Results 191 to 200 of about 2,687 (264)

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

open access: yesAdvanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su   +5 more
wiley   +1 more source

Political Beliefs and Legitimacy of Government Restrictions During the COVID-19 Pandemic. [PDF]

open access: yesBehav Sci (Basel)
Palace M   +6 more
europepmc   +1 more source

Green and Low‐Carbon Synthesis of Lithium Sulfide (Li2S): From Fundamental Mechanisms to Scalable Manufacturing for Next‐Generation Energy Storage

open access: yesAdvanced Science, EarlyView.
This review focuses on green synthesis routes for lithium sulfide (Li2S)—a key material for lithium–sulfur batteries and sulfide solid electrolytes, whose traditional carbothermal reduction remains energy‐intensive and unsustainable. Specifically examined routes include low‐temperature solid‐state reactions, magnesiothermal reduction, and solution ...
Aiping Peng   +11 more
wiley   +1 more source

Thermally Assisted Photocatalytic Dehydrogenation of Methanol in Continuous Steady‐State Operation

open access: yesAdvanced Science, EarlyView.
Thermally assisted photocatalytic methanol dehydrogenation on Pt/TiO2 enables formaldehyde and hydrogen production far beyond thermodynamic limits. Continuous operation delivers up to 95% selectivity over 70 h, and oxygen microdosing strongly boosts conversion by regenerating surface oxygen sites.
Stubenrauch Florian   +8 more
wiley   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

open access: yesAdvanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy