Results 161 to 170 of about 294,526 (302)

Fem el que diem que fem?

La desigualtat de gènere a les ciències, tant a les aules com a l'ocupació és un tema que actualment,se'n comença a parlar més i cada cop es veu més la necessitat de fer un canvi. Partint d'una societatandrocèntrica, on la dona ha estat (o està) exclosa, on l'educació està basada en un model masculí i lesviolències de gènere es continuen perpetuant a l'
Ramis Pérez, Elena, Pipitone, Maria Carolina||   +1 more
openaire   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Integration of Mechanical Testing, In Vivo Optical Coherence Elastography and Personalized Finite Element Modeling to Predict Geometrical Outcomes of Corneal Cross-Linking. [PDF]

Ann Biomed Eng
Frigelli M, Lohmüller R, Gracia MAA, Schlunck G, Lang SJ, Torres-Netto EA, Hafezi F, Büchler P, Kling S.   +8 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Biomechanical and Aerodynamic Modulation for Sinonasal Homeostasis in Craniofacial Orthopedics: A Comprehensive Review of RAMPA Therapy. [PDF]

Biomimetics (Basel)
Mitani Y, Okai-Kojima Y, Moshfeghi M, Choi B, Hashimoto Y.   +4 more
europepmc   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

An Adaptive Coupling of Edge-Based Smoothed FEM and SPH with a Bidirectional Element-Particle Transformation Algorithm for Laser Powder Bed Fusion. [PDF]

Materials (Basel)
Suo M, Long T.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Single-Criterion Optimisation with Consideration of Uncertainties of the Composite Multi-Layer Slabs. [PDF]

Materials (Basel)
Smela P, Miller B.
europepmc   +1 more source

Fem blivande officerare & fem blivande stridspiloter

, 2009
SAMMANFATTNINGDet sägs att vi lever i ett individualistiskt och flexibelt samhälle. För den starka individen innebär detta att karriär, utveckling och privata intressen värderas högre än lojalitet gentemot arbetsgivaren. Att byta arbetsgivare under sitt yrkesverksamma liv betraktas idag mer som regel än undantag.
openaire   +1 more source