Results 121 to 130 of about 2,318,055 (330)

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Gradients of Latvian Magnetic Anomalies

This article discusses one of the most important geophysical factors, which produces an impact on the demographic processes and reflects the nature of variability in the anomalous magnetic field intensity in space.
Vetreņņikovs, Vladimirs
core  

Prediction of Minimum Horizontal Stress Using Machine Learning for Unconventional Reservoir Applications

International Journal of Chemical Engineering
This study presents a leakage-aware machine learning framework for predicting minimum horizontal stress (σhmin) using structured geomechanical and fracture-related parameters. A dataset comprising 21,499 records from approximately 200 horizontal wells in
Ebenezer Leke Odekanle, AbdulQoyum Adegoke Olowookere, Omolara Busayo Ajediti, Bambo Ayo Adeyanju, Sunday Adeola Ajagbe, Matthew O. Adigun   +5 more
doaj   +1 more source

Determination of Anomaly Source Border Using Reweighting Focusing Inversion of Two-Dimensional Gravity Horizontal Gradient Data and Conventional Edge Detection Methods (Case Study: A Chromite Mass in Sabzevar, Iran)

Geofísica Internacional
There are numerous methods to detect the edge of gravity and magnetic field anomaly source, most of which are based on the combination of first and second-order horizontal and vertical gradients of the potential field.
Mahsa Kabiri, Zohreh Sadat Riazi Rad
doaj   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Concentration Gradients at Horizontal Electrodes [PDF]

Journal of The Electrochemical Society, 1966
openaire   +2 more sources

Convection in Horizontal Temperature Gradients [PDF]

Geophysical Journal of the Royal Astronomical Society, 2010
openaire   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Assessment and Validation of Small-Scale Tropospheric Delay Estimations Based on NWP Data

Sensors
This paper investigates the applicability of the Numerical Weather Prediction (NWP) data for characterizing the gradient of zenith wet delay in horizontal direction observed on short baselines over larger territories.
Jan Erik Håkegård, Mohammed Ouassou, Nadezda Sokolova, Aiden Morrison   +3 more
doaj   +1 more source