Results 191 to 200 of about 6,316,739 (326)
Carbon market price prediction in the Yangtze River Basin based on improved deep learning ensemble model with CEEMDAN and Attention-RNN. [PDF]
Lu Z, Cao Z, Xiang Z, Li J, Li M.
europepmc +1 more source
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
Digital assets: risks, regulations, mitigation. [PDF]
Teng HW +30 more
europepmc +1 more source
Phase‐Field simulations are carried out to elucidate nanomorphology formation mechanisms in organic photoactive layers under thermal annealing. The predicted bulk heterojunction structures are in excellent agreement with Scanning Electron Microscopy measurements.
Maxime Siber +3 more
wiley +1 more source
Genomic Profiling Reveals Clinically Relevant Antimicrobial Resistance and Virulence Genes in <i>Klebsiella pneumoniae</i> from Hong Kong Wet Markets. [PDF]
Ngan WY, Rao S, Fung AHY, Habimana O.
europepmc +1 more source
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source
RF-LSTM carbon price prediction based on CEEMDAN decomposition and multiscale entropy reconstruction. [PDF]
Wang H, Li Y.
europepmc +1 more source
AP‐Lab bridges materials discovery and industrial manufacturing by coupling proprietary datasets with an application benchmark (PCR Ct). A closed‐loop optimization workflow integrates ML, LLM, and autonomous synthesis/testing to refine magnetic nanoparticles–based nucleic‐acid extraction systems.
Zhan‐Long Wang +12 more
wiley +1 more source
Integrated forecasting and deep reinforcement learning for price-based self-scheduling of PV-BESS: Utility-scale evidence in Chile. [PDF]
Pérez J, Lobos G, Bonacic M.
europepmc +1 more source
Using Dopants as Agents to Probe Key Electronic Properties of Organic Semiconductors
Dopants are typically used in organic electronics to enhance conductivity, but here their potential is demonstrated as probes for fundamental material properties. By integrating experimental data and multiscale simulations, it is shown how dopant ionization and conductivity measurements enable accurate extraction of ionization potential and Coulomb ...
Artem Fediai +3 more
wiley +1 more source

