Results 191 to 200 of about 25,396 (267)

A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science. [PDF]

Sci Data
Sakib SN, Haque N, Hossain MZ, Arman SE.
europepmc   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

Advanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz, Ramin Yazdaanpanah, Yongfeng Guo, Pouriya Naziri, Sachin Kulkarni, Martina Mercurio, Maria Cristina Larciprete, Ilaria Fratoddi, Paul Simon, Wan‐Lu Li, Koray Aydin, Umut Aydemir   +11 more
wiley   +1 more source

Challenges and strategies for harnessing large language models in plant protection. [PDF]

Front Plant Sci
Li X, Shangguan W, Cao L, Yuan H, Yan X.
europepmc   +1 more source

Anisotropic Phonon Dynamics and Directional Transport in Actinide Van der Waals Semiconductor Uranium Triselenide

Advanced Functional Materials, EarlyView.
USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll, Valentino Jadriško, Sourav Dey, Nassima Benchtaber, Kalyan Sarkar, Borna Radatović, Jan Luxa, Fedor Lipilin, Kseniia Mosina, Vojtěch Kundrát, Jakub Zalesak, Jana Vejpravová, Martin Žáček, Szymon J. Zelewski, Nikolas Antonatos, Christoph Gadermaier, José J. Baldoví, Zdeněk Sofer   +17 more
wiley   +1 more source

Towards explainable language reasoning via multi-modal knowledge graphs. [PDF]

Sci Rep
Lu C, Luo J, Yu K, Chen T, Wang X, Qian F, Xi C.   +6 more
europepmc   +1 more source

CO2‐to‐CO Conversion in a Gas‐Fed, Zero‐Gap, PEM Electrolyzer Enabled by Polycations and Nitrogen‐Doped Carbon‐Supported Cobalt Nanoparticles

Advanced Functional Materials, EarlyView.
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow, Hsi‐Wen Wu, Aimin Li, Yalou Guo, Duhong Chen, Jie Zhang, Paul A. Webley   +6 more
wiley   +1 more source

Human-Artificial intelligence dialogue: Beyond the language barrier. [PDF]

Biomater Transl
Xia Z.
europepmc   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

Advanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani, Paulius Imbrasas, Jan‐Michael Mewes, Felix Kaden, Stephanie Anna Buchholtz, Karl Leo, Sebastian Schellhammer, Carsten Rothe, Sebastian Reineke   +8 more
wiley   +1 more source

Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Adaptation of Language Models for Clinical Decision-Making in Health Care: Systematic Review. [PDF]

J Med Internet Res
Patel A, Khand Y, Vallamchetla SK, Li P, Tao C, Cheung J.   +5 more
europepmc   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source