Results 181 to 190 of about 3,999,163 (365)
Advanced Materials, EarlyView.This study presents a polyanhydride‐based delivery platform for single‐injection, self‐boosting vaccines. The system enables programmable, pulsatile release of diphtheria toxoid with high antigen recovery and is guided by machine learning for tunability. In vivo results show immune responses comparable to multi‐dose regimens, highlighting its potential
Linzixuan Zhang +17 more
wiley +1 more source
Creating the CIPRES Science Gateway for inference of large phylogenetic trees
Grid Computing Environments, 2010 Mark A. Miller +2 more
semanticscholar +1 more source
Multitarget Generate Electrolyte Additive for Lithium Metal Batteries
Advanced Materials, EarlyView.This study presents a deep learning‐assisted generative model for electrolyte additives in lithium metal batteries (LMBs). The approach overcomes data scarcity by proposing the molecular categorization method and achieves 100% generative efficiency.
Xiangyang Liu +12 more
wiley +1 more source
Advanced Materials, EarlyView.An optimization model for zinc anodes centered on anion traction in a low‐concentration electrolyte system is proposed. The fluoride‐ion enriched interfacial layer on the zinc anode surface enhances the concentration of Zn2+ in a lateral direction through electrostatic forces, thereby facilitating horizontal zinc plating.
Yiyang Zhang +9 more
wiley +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
Advanced Materials, EarlyView.This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue +5 more
wiley +1 more source
3. The Sacred Fig-Tree of the A-Kikuyu of East Africa [PDF]
, 1913 Mervyn W. H. Beech
openalex +1 more source
Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
wiley +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source
Trees; a handbook of forest-botany for the woodlands and the laboratory
, 1910 openalex +2 more sources