Results 201 to 210 of about 116,720 (315)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Multiscale Modeling of Thermo-Electro-Mechanical Coupling of BGA Solder Joints in Microelectronic Systems of Ruggedized Computers for Signal Integrity Analysis. [PDF]

Micromachines (Basel)
Li P, Huang J, Zhang J, Gong H, Wang J, Zuo D, Su M, Shi J.   +7 more
europepmc   +1 more source

Labeling Quality or Quantity? The Differential Impact of Geographical Indications on Export Performance in Turkish Agri‐Food Products

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley   +1 more source

Formation mechanism of grinding wheel oxide layer in the ultrasonic-assisted ELID grinding of silicon carbide ceramics. [PDF]

Ultrason Sonochem
Jia X, Zhao C, Cao Y, Xu Z, Bao Y, Yin S, Zhao B.   +6 more
europepmc   +1 more source

Grid Resolution Requirements for Dns of Shock/Boundary-Layer Interactions

Computers & Fluids
Alessandro Ceci, Andrea Palumbo, Sergio Pirozzoli   +2 more
openaire   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Formation of high-aspect-ratio nanocavity in LiF crystal using a femtosecond X-ray free-electron laser pulse. [PDF]

Nat Commun
Makarov SS, Zhakhovsky VV, Grigoryev SY, Chuprov P, Pikuz TA, Inogamov NA, Khokhlov VA, Petrov YV, Perov EA, Shepelev V, Shobu T, Tominaga A, Rapp L, Juodkazis S, Makita M, Nakatsutsumi M, Preston TR, Appel K, Konopkova Z, Cerantola V, Brambrink E, Schwinkendorf JP, Mohacsi I, Vozda V, Hajkova V, Burian T, Chalupsky J, Juha L, Ozaki N, Kodama R, Zastrau U, Rode AV, Pikuz SA.   +32 more
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Dynamic response of bi-directional gradient sandwich circular plates under multiple explosive loading. [PDF]

Sci Rep
Wang H, Liu Y, Lei J, Li Z, Chen Y, Zhang J, Sun X, Peng J, Li Y.   +8 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source