Results 91 to 100 of about 314,787 (265)

Digital Discovery of Synthesizable Metal−Organic Frameworks via Molecular Dynamics‑Informed, High‑Fidelity Deep Learning

Advanced Functional Materials, EarlyView.
Tabular foundation model interrogates the synthetic likelihood of metal−organic frameworks. Abstract Metal–organic frameworks (MOFs) are celebrated for their chemical and structural versatility, and in‑silico screening has significantly accelerated their discovery; yet most hypothetical MOFs (hMOFs) never reach the bench because their synthetic ...
Xiaoyu Wu, Rui Zheng, Quan Liu, Jianwen Jiang   +3 more
wiley   +1 more source

Effective Quantised CSI‐Fingerprint for DL‐Based Indoor Localisation

IET Wireless Sensor Systems
In recent years, indoor localisation based on channel state information (CSI) fingerprint has been actively researched because of the rapid growth of the Internet of Things (IoT).
Seiha Homma, Yuta Ida, Yasuaki Ohira, Sho Kuroda, Takahiro Matsumoto   +4 more
doaj   +1 more source

Utilizing Transfer Learning and Homomorphic Encryption in a Privacy Preserving and Secure Biometric Recognition System

Computers, 2018
Biometric verification systems have become prevalent in the modern world with the wide usage of smartphones. These systems heavily rely on storing the sensitive biometric data on the cloud.
Milad Salem, Shayan Taheri, Jiann-Shiun Yuan   +2 more
doaj   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Gyroscope-Based Smartphone Model Identification via WaveNet and EfficientNetV2 Ensemble

IEEE Access
Smartphone model detection through sensor data is important for enhancing security protocols, preventing device fraud, and ensuring authorized service access.
Erkan Kiymik, Ali Emre Ozturk
doaj   +1 more source

Bio‐Inspired Nanoarchitected LiFePO4 Cathodes

Advanced Functional Materials, EarlyView.
Lithium iron phosphate (LFP) is synthesized using a bio‐inspired method, using acidic macromolecules similar to those found in many calcareous mineralized organisms to modulate the morphology and crystal growth of LFP‐carbon composite particles. The observations from this process indicate a non‐classical crystallization process, which subsequently ...
Parawee Pumwongpitak, Ibrahim El‐Halees, Martyn Kim, Andrew Sanchez, Zachery Robinson, Taifeng Wang, Krassimir Bozhilov, Siriporn Larpkiattaworn, David Kisailus   +8 more
wiley   +1 more source

Development of KASP markers, SNP fingerprinting and population genetic analysis of Cymbidium ensifolium (L.) Sw. germplasm resources in China

Frontiers in Plant Science
Cymbidium ensifolium (L.) Sw. is a valuable ornamental plant in the genus Cymbidium, family Orchidaceae, with high economic and ecological significance.
Baoming Shen, Airong Shen, Yun Tan, Lina Liu, Sainan Li, Zhuming Tan   +5 more
doaj   +1 more source

Transition From Lattice Oxygen to Radical‐Mediated Oxidation in Ammonium‐Intercalated Birnessite Catalysts for Selective Valorization of Biomass to Produce Formic Acid

Advanced Functional Materials, EarlyView.
The catalytic valorization of biomass represents an essential approach for achieving sustainable chemical production, with formic acid (FA) being recognized as a valuable platform chemical for hydrogen storage and environmentally friendly synthetic applications.
Yiqi Geng, Wei Xiong, Wenhua Xue, Jian Ye, Puranjan Mishra, Rajenahally V. Jagadeesh, Jun Zhao   +6 more
wiley   +1 more source

Protein-Based Fingerprint Analysis for the Identification of Ranae Oviductus Using RP-HPLC

Molecules, 2019
This work demonstrated a method combining reversed-phase high-performance liquid chromatography (RP-HPLC) with chemometrics analysis to identify the authenticity of Ranae Oviductus.
Yuanshuai Gan, Yao Xiao, Shihan Wang, Hongye Guo, Min Liu, Zhihan Wang, Yongsheng Wang   +6 more
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source