Results 91 to 100 of about 116,653,606 (265)

Toward Pore‐Engineered 3D‐Printed Materials for Sorption Water Harvesting, Interfacial Evaporation, and Radiative Cooling

Advanced Materials, EarlyView.
Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski, Higgins M. Wilson, Abdallah Y. M. Ali, Jiaxing Xu, Ruzhu Wang, Primož Poredoš   +5 more
wiley   +1 more source

Exact Discrete Stochastic Simulation With Deep-Learning-Scale Gradient Optimization. [PDF]

Adv Sci (Weinh)
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Vilar JMG, Saiz L.
europepmc   +2 more sources

Iterative Selection of DNA Nanostructures for Cellular Uptake

Advanced Materials, EarlyView.
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar, Lisa Eichhorn, Jakub Palacka, Sandra Ly, Erik Benson   +4 more
wiley   +1 more source

A Data-Driven Deep Reinforcement Learning Framework for Real-Time Economic Dispatch of Microgrids Under Renewable Uncertainty

Energies
The real-time economic dispatch of microgrids (MGs) is challenged by the high penetration of renewable energy and the resulting source–load uncertainties.
Biao Dong, Shijie Cui, Xiaohui Wang
doaj   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Dual‐State Programmable Oxide Transistor for Time‐Based Cryptography

Advanced Materials, EarlyView.
A DUPOT enables independently tunable Vth and Isat depending on gate bias polarity, producing three‐dimensional dynamical behavior within a transfer characteristic. This behavior originates from charge trapping and oxygen‐ion migration in the HfO2 layer.
Huisu Noh, Min Gu Lee, Hwayoung Kim, Myeongchan Ko, Jungwan Noh, Taewook Go, Jingyao Yu, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +9 more
wiley   +1 more source

Intelligent HVAC Control in Residential Buildings: A Review of Advanced Techniques and AI Applications

Applied Sciences
Increasing energy demand, decarbonization commitments, and growing expectations for thermal comfort are driving the need for more adaptive and efficient climate control in residential buildings.
Ricardo Felez, Jesus Felez
doaj   +1 more source

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

Advanced Materials Interfaces, EarlyView.
This review systematically evaluates synthesis routes for tri‐ and multi‐doped graphene, from hydrothermal and pyrolysis methods to flash Joule heating, critically assessing how each governs dopant incorporation, bonding configuration, and resulting electronic properties.
Maria Hasan, Alicja Bachmatiuk, Gražyna Simha Martynková, Karla Čech Barabaszová, Mark Hermann Rümmeli   +4 more
wiley   +1 more source

Stochastic user equilibrium assignment with traffic-responsive signal control [PDF]

This paper considers the Stochastic User Equilibrium (SUE) assignment problem for a signal-controlled network in which intersection control is flow-responsive.
Claudio Meneguzzer
core  

Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication

Advanced Materials Interfaces, EarlyView.
Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley   +1 more source