterization of a 3D‐Printed Pneumatic Contact Sensor for a Six‐Legged Soft Robotic Walker

Advanced Intelligent Systems, EarlyView.
This article introduces a fully 3D‐printed, electronics‐free sensory system for a six‐legged soft robot, enabling adaptive responses such as obstacle detection and directional changes using pneumatic logic gates. The design demonstrates efficient, robust operation through rapid sensor feedback and autonomous functionality, highlighting new ...
Philipp Auth, Stefan Conrad, Noah Knorr, Joscha Teichmann, Sebastian Ruppert, Thomas Speck, Falk Tauber   +6 more
wiley   +1 more source

Organic π-type thermoelectric module supported by photolithographic mold: a working hypothesis of sticky thermoelectric materials. [PDF]

Sci Technol Adv Mater, 2018
Satoh N, Otsuka M, Ohki T, Ohi A, Sakurai Y, Yamashita Y, Mori T.   +6 more
europepmc   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Temperature Variations in a Flexible Thermoelectric Module with an Evaporative Heat Sink. [PDF]

Materials (Basel)
Jangas M, Dąbrowska A, Starzak Ł, Pękosławski B, Kmiecik A, Jachowicz M, Ordysiński S.   +6 more
europepmc   +1 more source