Results 151 to 160 of about 13,216 (224)

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

The potential, perils and pitfalls of Artificial intelligence (AI) in Assisted Reproductive Technologies (ART). [PDF]

Reprod Biol Endocrinol
Garg A, Seifer DB.
europepmc   +1 more source

Design and optimization of processes for recovering rare earth elements from end‐of‐life permanent magnets

AIChE Journal, EarlyView.
Abstract Recovery of rare earth elements (REEs) from end‐of‐life (EOL) products represents a strategic opportunity to strengthen the domestic supply chain for rare earth elements. This work presents a superstructure‐based optimization framework for finding the most economical processing pathway for different EOL rare earth permanent magnets (REPMs ...
Chris Laliwala, Oluwamayowa O. Amusat, Akintomiwa Ojo, Alejandro Garciadiego, Thomas Tarka, Debangsu Bhattacharyya, Ana I. Torres   +6 more
wiley   +1 more source

Association of Abatacept With Lower Mortality Risk Compared to Rituximab in Rheumatoid Arthritis-Associated Interstitial Lung Disease: An Emulated Target Trial. [PDF]

Arthritis Rheumatol
Shih PC, Wang SI, Wei JCC.
europepmc   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

AIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi, Tomoyuki Yajima, Yoshiaki Kawajiri   +2 more
wiley   +1 more source

Beyond Vanity: The History and Power of Hairdressing

Panorama
Sarah Gold McBride
doaj   +1 more source

Patient and injection partner perspectives on barriers and facilitators to home-based administration of long-acting injectable antiretroviral therapy. [PDF]

PLoS One
Bolton AT, Bourdeau B, Rebchook G, Van Nuys J, Moore E, Buchacz K, O'Shea J, Saberi P.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Incidence of AIDS-Defining Conditions Among Adults With Perinatally Acquired HIV After Transition to Adult HIV Care in the United States and Canada, 2000-2022. [PDF]

Clin Infect Dis
Haw NJL, Lesko CR, Ng DK, Lam JO, Gebo K, Sterling TR, Rabkin CS, Li J, Buchacz K, Agwu A, Althoff K, North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) .   +11 more
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source