Results 131 to 140 of about 6,185,560 (237)

Electric Double Layer Engineering Induces O‐Down Interfacial Water Reorientation for Efficient and Long‐Term Seawater Electrolysis

Advanced Energy Materials, EarlyView.
The additive EDTMPS inhibits hydroxides deposition by chelating with Ca2+/Mg2+. It also disrupts the hydrogen bond network of interfacial water and expands the thickness of electric double layer, promoting more free water to flip into adsorbable O‐down configuration.
Tongzhou Li, Yutong Zhao, Hongjie Zhang, Yangkai Han, Zhiwei Ren, Feng Xie, Zongping Shao, Zhigang Shao   +7 more
wiley   +1 more source

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

MPM-based simulation and bounded-error compression of material points for magnetic tactile sensors. [PDF]

Front Robot AI
Lin X, Lin G, Liu R, Wang A, Lou Y.
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Motion and Morphology Planning for Autonomous Manipulation in Clutter With a Shape‐Shifting, Variable‐Stiffness Robot

Advanced Intelligent Systems, EarlyView.
A hybrid mobile robot with a modular Variable‐Stiffness Bridge transitions between a rigid locomotion platform and a flexible, shape‐conforming body. By enclosing objects within its deformable structure rather than relying on dedicated end effectors, the robot achieves orientation‐regulated planar transport, with conformal contact quality shown to ...
Luiza Labazanova, Liuming Qiu, Jose Guadalupe Romero, Li Cheng, Thrishantha Nanayakkara, David Navarro‐Alarcon   +5 more
wiley   +1 more source

Attention-Enhanced Pedestrian Trajectory Prediction via Compressed Point Cloud Representation. [PDF]

J Imaging
Han Y, Li S, Tan Y.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Polyproline: A Synthetic Polypeptide With Unique Properties

Angewandte Chemie, EarlyView.
Poly‐L‐proline is a unique polypeptide distinguished by its well‐defined secondary structures and unusual thermal behavior. This mini review highlights recent advances in the synthesis of poly‐L‐proline by N‐carboxyanhydride (NCA) polymerization, the formation of structurally defined architectures and nanostructures, and emerging strategies that ...
Rosanna Le Scouarnec, Josué M. Galindo, Colin Bonduelle, Andreas Heise   +3 more
wiley   +2 more sources