A Comprehensive Machine Learning Model for Metal-Ligand Binding Prediction: Applications in Chemistry and Biology. [PDF]
Karunaratne E, Zahariev F, García MP.
europepmc +1 more source
Nanostructured Protein Surfaces Inspired by Spider Silk
Harnessing recombinant spider silk technology, bioengineered spidroin variants enable the creation of functionalized nanostructured coatings with tunable affinity for specific targets, supporting a broad range of applications ‐ from antifouling surfaces and targeted drug delivery to advanced cell therapies and precision bio‐patterning via lithography ...
Martin Humenik, Thomas Scheibel
wiley +1 more source
Anterior Cruciate Ligament Reconstruction Rehabilitation as a Complex Adaptive Process: From Control-Chaos to Actionable Return-to-Sport Decisions. [PDF]
Kakavas G, Malliaropoulos N, Forelli F.
europepmc +1 more source
Biological and biologically‐inspired functional nanostructures with structural, thermal, optical, and sensing applications are reviewed. The role of nanoscale features in biological materials on performance is described, and their blueprints are used for bio‐inspired nanomaterials, synthesized using advanced techniques (i.e., photolithography, bio ...
Chao Hsuan (Joseph) Sung +15 more
wiley +1 more source
Data-driven exploration of Na-Bi compounds: a first-principles and machine learning approach to topological thermoelectrics. [PDF]
Goumri-Said S +4 more
europepmc +1 more source
Developing robust catalysts for ammonia electrochemical oxidation (AOR) is essential for advancing NH3 utilization technologies. This review summarizes recent progress in catalyst design and mechanistic understanding of AOR. In addition, it systematically investigates strategies to improve AOR performance for various types of catalysts.
Yike Ye +4 more
wiley +1 more source
Solvation strategies for free-energy calculations in a halogen-bonded complex: implicit, explicit, and machine learning approaches. [PDF]
Vacek J +4 more
europepmc +1 more source
Synthesizer: Chemistry‐Aware Machine Learning for Precision Control of Nanocrystal Growth
A new, data‐efficient approach to CsPbBr3 nanocrystal optimization combines chemical and physical insights with a Gaussian Process‐based machine learning algorithm. Implementation of the “Synthesizer” enables nm‐precise tuning of the emission wavelength while reducing experimental load in optimizing peak narrowness and photoluminescence quantum yield ...
Nina A. Henke +11 more
wiley +1 more source
Cross-Lagged Relationships Between Cognitive Ability and Math Achievement. [PDF]
Fiedler D, Barton S, Kipman U.
europepmc +1 more source
Recent Advances in Reactive Microdroplets for Clean Water and Energy
Reactive microdroplets enable precise and sustainable chemistry at small scales. This review explores their role as confined reactors and dynamic interfaces for synthesizing functional materials, fuels, and microdevices. It offers a critical perspective on how droplet‐based platforms can drive next‐generation technologies in clean energy, environmental
Qiuyun Lu +4 more
wiley +1 more source

