Results 231 to 240 of about 1,257,183 (296)

Multi-modal data fusion and deep reinforcement learning for dynamic resource scheduling in intelligent manufacturing systems under variable market demand. [PDF]

Sci Rep
Wu X.
europepmc   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Fair Workweek laws in the US: An appraisal of intended and unintended consequences. [PDF]

Sci Adv
Schneider D, Harknett K, Arbelaez D.
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Dynamic-opposite learning enhanced meta-heuristic approach for solving multiple industrial optimization problems. [PDF]

Sci Rep
Wu H, Li L, Wang G, Yang Z, Shi B.
europepmc   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

Advanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz, Ramin Yazdaanpanah, Yongfeng Guo, Pouriya Naziri, Sachin Kulkarni, Martina Mercurio, Maria Cristina Larciprete, Ilaria Fratoddi, Paul Simon, Wan‐Lu Li, Koray Aydin, Umut Aydemir   +11 more
wiley   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

Advanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani, Paulius Imbrasas, Jan‐Michael Mewes, Felix Kaden, Stephanie Anna Buchholtz, Karl Leo, Sebastian Schellhammer, Carsten Rothe, Sebastian Reineke   +8 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source