Results 141 to 150 of about 186,250 (297)

On the Role of Reaction Current Distribution to Attain Competitive Solid‐State Batteries

Angewandte Chemie, EarlyView.
We conducted a case study on reaction current inhomogeneities when increasing areal loadings and charging rates in NCM‐argyrodite composite cathodes for solid‐state batteries. Using a combination of cycling experiments and operando high‐energy X‐ray diffraction, we show that employing faster conducting Li5.5PS4.5Cl1.5 instead of Li6PS5Cl as catholyte ...
Johannes Hartel, Lukas Ketter, Eva Schlautmann, Erik Šimon, Karol Végsö, Poongodi Ayyanusamy, Tim Bernges, Peter Siffalovic, Wolfgang G. Zeier   +8 more
wiley   +2 more sources

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Hydrogels Under Superchaotropic Control: Polyoxometalate Stabilization and pH‐Responsive Crosslinking in Cellulose Ether Solutions

Angewandte Chemie, EarlyView.
Superchaotropic binding of Keggin polyoxometalates (POMs) to non‐ionic biopolymers like cellulose ethers (CEs) stabilizes otherwise hydrolytically unstable POMs in aqueous solution and allows conversion of pH‐nonresponsive polymers into pH‐responsive soft materials. The pH‐driven conversion from plenary to lacunary POMs switches superchaotropic binding
Vighnesh B. Lokare, Amina Ledinic, Nina Wehr, Max Hohenschutz   +3 more
wiley   +2 more sources

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Site‐Selective B─H Activation via HAT Toward Xanthyl‐closo‐Carboranes as Bench‐Stable Precursors of Organosulfur Boron Clusters

Angewandte Chemie, EarlyView.
A light mediated direct regioselective B─H functionalization, via hydrogen atom transfer (HAT), is described. Unexplored xanthyl‐closo‐carboranes as novel bench‐stable and versatile platforms to access sulfur‐containing boron clusters are reported for the first time.
Marco Rusconi, Eugenia Magi, Polyssena Renzi, Emanuele Azzi, Valeria Lagostina, Enrico Salvadori, Mario Chiesa, Birgit Hischa, Giovanni Ghigo, Annamaria Deagostino   +9 more
wiley   +2 more sources

Neutron Anatomy

, 1996
The familiar extremes of crystalline material are single-crystals and random powders. In between these two extremes are polycrystalline aggregates, not randomly arranged but possessing some preferred orientation and this is the form taken by constructional materials, be they steel girders or the bones of a human or animal skeleton.
openaire   +3 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Predicting Crystal Structures and Ionic Conductivities in Li3 YCl6−x Brx Halide Solid Electrolytes Using a Fine‐Tuned Machine Learning Interatomic Potential

Advanced Intelligent Systems, EarlyView.
This study refines the Crystal Hamiltonian Graph Network to predict energies, structures, and lithium‐ion dynamics in halide electrolytes. By generating ordered structural models and using an iterative fine‐tuning workflow, we achieve near‐ab initio accuracy for phase stability and ionic transport predictions.
Jonas Böhm, Aurélie Champagne
wiley   +1 more source

MagNanoTrap‐Anreicherung ermöglicht ultrasensitive Quantifizierung gemischter Nanoplastikpartikel aus Umweltwasserproben

Angewandte Chemie, EarlyView.
Fe3O4‐Nanopartikel, beschichtet mit dem bifunktionalen Peptid LCI‐DZ‐MBP1, wobei LCI an die Eisenoxidoberfläche bindet und MBP1 als universelles kunststoffbindendes Peptid fungiert, ermöglichen in Kombination mit Pyrolyse‐Gaschromatographie/Massenspektrometrie (Py‐GC/MS) eine effiziente Anreicherung sowie eine präzise Detektion und Quantifizierung ...
Maochao Mao, Marian Bienstein, Francisca Contreras, Dong Wang, Lilin Feng, Ulrich Schwaneberg   +5 more
wiley   +1 more source

Atmospheric neutrons [PDF]

Contributions to fast neutron measurements in the atmosphere are outlined. The results of a calculation to determine the production, distribution and final disappearance of atmospheric neutrons over the entire spectrum are presented.
Korff, S. A., Light, E. S., Mendell, R. B., Merker, M., Sandie, W. S., Verschell, H. J.   +5 more
core   +1 more source