Results 161 to 170 of about 3,934,777 (280)
Evaluation of Biopolyurethane/Barley Straw-Based Engineered Wood Composites. [PDF]
Vėjelis S +5 more
europepmc +1 more source
Underground Signals: The Ecological Power of Root Volatiles
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao +31 more
wiley +1 more source
Bio-Based Wood Adhesives: Current Advances in Polymer Architecture and Structure-Property-Sustainability Integration. [PDF]
Dangwilailux P +5 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Valorisation of waste OSB into sustainable mycelium-based composites for insulation applications. [PDF]
Wildman J +4 more
europepmc +1 more source
Ethical Precision in Nanoscale Brain Interfacing
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Engineered Activated Carbons for Multi-Radionuclide Removal from Real Low-Level Radioactive Wastewater. [PDF]
Khan M +5 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Cell-Wall-Engineered Wood Enabling Metal-and-Adhesive-Free Cross-Laminated Timber. [PDF]
Zhang S +10 more
europepmc +1 more source
Short‐range order in 2D transition metal dichalcogenides is revealed as a new design paradigm. Driven by chemical affinity and atomic size, it governs properties across scales. Weak ordering tunes site‐resolved magnetism and d‐band centers, while strong ordering eliminates gap states to open band gaps.
Hanyu Liu +3 more
wiley +1 more source

