Results 161 to 170 of about 57,585 (218)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
In Reference to: The Role of the Physician in Caring for Patients Pursuing VSED: Challenging the Conventional Approach. [PDF]
Carroll T, Shaw M.
europepmc +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Originality, Authorship, and Accountability in AI-Enabled Pharmaceutical Design. [PDF]
Hubbard MF, M Issa A, Fossler MJ.
europepmc +1 more source
A large‐area, deformable high‐entropy‐ceramic (HEC)‐doped triboelectric nanogenerator with a trilayer architecture is developed, consisting of an HEC‐doped triboelectric layer, a graphite‐like textile charge‐storage layer, and stretchable carbon black electrodes.
Shengyou Li +13 more
wiley +1 more source
A reply to Reed on my 'Expressivist concerns for assisted dying on request'. [PDF]
VandenHombergh J.
europepmc +1 more source
This work introduces sustainable PLA/graphene oxide bioelectronic interfaces featuring electrodes with tunable conductivity and strong electrocatalytic performance. These platforms were used to implement a new method for tuning astrocyte Ca2+ signaling and for the efficient detection of key biomarkers.
Alessandra Scidà +15 more
wiley +1 more source
Professional obligations and the demandingness of acting against one's conscience. [PDF]
Giubilini A.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Information and counselling on post-mortem reproduction: a Delphi study with ART specialists. [PDF]
Rodrigues M, Silvestre M, V Martins M.
europepmc +1 more source

