Results 191 to 200 of about 154,173 (259)

AP‐Lab: An AI‐Driven Autonomous Pilot‐Scale Platform Bridging Materials Discovery and Industrial Manufacturing

Advanced Science, EarlyView.
AP‐Lab bridges materials discovery and industrial manufacturing by coupling proprietary datasets with an application benchmark (PCR Ct). A closed‐loop optimization workflow integrates ML, LLM, and autonomous synthesis/testing to refine magnetic nanoparticles–based nucleic‐acid extraction systems.
Zhan‐Long Wang, Zhifen Ma, Wenxing Song, Guolai Jiang, Boshi Jiang, Mingyang Jiang, Weiliang Shu, Bing Wang, Zhiyuan Wan, Shengyong Geng, Zhen Zhao, Wenhua Zhou, Xue‐Feng Yu   +12 more
wiley   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

Classical Data in Quantum Machine Learning Algorithms: Amplitude Encoding and the Relation Between Entropy and Linguistic Ambiguity. [PDF]

Entropy (Basel)
Eisinger J, Gauderis W, Huybrecht L, Wiggins GA.   +3 more
europepmc   +1 more source

Toward Complete CO2 Electroconversion: Status, Challenges, and Perspectives

Advanced Energy Materials, EarlyView.
Electrocatalytic CO2 reduction and CO2 batteries face challenges in achieving complete CO2 conversion with high conversion rates and Faradaic efficiency simultaneously. Existing systems compromise one for the other with incomplete CO2 conversion and inefficiencies, hindering practical applications. This perspective highlights state‐of‐the‐art progress,
Changfan Xu, Ping Hong, Yulian Dong, Marc Robert, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks. [PDF]

Sci Rep
Verma VR, Nishad DK, Sharma V, Singh VK, Verma A, Shah DR.   +5 more
europepmc   +1 more source

Shedding Light on Common Misinterpretations in Photocatalyst Characterization

Advanced Energy Materials, EarlyView.
For heterogeneous semiconductor‐based photocatalysts, Marschall et al. highlight common misconceptions in material synthesis, characterization, and performance evaluation, together with detailed explanations on how to avoid them. The guidelines thus presented can help to improve reporting of photocatalyst performance in environmental applications, such
Roland Marschall, Lion Schumacher, Jennifer Strunk   +2 more
wiley   +1 more source

Quantum machine learning enhanced laser speckle analysis for precise speed prediction. [PDF]

Sci Rep
Chen Y, Han W, Bin G, Wu S, Morgan SP, Sun S.   +5 more
europepmc   +1 more source

Advances in Thermoelectric Thin Films Grown by Atomic Layer Deposition: A Critical Review of Performance and Challenges

Advanced Energy Materials, EarlyView.
This review highlights the use of atomic layer deposition (ALD) for fabricating thermoelectric thin films with atomic‐scale control. Four material classes—chalcogenides, doped oxides, ternary oxides, and multilayered structures—are compared in terms of growth dynamics, structure–property relationships, and thermoelectric performance. The precise tuning
Jorge Luis Vazquez‐Arce, Dong‐Ho Shin, Shuyue Yao, Shiyang He, Kornelius Nielsch, Amin Bahrami   +5 more
wiley   +1 more source

Overcoming the coherence time barrier in quantum machine learning on temporal data. [PDF]

Nat Commun
Hu F, Khan SA, Bronn NT, Angelatos G, Rowlands GE, Ribeill GJ, Türeci HE.   +6 more
europepmc   +1 more source

Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes

Advanced Energy Materials, EarlyView.
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran, Jiaming Huang, Hao Xia, Rakesh Rajendran Nair, Shen Xing, Gang Li, Karl Leo, Johannes Benduhn   +7 more
wiley   +1 more source